R/occupar_occupation.R
In DiogoFerrari/occupar:
Defines functions
set.esec.labels
isco88toESeC
isco88toISEI08
isco88toISEI92
isco08toISEI92
isco08toISEI08
egp_get_n_classes
isco88toEGP
Documented in
isco08toISEI08
isco08toISEI92
isco88toEGP
isco88toESeC
isco88toISEI92
## =====================================================
## Occupation schemes: ISCO, EGP, ESEC, ISEC
## =====================================================
## {{{ Info: general }}}
## Info:
## - http://www.harryganzeboom.nl/ISCO08/qa-isei-08.htm
## - connelly2016review
## - Ganzeboom, Harry B.G.; Treiman, Donald J. (2003). "Three Internationally Standardised Measures for Comparative Research on Occupational Status." Pp. 159-193 in Jürgen H.P. Hoffmeyer-Zlotnik & Christof Wolf (Eds.), Advances in Cross-National Comparison. A European Working Book for Demographic and Socio-Economic Variables. New York: Kluwer Academic Press. Pp. 159-193. (6.1Mb)
## - Ganzeboom, Harry B.G.; Treiman, Donald J. (1996). “Internationally Comparable Measures of Occupational Status for the 1988 International Standard Classification of Occupations”. Social Science Research (25), pp. 201-239. (3.9 Mb)
## - Ganzeboom, Harry B.G.; De Graaf, Paul; Treiman, Donald J.; (with De Leeuw, Jan) (1992). "A Standard International Socio-Economic Index of Occupational Status", Social Science Research (21-1), pp. 1-56. (3.5Mb)
## - Ganzeboom, Harry B.G., Luijkx, Ruud; Treiman, Donald J. (1989). "Intergenerational Class Mobility in Comparative Perspective", Research in Social Stratification and Mobility (8), pp. 3-79.
##
## Schemes are:
## EGP (Erikson, Goldthorpe and Portocarero, 1979)
## ESeC (European Socio-Economic Classification as proposed by Rose and Harrison, 2009)
## ISEC-08 (International Socio-Economic Classes 2008),
## it is a categorization of occupational information coded in the ISCO-08. It gives information on
## status-in-employment into a 13 category social class scheme than contains well-known social class
## schemes as EGP and ESEC as special cases. The ISEC categories are:
## SIOPS (Standard International Occupation Prestige Score)
## - a.k.a Treiman-scale
## ISEI-08 (International Socio-Economic Index of occupational status)
## - continuous hierarchical scale
## - constructed on a database of 198500 men and women with valid education,
## occupation and (personal) incomes derived from the combined 2002-2007 issues of the
## International Social Survey Programme [ISSP].
## - while the aim of the new ISEI was to produce socio-economic status scores for ISCO-08,
## it was in fact calculated on occupations classified in ISCO-88 and then converted to
## ISCO-08 occupations.
##
## Differences:
## - ISEI is empirically constructed, while EGP and ESEC are a-priori constructions
## that are at best validated on empirical data.
## It only uses occupational data (i.e. occupation as classified by ISCO), whereas EGP and ESEC
## heavily use status-in-employment (self-employment and supervision)
## indicators to construct socio-economic classes.
## - Despite the differences ISEI and EGP (and presumably ESEC) are empirically strongly correlated (0.90),
## much more strongly than ISEI and SIOPS. If optimally scaled using a single dimension,
## EGP scores are virtually identical to their ISEI means.
##
## }}}
## {{{ Info EGP 7 }}}
## EGP (Erikson, Goldthorpe and Portocarero, 1979)
## Goldthorpe (1987) created a scheme for British data, which was restricted to the roman numerals and
## contained SEVEN classes:
## 1 I Service class I
## 2 II Service class II
## 3 III Routine non-manual
## 4 IV Self-employed
## 5 V Manual supervisors/Lower grade technicians
## 6 VI Skilled workers
## 7 VII Unskilled workers/Farm labours
## }}}
## {{{ Info EGP 11 }}}
## The scheme was extended into ELEVEN classes (Erikson and Goldthorpe, 1992)
## 1 I Service class I
## 2 II Service class II
## 3 III.a Routine non-manual higher grade
## 4 III.b Routine non-manual lower grade
## 5 IV.a Self-employed with employees
## 6 IV.b Self-employed with no empoyees
## 7 IV.c Self-employed Farmers etc
## 8 V Manual supervisors/Lower grade technicians
## 9 VI Skilled workers
## 10 VII.a Unskilled workers
## 11 VII.b Farm labours
## }}}
## {{{ Info EGP 5 }}}
## Other versions are FIVE classes scheme
## 1 I-III White-collar workers
## 2 IV.a+IV.b Petty bourgeoisie
## 3 IV.c+VII.b Farm workers
## 4 V+VI Skilled workers
## 5 VII.a Non-skilled workers
## }}}
## {{{ Info EGP 3 }}}
## and THREE class scheme
## 1 I-II+IV.a-b Non-manual workers
## 2 IV.c+VII.b Farm workers
## 3 V+VI+VI.a Manual workers
## }}}
## {{{ Info ISEC-08 }}}
## I-a Higher level professionals 1
## I-b Higher level managers and entrepreneurs 2
## II-a Lower level professionals 3
## II-b Lower level managers 4
## III-a Clerical Routine Non-manual Workers 5
## III-b Sales and Service Routine Non-manual Workers 6
## IV-a Small Self-employed with employees 7
## IV-b Small Self-employed without employers 8
## IV-c Small Self-employed in agriculture 9
## V Manual Supervisors 10
## VI Skilled Manual Workers 11
## VII-a Semi- and Unskilled Manual Workers 12
## VII-b Agricultural Labourers 13
## }}}
## ---------------------------------------
## Converting ISCO into Occupation Schemes
## ---------------------------------------
## {{{ docs }}}
#' Recode occupation to EGP class scheme
#'
#' The function creates a factor with the EGP class scheme
#'
#'
#' @param isco88 numeric vector with the isco88 4 digit code.
#' @param n.classes either 11, 7, 5, or 3, indicating the number of EGP classes to use
#' @inheritParams isco88toESeC
#' @param collapse deprecated
#'
#' @details
#' The number of classes to use in the EGP scheme is based on
#' - Connelly, R., Gayle, V., & Lambert, P. S., (2016) A review of occupation-based social classifications for social survey research, Methodological Innovations, v.9, p.1-14.
#'
#' @export
## }}}
isco88toEGP <- function(isco88, n.employees=NULL, self.employed=NULL, collapse=FALSE, n.classes=11)
{
if (n.classes %!in% c(11,7,5,3)) {
stop("\n\nNumber of classes (n.classes) allowed to compute EGP class scheme are 11, 7, 5, 3.\n\n")
}
## Recode ISCO88 to EGP using Ganzebooms' code
egp = rep(NA, length(isco88))
## Code the simple version, based on 4 digit ISCO88 values
## CLASS 1
egp[isco88 %in% c(1000, 2000, 1100, 2100, 1110, 2110, 1120, 2111, 2112,
2113, 2114, 2120, 2121, 1200, 2122, 1210, 2130, 1220, 2131, 1222, 1223,
2140, 1224, 2141, 1225, 2142, 1226, 2143, 1227, 2144, 1228, 2145, 1229,
2146, 1230, 2147, 1231, 1232, 2149, 1233, 2200, 3143, 1234, 2210, 3144,
1235, 2211, 1236, 2212, 1237, 2213, 1239, 2220, 2221, 1250, 2222, 1251,
2223, 2224, 2229, 2310, 2350, 2351, 2352, 2400, 2411, 2420, 2421, 2422,
2429, 2440, 2441, 2442, 2443, 2445)] <- 1 ## CLASS 1
## CLASS 2
egp[isco88 %in% c(3000, 3100, 3110, 3111, 1130, 3112, 1140, 3113, 1141,
3114, 1142, 3115, 5121, 1143, 3116, 3117, 3118, 3119, 2132, 3120, 2139,
3121, 3122, 3123, 3130, 3131, 3132, 3133, 3139, 5150, 3140, 5151, 2148,
3141, 5152, 3142, 3145, 3150, 3151, 3152, 1240, 3200, 3210, 3211, 1252,
3212, 1300, 3213, 1310, 2230, 3220, 2300, 3221, 1312, 3222, 1313, 2320,
3223, 1314, 2321, 3224, 1315, 2322, 3225, 1316, 2323, 3226, 1317, 2330,
3227, 1318, 2331, 3228, 1319, 2332, 3229, 2340, 3240, 2359, 3241, 3242,
2410, 2412, 2419, 3400, 3410, 3411, 2430, 3412, 2431, 3413, 2432, 3414,
3415, 3416, 3417, 3419, 2444, 3420, 3421, 2446, 3422, 2450, 3423, 2451,
3429, 2452, 2453, 3431, 2454, 3432, 2455, 2460, 3434, 3440, 3441, 3442,
3443, 3444, 3449, 3450, 3451, 3470, 3471, 3472, 3473, 3474,
3475)] <- 2 ## CLASS 2
## EGP CLASS 3
egp[isco88 %in% c(4000, 4100, 4122, 9100, 4110, 9110, 4111, 9111, 4112, 9112,
4113, 9113, 4114, 4115, 4120, 4121, 3230, 3231, 3232, 3300, 3310, 3320, 3330,
3340, 3430, 3433, 3439, 3460, 3480)] <- 3
## EGP CLASS 4
egp[isco88 %in% c(5000, 5100, 5110, 5111, 5112, 5113, 5120, 4130, 5131,
4131, 4132, 5133, 4133, 4140, 4141, 4143, 4144, 4190, 4200, 4210, 4211,
4212, 4213, 4214, 4215, 4220, 4221, 5200, 4222, 5210, 4223, 5220, 5230)] <- 4
## CLASSES 5 and 5, see below
## CLASS 7
egp[isco88 %in% c(3452, 7510)] <- 7 ## CLASS 7
## CLASS 8
egp[isco88 %in% c(7000, 7120, 5122, 7124, 7129, 7130, 7132, 5140, 7133, 5141, 7134, 5143, 7136, 8150, 7137,
8151, 7140, 8152, 7141, 8153, 8154, 8155, 5161, 7200, 8159,
5162, 7210, 8160, 7211, 8161, 5164, 7212, 8162, 7213, 8163, 7214, 8170, 7215, 8171, 7216,
8172, 7220, 7221, 7222, 7223, 7224, 7230, 7231, 7232, 7233, 7240, 7241, 7242,
7243, 7244, 7245, 7300, 7310, 7311, 7312, 7313, 7323, 7324, 7340, 7341, 7342, 7343, 7344,
7345, 7346, 7400, 7410, 7411, 7412, 7413, 7414, 7415, 7416, 7420, 7422, 8311,
7423, 7430, 7433, 7434, 7435, 7436, 8332, 7437, 8333, 7440, 7441, 7442, 7500, 7520)] <- 8
## CLASS 9
egp[isco88 %in% c(8000, 9000, 7100, 8100, 7110, 8110, 7111, 8111, 7112, 8112, 7113, 8113, 8120, 9120, 7121,
8121, 9130, 7122, 8122, 9131, 5123, 7123, 8123, 9132, 5130,
8124, 9133, 8130, 9140, 5132, 8131, 9141, 7131, 8139, 9142, 5139, 8140, 9150, 8141, 9151,
8142, 9152, 4142, 5142, 7135, 8143, 9153, 9160, 5149, 9161, 9162, 9200, 7142,
5160, 7143, 5163, 9300, 9310, 5169, 9311, 9312, 9313, 9320, 8200, 9321, 8210, 9322, 8211,
9330, 8212, 9331, 8220, 9332, 8221, 9333, 8222, 8223, 8224, 7234, 8229, 8230,
8231, 8232, 8240, 8250, 8251, 8252, 8253, 8260, 8261, 8262, 7320, 8263, 7321, 8264, 7322,
8265, 8266, 8269, 7330, 8270, 7331, 8271, 7332, 8272, 8273, 8274, 8275, 8276,
8277, 8278, 8279, 8280, 8281, 8282, 8283, 8284, 8285, 8286, 8290, 8300, 7421, 8310, 8312,
7424, 8320, 8321, 7431, 8322, 7432, 8323, 8324, 8330, 8334, 8340, 8400,
7530)] <- 9
## CLASS 10
egp[isco88 %in% c(6000, 6100, 6110, 6111, 6112, 6113, 6114, 6120, 6121, 6122, 6123, 6124, 6129, 6130, 6134,
6140, 6141, 6142, 6150, 6151, 9210, 6152, 9211, 6153, 9212,
6154, 9213, 8331)] <- 10
## CLASS 11
egp[isco88 %in% c(1221, 6131, 6132, 6133, 6200, 6210, 1311)] <- 11
## CLASSES 5 and 6
if (!is.null(self.employed) & !is.null(n.employees)) {
n.employees[is.na(n.employees)] = 0
self.employed[is.na(self.employed)] = 0
## CLASS 5
egp[self.employed == 1 & n.employees > 0 ] = 5
## CLASS 6
egp[self.employed == 1 & n.employees == 0 ] = 6
}
egp = egp_get_n_classes(egp, n.classes)
return(egp)
}
egp_get_n_classes <- function(egp, n.classes)
{
if (n.classes==11) {
egp = factor(egp, levels=1:11, labels=c("I Service class I",
"II Service class II",
"III.a Routine non-manual, higher grade",
"III.b Routine non-manual, lower grade",
"IV.a Self-employed with employees",
"IV.b Self-employed with no empoyees",
"IV.c Self-employed Farmers etc",
"V Manual supervisors/Lower grade technicians",
"VI Skilled workers",
"VII.a Unskilled workers",
"VII.b Farm labours"))
}
if (n.classes==7) {
egp[egp %in% c(1)] = 1
egp[egp %in% c(2)] = 2
egp[egp %in% c(3:4)] = 3
egp[egp %in% c(5:7)] = 4
egp[egp %in% c(8)] = 5
egp[egp %in% c(9)] = 6
egp[egp %in% c(10:11)] = 7
egp = factor(egp, levels=1:7, labels=c("I Service class I",
"II Service class II",
"III Routine non-manual",
## "III.a Routine non-manual, higher grade",
## "III.b Routine non-manual, lower grade",
"IV Self-employed",
## "IV.a Self-employed with employees",
## "IV.b Self-employed with no empoyees",
## "IV.c Self-employed Farmers etc",
"V Manual supervisors/Lower grade technicians",
"VI Skilled workers",
"VII Unskilled workers/Farm labours"
## "VII.a Unskilled workers",
## "VII.b Farm labours"
))
}
if (n.classes==5) {
egp[egp %in% c(1:4)] = 1
egp[egp %in% c(5:6)] = 2
egp[egp %in% c(7, 11)] = 3
egp[egp %in% c(8:9)] = 4
egp[egp %in% c(10)] = 5
egp = factor(egp, levels=1:5, labels=c(
"I-III White-collar workers",
"IV.a+IV.b Petty bourgeoisie",
"IV.c+VII.b Farm workers",
"V+VI Skilled workers",
"VII.a Non-skilled workers"
))
}
if (n.classes==3) {
egp[egp %in% c(1:6)] = 1
egp[egp %in% c(7, 11)] = 2
egp[egp %in% c(8:10)] = 3
egp = factor(egp, levels=1:3, labels=c(
"I-II+IV.a-b Non-manual workers",
"IV.c+VII.b Farm workers",
"V+VI+VI.a Manual workers"
))
}
return(egp)
}
## {{{ docs }}}
#' Recode ISCO-08 into ISEI-08
#'
#' The function recodes ISCO-08 into ISEI-08.
#'
#' @param isco08 a numeric vector with the ISCO-08 codes
#' @param display.nas boolean. If true (defaul is \code{FALSE}), displays table with unmatched ISCO-08 codes.
#'
#' @details
#' The ISEI-08 is an update of the ISEI (or ISEI-92). The funtion converts ISCO-08 to that updated version. References:
#'
#' Ganzeboom, H. B., De Graaf, P. M., & Treiman, D. J., (1992) A standard international socio-economic index of occupational status, Social science research, 21(1), 1–56.
#' Ganzeboom, H. B., (2010) A new international socio-economic index (isei) of occupational status for the international standard classification of occupation 2008 (isco-08) constructed with data from the issp 2002-2007, In , Annual Conference of International Social Survey Programme, Lisbon (pp. )
#'
#' @return
#' It returns a vector with ISEI-08 codes.
#'
#' @export
## }}}
isco08toISEI08 <- function(isco08, display.nas=FALSE)
{
isei = tibble::tibble(isco08=isco08)
isei = isei %>%
dplyr::mutate(isei08 = dplyr::case_when(
isco08 == 0 ~ 51.25,
isco08 == 100 ~ 60.92,
isco08 == 110 ~ 60.92,
isco08 == 200 ~ 51.63,
isco08 == 210 ~ 51.63,
isco08 == 300 ~ 29.18,
isco08 == 310 ~ 29.18,
isco08 == 1000 ~ 65.12,
isco08 == 1100 ~ 71.72,
isco08 == 1110 ~ 74.50,
isco08 == 1111 ~ 68.77,
isco08 == 1112 ~ 78.76,
isco08 == 1113 ~ 64.98,
isco08 == 1114 ~ 71.29,
isco08 == 1120 ~ 70.34,
isco08 == 1200 ~ 72.94,
isco08 == 1210 ~ 72.24,
isco08 == 1211 ~ 73.38,
isco08 == 1212 ~ 74.79,
isco08 == 1213 ~ 70.57,
isco08 == 1219 ~ 68.54,
isco08 == 1220 ~ 73.71,
isco08 == 1221 ~ 71.39,
isco08 == 1222 ~ 75.25,
isco08 == 1223 ~ 81.92,
isco08 == 1300 ~ 65.25,
isco08 == 1310 ~ 49.48,
isco08 == 1311 ~ 49.48,
isco08 == 1312 ~ 49.48,
isco08 == 1320 ~ 61.57,
isco08 == 1321 ~ 65.42,
isco08 == 1322 ~ 61.57,
isco08 == 1323 ~ 59.89,
isco08 == 1324 ~ 58.07,
isco08 == 1330 ~ 78.86,
isco08 == 1340 ~ 65.01,
isco08 == 1341 ~ 65.01,
isco08 == 1342 ~ 65.01,
isco08 == 1343 ~ 65.01,
isco08 == 1344 ~ 65.01,
isco08 == 1345 ~ 65.01,
isco08 == 1346 ~ 65.01,
isco08 == 1349 ~ 65.01,
isco08 == 1400 ~ 51.01,
isco08 == 1410 ~ 43.85,
isco08 == 1411 ~ 43.85,
isco08 == 1412 ~ 43.85,
isco08 == 1420 ~ 51.56,
isco08 == 1430 ~ 51.01,
isco08 == 1431 ~ 51.01,
isco08 == 1439 ~ 51.01,
isco08 == 2000 ~ 76.24,
isco08 == 2100 ~ 79.49,
isco08 == 2110 ~ 84.16,
isco08 == 2111 ~ 84.61,
isco08 == 2112 ~ 84.61,
isco08 == 2113 ~ 83.50,
isco08 == 2114 ~ 86.81,
isco08 == 2120 ~ 81.78,
isco08 == 2130 ~ 80.46,
isco08 == 2131 ~ 80.46,
isco08 == 2132 ~ 78.17,
isco08 == 2133 ~ 80.46,
isco08 == 2140 ~ 79.05,
isco08 == 2141 ~ 79.05,
isco08 == 2142 ~ 81.40,
isco08 == 2143 ~ 79.05,
isco08 == 2144 ~ 77.10,
isco08 == 2145 ~ 82.31,
isco08 == 2146 ~ 79.31,
isco08 == 2149 ~ 78.69,
isco08 == 2150 ~ 80.75,
isco08 == 2151 ~ 80.78,
isco08 == 2152 ~ 80.75,
isco08 == 2153 ~ 80.75,
isco08 == 2160 ~ 79.74,
isco08 == 2161 ~ 79.74,
isco08 == 2162 ~ 79.74,
isco08 == 2163 ~ 79.74,
isco08 == 2164 ~ 79.74,
isco08 == 2165 ~ 72.96,
isco08 == 2166 ~ 79.74,
isco08 == 2200 ~ 76.98,
isco08 == 2210 ~ 88.70,
isco08 == 2211 ~ 88.70,
isco08 == 2212 ~ 81.92,
isco08 == 2220 ~ 68.70,
isco08 == 2221 ~ 68.70,
isco08 == 2222 ~ 68.70,
isco08 == 2230 ~ 76.98,
isco08 == 2240 ~ 76.98,
isco08 == 2250 ~ 84.14,
isco08 == 2260 ~ 75.43,
isco08 == 2261 ~ 88.31,
isco08 == 2262 ~ 81.13,
isco08 == 2263 ~ 75.43,
isco08 == 2264 ~ 67.94,
isco08 == 2265 ~ 65.23,
isco08 == 2266 ~ 75.43,
isco08 == 2267 ~ 75.43,
isco08 == 2269 ~ 75.43,
isco08 == 2300 ~ 75.54,
isco08 == 2310 ~ 85.41,
isco08 == 2320 ~ 72.30,
isco08 == 2330 ~ 82.41,
isco08 == 2340 ~ 71.45,
isco08 == 2341 ~ 76.49,
isco08 == 2342 ~ 58.77,
isco08 == 2350 ~ 68.88,
isco08 == 2351 ~ 77.88,
isco08 == 2352 ~ 70.89,
isco08 == 2353 ~ 68.88,
isco08 == 2354 ~ 68.88,
isco08 == 2355 ~ 68.88,
isco08 == 2356 ~ 68.88,
isco08 == 2359 ~ 66.42,
isco08 == 2400 ~ 73.91,
isco08 == 2410 ~ 75.50,
isco08 == 2411 ~ 76.65,
isco08 == 2412 ~ 75.50,
isco08 == 2413 ~ 75.50,
isco08 == 2420 ~ 70.09,
isco08 == 2421 ~ 70.09,
isco08 == 2422 ~ 72.94,
isco08 == 2423 ~ 68.55,
isco08 == 2424 ~ 70.09,
isco08 == 2430 ~ 73.91,
isco08 == 2431 ~ 73.91,
isco08 == 2432 ~ 73.91,
isco08 == 2433 ~ 73.91,
isco08 == 2434 ~ 73.91,
isco08 == 2500 ~ 75.13,
isco08 == 2510 ~ 74.66,
isco08 == 2511 ~ 74.66,
isco08 == 2512 ~ 74.66,
isco08 == 2513 ~ 74.66,
isco08 == 2514 ~ 74.66,
isco08 == 2519 ~ 74.70,
isco08 == 2520 ~ 75.13,
isco08 == 2521 ~ 75.13,
isco08 == 2522 ~ 75.13,
isco08 == 2523 ~ 75.13,
isco08 == 2529 ~ 75.13,
isco08 == 2600 ~ 75.67,
isco08 == 2610 ~ 85.13,
isco08 == 2611 ~ 86.72,
isco08 == 2612 ~ 88.96,
isco08 == 2619 ~ 81.05,
isco08 == 2620 ~ 71.55,
isco08 == 2621 ~ 77.19,
isco08 == 2622 ~ 70.40,
isco08 == 2630 ~ 77.24,
isco08 == 2631 ~ 80.92,
isco08 == 2632 ~ 83.09,
isco08 == 2633 ~ 83.81,
isco08 == 2634 ~ 85.85,
isco08 == 2635 ~ 70.50,
isco08 == 2636 ~ 71.55,
isco08 == 2640 ~ 72.83,
isco08 == 2641 ~ 72.83,
isco08 == 2642 ~ 72.83,
isco08 == 2643 ~ 80.92,
isco08 == 2650 ~ 63.31,
isco08 == 2651 ~ 61.82,
isco08 == 2652 ~ 64.44,
isco08 == 2653 ~ 61.82,
isco08 == 2654 ~ 63.31,
isco08 == 2655 ~ 70.10,
isco08 == 2656 ~ 54.00,
isco08 == 2659 ~ 37.59,
isco08 == 3000 ~ 56.03,
isco08 == 3100 ~ 52.40,
isco08 == 3110 ~ 53.60,
isco08 == 3111 ~ 55.03,
isco08 == 3112 ~ 59.35,
isco08 == 3113 ~ 51.92,
isco08 == 3114 ~ 56.38,
isco08 == 3115 ~ 53.77,
isco08 == 3116 ~ 59.45,
isco08 == 3117 ~ 62.79,
isco08 == 3118 ~ 50.73,
isco08 == 3119 ~ 51.35,
isco08 == 3120 ~ 38.18,
isco08 == 3121 ~ 37.83,
isco08 == 3122 ~ 40.54,
isco08 == 3123 ~ 37.83,
isco08 == 3130 ~ 33.66,
isco08 == 3131 ~ 46.73,
isco08 == 3132 ~ 37.22,
isco08 == 3133 ~ 33.66,
isco08 == 3134 ~ 33.66,
isco08 == 3135 ~ 33.66,
isco08 == 3139 ~ 31.46,
isco08 == 3140 ~ 54.86,
isco08 == 3141 ~ 54.86,
isco08 == 3142 ~ 58.05,
isco08 == 3143 ~ 54.86,
isco08 == 3150 ~ 63.29,
isco08 == 3151 ~ 56.41,
isco08 == 3152 ~ 52.70,
isco08 == 3153 ~ 73.71,
isco08 == 3154 ~ 69.24,
isco08 == 3155 ~ 67.04,
isco08 == 3200 ~ 55.40,
isco08 == 3210 ~ 54.92,
isco08 == 3211 ~ 57.04,
isco08 == 3212 ~ 57.37,
isco08 == 3213 ~ 48.66,
isco08 == 3214 ~ 54.92,
isco08 == 3220 ~ 56.98,
isco08 == 3221 ~ 56.00,
isco08 == 3222 ~ 51.93,
isco08 == 3230 ~ 51.57,
isco08 == 3240 ~ 24.79,
isco08 == 3250 ~ 53.15,
isco08 == 3251 ~ 47.83,
isco08 == 3252 ~ 53.15,
isco08 == 3253 ~ 53.15,
isco08 == 3254 ~ 59.85,
isco08 == 3255 ~ 53.15,
isco08 == 3256 ~ 44.92,
isco08 == 3257 ~ 57.25,
isco08 == 3258 ~ 53.15,
isco08 == 3259 ~ 61.91,
isco08 == 3300 ~ 57.64,
isco08 == 3310 ~ 57.13,
isco08 == 3311 ~ 72.27,
isco08 == 3312 ~ 59.76,
isco08 == 3313 ~ 55.25,
isco08 == 3314 ~ 69.76,
isco08 == 3315 ~ 57.68,
isco08 == 3320 ~ 57.97,
isco08 == 3321 ~ 60.29,
isco08 == 3322 ~ 57.03,
isco08 == 3323 ~ 56.35,
isco08 == 3324 ~ 61.18,
isco08 == 3330 ~ 56.64,
isco08 == 3331 ~ 54.62,
isco08 == 3332 ~ 56.64,
isco08 == 3333 ~ 60.44,
isco08 == 3334 ~ 62.39,
isco08 == 3339 ~ 59.89,
isco08 == 3340 ~ 57.99,
isco08 == 3341 ~ 62.13,
isco08 == 3342 ~ 57.99,
isco08 == 3343 ~ 54.55,
isco08 == 3344 ~ 57.99,
isco08 == 3350 ~ 61.60,
isco08 == 3351 ~ 65.64,
isco08 == 3352 ~ 67.11,
isco08 == 3353 ~ 54.27,
isco08 == 3354 ~ 59.18,
isco08 == 3355 ~ 63.03,
isco08 == 3359 ~ 64.40,
isco08 == 3400 ~ 52.57,
isco08 == 3410 ~ 54.35,
isco08 == 3411 ~ 57.00,
isco08 == 3412 ~ 52.72,
isco08 == 3413 ~ 54.54,
isco08 == 3420 ~ 50.90,
isco08 == 3421 ~ 50.90,
isco08 == 3422 ~ 50.90,
isco08 == 3423 ~ 50.90,
isco08 == 3430 ~ 50.15,
isco08 == 3431 ~ 50.15,
isco08 == 3432 ~ 57.64,
isco08 == 3433 ~ 50.15,
isco08 == 3434 ~ 50.15,
isco08 == 3435 ~ 50.15,
isco08 == 3500 ~ 60.93,
isco08 == 3510 ~ 62.45,
isco08 == 3511 ~ 61.07,
isco08 == 3512 ~ 62.45,
isco08 == 3513 ~ 62.45,
isco08 == 3514 ~ 62.45,
isco08 == 3520 ~ 56.50,
isco08 == 3521 ~ 56.57,
isco08 == 3522 ~ 56.50,
isco08 == 4000 ~ 43.51,
isco08 == 4100 ~ 43.33,
isco08 == 4110 ~ 43.33,
isco08 == 4120 ~ 44.94,
isco08 == 4130 ~ 44.87,
isco08 == 4131 ~ 48.27,
isco08 == 4132 ~ 40.56,
isco08 == 4200 ~ 41.22,
isco08 == 4210 ~ 43.06,
isco08 == 4211 ~ 48.10,
isco08 == 4212 ~ 48.82,
isco08 == 4213 ~ 50.05,
isco08 == 4214 ~ 50.05,
isco08 == 4220 ~ 39.02,
isco08 == 4221 ~ 49.30,
isco08 == 4222 ~ 39.02,
isco08 == 4223 ~ 38.58,
isco08 == 4224 ~ 39.02,
isco08 == 4225 ~ 39.02,
isco08 == 4226 ~ 39.02,
isco08 == 4227 ~ 39.02,
isco08 == 4229 ~ 39.02,
isco08 == 4300 ~ 44.08,
isco08 == 4310 ~ 50.57,
isco08 == 4311 ~ 50.37,
isco08 == 4312 ~ 57.38,
isco08 == 4313 ~ 50.57,
isco08 == 4320 ~ 36.10,
isco08 == 4321 ~ 32.50,
isco08 == 4322 ~ 41.63,
isco08 == 4323 ~ 41.27,
isco08 == 4400 ~ 42.30,
isco08 == 4410 ~ 42.30,
isco08 == 4411 ~ 42.30,
isco08 == 4412 ~ 27.52,
isco08 == 4413 ~ 51.77,
isco08 == 4414 ~ 54.67,
isco08 == 4415 ~ 42.30,
isco08 == 4416 ~ 42.30,
isco08 == 4419 ~ 44.72,
isco08 == 5000 ~ 29.32,
isco08 == 5100 ~ 27.57,
isco08 == 5110 ~ 45.46,
isco08 == 5111 ~ 46.76,
isco08 == 5112 ~ 38.44,
isco08 == 5113 ~ 47.42,
isco08 == 5120 ~ 24.53,
isco08 == 5130 ~ 25.04,
isco08 == 5131 ~ 25.04,
isco08 == 5132 ~ 25.04,
isco08 == 5140 ~ 31.08,
isco08 == 5141 ~ 31.08,
isco08 == 5142 ~ 31.08,
isco08 == 5150 ~ 25.46,
isco08 == 5151 ~ 25.20,
isco08 == 5152 ~ 32.20,
isco08 == 5153 ~ 21.82,
isco08 == 5160 ~ 30.59,
isco08 == 5161 ~ 32.75,
isco08 == 5162 ~ 24.07,
isco08 == 5163 ~ 34.25,
isco08 == 5164 ~ 30.59,
isco08 == 5165 ~ 30.59,
isco08 == 5169 ~ 32.75,
isco08 == 5200 ~ 29.73,
isco08 == 5210 ~ 26.64,
isco08 == 5211 ~ 28.84,
isco08 == 5212 ~ 23.53,
isco08 == 5220 ~ 29.47,
isco08 == 5221 ~ 35.34,
isco08 == 5222 ~ 44.14,
isco08 == 5223 ~ 28.48,
isco08 == 5230 ~ 30.90,
isco08 == 5240 ~ 39.04,
isco08 == 5241 ~ 39.73,
isco08 == 5242 ~ 39.04,
isco08 == 5243 ~ 39.04,
isco08 == 5244 ~ 38.88,
isco08 == 5245 ~ 39.04,
isco08 == 5246 ~ 39.04,
isco08 == 5249 ~ 39.04,
isco08 == 5300 ~ 25.09,
isco08 == 5310 ~ 24.98,
isco08 == 5311 ~ 24.98,
isco08 == 5312 ~ 24.98,
isco08 == 5320 ~ 26.64,
isco08 == 5321 ~ 26.64,
isco08 == 5322 ~ 21.64,
isco08 == 5329 ~ 26.64,
isco08 == 5400 ~ 36.86,
isco08 == 5410 ~ 36.86,
isco08 == 5411 ~ 46.38,
isco08 == 5412 ~ 51.50,
isco08 == 5413 ~ 48.13,
isco08 == 5414 ~ 23.80,
isco08 == 5419 ~ 33.83,
isco08 == 6000 ~ 19.20,
isco08 == 6100 ~ 19.41,
isco08 == 6110 ~ 16.34,
isco08 == 6111 ~ 11.56,
isco08 == 6112 ~ 18.95,
isco08 == 6113 ~ 20.91,
isco08 == 6114 ~ 12.87,
isco08 == 6120 ~ 22.21,
isco08 == 6121 ~ 21.13,
isco08 == 6122 ~ 19.83,
isco08 == 6123 ~ 28.04,
isco08 == 6129 ~ 28.04,
isco08 == 6130 ~ 17.79,
isco08 == 6200 ~ 18.29,
isco08 == 6210 ~ 19.78,
isco08 == 6220 ~ 16.33,
isco08 == 6221 ~ 17.00,
isco08 == 6222 ~ 13.35,
isco08 == 6223 ~ 20.69,
isco08 == 6224 ~ 11.01,
isco08 == 6300 ~ 11.01,
isco08 == 6310 ~ 11.01,
isco08 == 6320 ~ 11.01,
isco08 == 6330 ~ 11.01,
isco08 == 6340 ~ 11.01,
isco08 == 7000 ~ 28.53,
isco08 == 7100 ~ 25.39,
isco08 == 7110 ~ 25.94,
isco08 == 7111 ~ 33.76,
isco08 == 7112 ~ 22.57,
isco08 == 7113 ~ 23.96,
isco08 == 7114 ~ 21.96,
isco08 == 7115 ~ 26.62,
isco08 == 7119 ~ 26.92,
isco08 == 7120 ~ 25.26,
isco08 == 7121 ~ 22.16,
isco08 == 7122 ~ 22.75,
isco08 == 7123 ~ 18.02,
isco08 == 7124 ~ 27.81,
isco08 == 7125 ~ 24.09,
isco08 == 7126 ~ 29.16,
isco08 == 7127 ~ 25.26,
isco08 == 7130 ~ 23.63,
isco08 == 7131 ~ 22.77,
isco08 == 7132 ~ 24.49,
isco08 == 7133 ~ 30.47,
isco08 == 7200 ~ 29.81,
isco08 == 7210 ~ 27.61,
isco08 == 7211 ~ 28.03,
isco08 == 7212 ~ 28.52,
isco08 == 7213 ~ 25.51,
isco08 == 7214 ~ 26.60,
isco08 == 7215 ~ 28.60,
isco08 == 7220 ~ 29.84,
isco08 == 7221 ~ 25.63,
isco08 == 7222 ~ 33.16,
isco08 == 7223 ~ 28.70,
isco08 == 7224 ~ 33.90,
isco08 == 7230 ~ 31.15,
isco08 == 7231 ~ 30.78,
isco08 == 7232 ~ 47.74,
isco08 == 7233 ~ 31.72,
isco08 == 7234 ~ 31.15,
isco08 == 7300 ~ 31.00,
isco08 == 7310 ~ 30.35,
isco08 == 7311 ~ 35.70,
isco08 == 7312 ~ 35.66,
isco08 == 7313 ~ 28.12,
isco08 == 7314 ~ 24.43,
isco08 == 7315 ~ 25.78,
isco08 == 7316 ~ 30.14,
isco08 == 7317 ~ 28.95,
isco08 == 7318 ~ 28.97,
isco08 == 7319 ~ 30.35,
isco08 == 7320 ~ 31.50,
isco08 == 7321 ~ 35.33,
isco08 == 7322 ~ 30.49,
isco08 == 7323 ~ 28.24,
isco08 == 7400 ~ 37.34,
isco08 == 7410 ~ 36.97,
isco08 == 7411 ~ 36.35,
isco08 == 7412 ~ 36.92,
isco08 == 7413 ~ 39.45,
isco08 == 7420 ~ 41.68,
isco08 == 7421 ~ 43.76,
isco08 == 7422 ~ 36.92,
isco08 == 7500 ~ 23.97,
isco08 == 7510 ~ 23.46,
isco08 == 7511 ~ 20.95,
isco08 == 7512 ~ 23.57,
isco08 == 7513 ~ 27.30,
isco08 == 7514 ~ 22.79,
isco08 == 7515 ~ 34.12,
isco08 == 7516 ~ 26.96,
isco08 == 7520 ~ 23.65,
isco08 == 7521 ~ 21.81,
isco08 == 7522 ~ 25.23,
isco08 == 7523 ~ 20.78,
isco08 == 7530 ~ 22.03,
isco08 == 7531 ~ 23.47,
isco08 == 7532 ~ 24.88,
isco08 == 7533 ~ 21.24,
isco08 == 7534 ~ 22.25,
isco08 == 7535 ~ 28.08,
isco08 == 7536 ~ 18.07,
isco08 == 7540 ~ 43.19,
isco08 == 7541 ~ 27.30,
isco08 == 7542 ~ 27.30,
isco08 == 7543 ~ 43.19,
isco08 == 7544 ~ 55.96,
isco08 == 7549 ~ 43.19,
isco08 == 8000 ~ 25.45,
isco08 == 8100 ~ 23.41,
isco08 == 8110 ~ 31.44,
isco08 == 8111 ~ 35.07,
isco08 == 8112 ~ 25.11,
isco08 == 8113 ~ 35.82,
isco08 == 8114 ~ 26.13,
isco08 == 8120 ~ 25.91,
isco08 == 8121 ~ 30.32,
isco08 == 8122 ~ 22.36,
isco08 == 8130 ~ 29.30,
isco08 == 8131 ~ 29.14,
isco08 == 8132 ~ 31.34,
isco08 == 8140 ~ 25.49,
isco08 == 8141 ~ 23.09,
isco08 == 8142 ~ 24.85,
isco08 == 8143 ~ 32.67,
isco08 == 8150 ~ 16.80,
isco08 == 8151 ~ 17.85,
isco08 == 8152 ~ 18.03,
isco08 == 8153 ~ 13.24,
isco08 == 8154 ~ 16.08,
isco08 == 8155 ~ 20.35,
isco08 == 8156 ~ 20.35,
isco08 == 8157 ~ 16.80,
isco08 == 8159 ~ 21.20,
isco08 == 8160 ~ 18.13,
isco08 == 8170 ~ 22.40,
isco08 == 8171 ~ 27.25,
isco08 == 8172 ~ 19.08,
isco08 == 8180 ~ 24.15,
isco08 == 8181 ~ 21.13,
isco08 == 8182 ~ 23.19,
isco08 == 8183 ~ 24.15,
isco08 == 8189 ~ 24.16,
isco08 == 8200 ~ 24.93,
isco08 == 8210 ~ 24.93,
isco08 == 8211 ~ 27.91,
isco08 == 8212 ~ 23.88,
isco08 == 8219 ~ 24.68,
isco08 == 8300 ~ 26.80,
isco08 == 8310 ~ 38.80,
isco08 == 8311 ~ 45.76,
isco08 == 8312 ~ 29.80,
isco08 == 8320 ~ 30.11,
isco08 == 8321 ~ 28.48,
isco08 == 8322 ~ 30.34,
isco08 == 8330 ~ 25.71,
isco08 == 8331 ~ 26.85,
isco08 == 8332 ~ 25.95,
isco08 == 8340 ~ 21.08,
isco08 == 8341 ~ 13.34,
isco08 == 8342 ~ 24.45,
isco08 == 8343 ~ 24.80,
isco08 == 8344 ~ 18.08,
isco08 == 8350 ~ 37.92,
isco08 == 9000 ~ 16.50,
isco08 == 9100 ~ 14.64,
isco08 == 9110 ~ 14.64,
isco08 == 9111 ~ 16.38,
isco08 == 9112 ~ 14.21,
isco08 == 9120 ~ 14.57,
isco08 == 9121 ~ 14.82,
isco08 == 9122 ~ 14.57,
isco08 == 9123 ~ 14.57,
isco08 == 9129 ~ 14.57,
isco08 == 9200 ~ 11.87,
isco08 == 9210 ~ 11.74,
isco08 == 9211 ~ 11.74,
isco08 == 9212 ~ 11.74,
isco08 == 9213 ~ 11.74,
isco08 == 9214 ~ 11.74,
isco08 == 9215 ~ 12.01,
isco08 == 9216 ~ 12.34,
isco08 == 9300 ~ 17.53,
isco08 == 9310 ~ 16.39,
isco08 == 9311 ~ 15.35,
isco08 == 9312 ~ 17.56,
isco08 == 9313 ~ 15.35,
isco08 == 9320 ~ 17.55,
isco08 == 9321 ~ 17.55,
isco08 == 9329 ~ 16.36,
isco08 == 9330 ~ 19.66,
isco08 == 9331 ~ 20.27,
isco08 == 9332 ~ 16.89,
isco08 == 9333 ~ 17.69,
isco08 == 9334 ~ 19.66,
isco08 == 9400 ~ 16.50,
isco08 == 9410 ~ 16.50,
isco08 == 9411 ~ 16.50,
isco08 == 9412 ~ 16.50,
isco08 == 9500 ~ 23.43,
isco08 == 9510 ~ 13.72,
isco08 == 9520 ~ 25.20,
isco08 == 9600 ~ 24.07,
isco08 == 9610 ~ 14.39,
isco08 == 9611 ~ 14.39,
isco08 == 9612 ~ 14.39,
isco08 == 9613 ~ 13.87,
isco08 == 9620 ~ 27.91,
isco08 == 9621 ~ 25.06,
isco08 == 9622 ~ 27.91,
isco08 == 9623 ~ 30.99,
isco08 == 9624 ~ 27.91,
isco08 == 9629 ~ 27.91,
)
)
if (display.nas) display.nas(isei, conv.from="isco08", conv.to='isei08')
return(isei$isei08)
}
## {{{ docs }}}
#' Recode ISCO-08 into ISEI (a.k.a. ISEI-92)
#'
#' The function recodes ISCO-08 into ISEI-92.
#'
#' @param isco88 a numeric vector with the ISCO-08 codes
#' @param display.nas boolean. If true (defaul is \code{FALSE}), displays table with unmatched ISCO-08 codes.
#'
#' @details
#'
#' Ganzeboom, H. B., De Graaf, P. M., & Treiman, D. J., (1992) A standard international socio-economic index of occupational status, Social science research, 21(1), 1–56.
#'
#' @return
#' It returns a vector with ISEI-92 codes.
#'
#' @export
## }}}
isco08toISEI92 <- function(isco08, display.nas=FALSE)
{
msg <- paste0('\n','The function "isco08toISEI92()" first converts ISCO-08 to ISCO-88, and then computes the ISEI-92 using the latter.', '\n'); cat(msg)
isei = tibble::tibble(isco08=isco08)
isei = isei %>% dplyr::mutate(isco88 = isco08to88(isco08, display.nas),
isei92 = isco88toISEI92(isco88, display.nas))
## message already displayed in the covertion above
## if (display.nas) display.nas(isei, conv.from="isco88", conv.to='isei92')
return(isei$isei92)
}
## {{{ docs }}}
#' Recode ISCO-88 into ISEI (a.k.a. ISEI-92)
#'
#' The function recodes ISCO-88 into ISEI-92.
#'
#' @param isco88 a numeric vector with the ISCO-88 codes
#' @param display.nas boolean. If true (defaul is \code{FALSE}), displays table with unmatched ISCO-88 codes.
#'
#' @details
#'
#' Ganzeboom, H. B., De Graaf, P. M., & Treiman, D. J., (1992) A standard international socio-economic index of occupational status, Social science research, 21(1), 1–56.
#'
#' @return
#' It returns a vector with ISEI-92 codes.
#'
#' @export
## }}}
isco88toISEI92 <- function(isco88, display.nas=FALSE)
{
isei = tibble::tibble(isco88=isco88)
isei = isei %>%
dplyr::mutate(isei92 = dplyr::case_when(
isco88 %in% 1 ~ 56,
isco88 %in% 10 ~ 56,
isco88 %in% 100 ~ 56,
isco88 %in% 1000 ~ 56,
isco88 %in% 11 ~ 70,
isco88 %in% 110 ~ 70,
isco88 %in% 1100 ~ 70,
isco88 %in% 111 ~ 77,
isco88 %in% 1110 ~ 77,
isco88 %in% 112 ~ 77,
isco88 %in% 1120 ~ 77,
isco88 %in% 113 ~ 66,
isco88 %in% 1130 ~ 66,
isco88 %in% 114 ~ 58,
isco88 %in% 1140 ~ 58,
isco88 %in% 1141 ~ 58,
isco88 %in% 1142 ~ 58,
isco88 %in% 1143 ~ 58,
isco88 %in% 12 ~ 68,
isco88 %in% 120 ~ 68,
isco88 %in% 1200 ~ 68,
isco88 %in% 121 ~ 70,
isco88 %in% 1210 ~ 70,
isco88 %in% 1212 ~ 70,
isco88 %in% 1213 ~ 70,
isco88 %in% 1214 ~ 70,
isco88 %in% 1215 ~ 70,
isco88 %in% 1216 ~ 70,
isco88 %in% 1217 ~ 70,
isco88 %in% 1218 ~ 70,
isco88 %in% 1219 ~ 70,
isco88 %in% 1210 ~ 70,
isco88 %in% 122 ~ 67,
isco88 %in% 1220 ~ 67,
isco88 %in% 1221 ~ 67,
isco88 %in% 1222 ~ 67,
isco88 %in% 1223 ~ 67,
isco88 %in% 1224 ~ 59,
isco88 %in% 1225 ~ 59,
isco88 %in% 1226 ~ 59,
isco88 %in% 1227 ~ 87,
isco88 %in% 1228 ~ 59,
isco88 %in% 1229 ~ 67,
isco88 %in% 123 ~ 61,
isco88 %in% 1230 ~ 61,
isco88 %in% 1231 ~ 69,
isco88 %in% 1232 ~ 69,
isco88 %in% 1233 ~ 56,
isco88 %in% 1234 ~ 69,
isco88 %in% 1235 ~ 69,
isco88 %in% 1236 ~ 69,
isco88 %in% 1237 ~ 69,
isco88 %in% 1239 ~ 69,
isco88 %in% 124 ~ 58,
isco88 %in% 1240 ~ 58,
isco88 %in% 125 ~ 64,
isco88 %in% 1250 ~ 64,
isco88 %in% 1251 ~ 70,
isco88 %in% 1252 ~ 60,
isco88 %in% 13 ~ 51,
isco88 %in% 130 ~ 51,
isco88 %in% 1300 ~ 51,
isco88 %in% 131 ~ 51,
isco88 %in% 1310 ~ 51,
isco88 %in% 1311 ~ 43,
isco88 %in% 1312 ~ 56,
isco88 %in% 1313 ~ 51,
isco88 %in% 1314 ~ 49,
isco88 %in% 1315 ~ 44,
isco88 %in% 1316 ~ 51,
isco88 %in% 1317 ~ 51,
isco88 %in% 1318 ~ 51,
isco88 %in% 1319 ~ 51,
isco88 %in% 2 ~ 70,
isco88 %in% 20 ~ 70,
isco88 %in% 200 ~ 70,
isco88 %in% 2000 ~ 70,
isco88 %in% 21 ~ 69,
isco88 %in% 210 ~ 69,
isco88 %in% 2100 ~ 69,
isco88 %in% 211 ~ 74,
isco88 %in% 2110 ~ 74,
isco88 %in% 2111 ~ 74,
isco88 %in% 2112 ~ 74,
isco88 %in% 2113 ~ 74,
isco88 %in% 2114 ~ 74,
isco88 %in% 212 ~ 71,
isco88 %in% 2120 ~ 71,
isco88 %in% 2121 ~ 71,
isco88 %in% 2122 ~ 71,
isco88 %in% 213 ~ 71,
isco88 %in% 2130 ~ 71,
isco88 %in% 2131 ~ 71,
isco88 %in% 2132 ~ 71,
isco88 %in% 2139 ~ 71,
isco88 %in% 214 ~ 73,
isco88 %in% 2140 ~ 73,
isco88 %in% 2141 ~ 69,
isco88 %in% 2142 ~ 69,
isco88 %in% 2143 ~ 68,
isco88 %in% 2144 ~ 68,
isco88 %in% 2145 ~ 67,
isco88 %in% 2146 ~ 71,
isco88 %in% 2147 ~ 67,
isco88 %in% 2148 ~ 56,
isco88 %in% 2149 ~ 69,
isco88 %in% 22 ~ 80,
isco88 %in% 220 ~ 80,
isco88 %in% 2200 ~ 80,
isco88 %in% 221 ~ 78,
isco88 %in% 2210 ~ 78,
isco88 %in% 2211 ~ 77,
isco88 %in% 2212 ~ 77,
isco88 %in% 2213 ~ 79,
isco88 %in% 222 ~ 85,
isco88 %in% 2220 ~ 85,
isco88 %in% 2221 ~ 88,
isco88 %in% 2222 ~ 85,
isco88 %in% 2223 ~ 83,
isco88 %in% 2224 ~ 74,
isco88 %in% 2229 ~ 85,
isco88 %in% 223 ~ 43,
isco88 %in% 2230 ~ 43,
isco88 %in% 23 ~ 69,
isco88 %in% 230 ~ 69,
isco88 %in% 2300 ~ 69,
isco88 %in% 231 ~ 77,
isco88 %in% 2310 ~ 77,
isco88 %in% 232 ~ 69,
isco88 %in% 2320 ~ 69,
isco88 %in% 2321 ~ 70,
isco88 %in% 2322 ~ 66,
isco88 %in% 233 ~ 66,
isco88 %in% 2330 ~ 66,
isco88 %in% 2331 ~ 66,
isco88 %in% 2332 ~ 43,
isco88 %in% 234 ~ 66,
isco88 %in% 2340 ~ 66,
isco88 %in% 235 ~ 66,
isco88 %in% 2350 ~ 66,
isco88 %in% 2351 ~ 70,
isco88 %in% 2352 ~ 70,
isco88 %in% 2359 ~ 65,
isco88 %in% 24 ~ 68,
isco88 %in% 240 ~ 68,
isco88 %in% 2400 ~ 68,
isco88 %in% 241 ~ 69,
isco88 %in% 2410 ~ 69,
isco88 %in% 2411 ~ 69,
isco88 %in% 2412 ~ 69,
isco88 %in% 2419 ~ 69,
isco88 %in% 242 ~ 85,
isco88 %in% 2420 ~ 85,
isco88 %in% 2421 ~ 85,
isco88 %in% 2422 ~ 90,
isco88 %in% 2429 ~ 82,
isco88 %in% 243 ~ 65,
isco88 %in% 2430 ~ 65,
isco88 %in% 2431 ~ 65,
isco88 %in% 2432 ~ 65,
isco88 %in% 244 ~ 65,
isco88 %in% 2440 ~ 65,
isco88 %in% 2441 ~ 78,
isco88 %in% 2442 ~ 71,
isco88 %in% 2443 ~ 71,
isco88 %in% 2444 ~ 65,
isco88 %in% 2445 ~ 71,
isco88 %in% 2446 ~ 51,
isco88 %in% 245 ~ 61,
isco88 %in% 2450 ~ 61,
isco88 %in% 2451 ~ 65,
isco88 %in% 2452 ~ 54,
isco88 %in% 2453 ~ 64,
isco88 %in% 2454 ~ 64,
isco88 %in% 2455 ~ 64,
isco88 %in% 246 ~ 53,
isco88 %in% 2460 ~ 53,
isco88 %in% 247 ~ NA_real_,
isco88 %in% 2470 ~ NA_real_,
isco88 %in% 3 ~ 54,
isco88 %in% 30 ~ 54,
isco88 %in% 300 ~ 54,
isco88 %in% 3000 ~ 54,
isco88 %in% 31 ~ 50,
isco88 %in% 310 ~ 50,
isco88 %in% 3100 ~ 50,
isco88 %in% 311 ~ 49,
isco88 %in% 3110 ~ 49,
isco88 %in% 3111 ~ 45,
isco88 %in% 3112 ~ 45,
isco88 %in% 3113 ~ 46,
isco88 %in% 3114 ~ 46,
isco88 %in% 3115 ~ 54,
isco88 %in% 3116 ~ 54,
isco88 %in% 3117 ~ 54,
isco88 %in% 3118 ~ 51,
isco88 %in% 3119 ~ 53,
isco88 %in% 312 ~ 52,
isco88 %in% 3120 ~ 52,
isco88 %in% 3121 ~ 52,
isco88 %in% 3122 ~ 52,
isco88 %in% 3123 ~ 52,
isco88 %in% 313 ~ 52,
isco88 %in% 3130 ~ 52,
isco88 %in% 3131 ~ 48,
isco88 %in% 3132 ~ 57,
isco88 %in% 3133 ~ 57,
isco88 %in% 3139 ~ 52,
isco88 %in% 314 ~ 57,
isco88 %in% 3140 ~ 57,
isco88 %in% 3141 ~ 52,
isco88 %in% 3142 ~ 52,
isco88 %in% 3143 ~ 69,
isco88 %in% 3144 ~ 69,
isco88 %in% 3145 ~ 50,
isco88 %in% 315 ~ 50,
isco88 %in% 3150 ~ 50,
isco88 %in% 3151 ~ 50,
isco88 %in% 3152 ~ 50,
isco88 %in% 32 ~ 48,
isco88 %in% 320 ~ 48,
isco88 %in% 3200 ~ 48,
isco88 %in% 321 ~ 50,
isco88 %in% 3210 ~ 50,
isco88 %in% 3211 ~ 50,
isco88 %in% 3212 ~ 50,
isco88 %in% 3213 ~ 50,
isco88 %in% 322 ~ 55,
isco88 %in% 3220 ~ 55,
isco88 %in% 3221 ~ 51,
isco88 %in% 3222 ~ 51,
isco88 %in% 3223 ~ 51,
isco88 %in% 3224 ~ 60,
isco88 %in% 3225 ~ 51,
isco88 %in% 3226 ~ 60,
isco88 %in% 3227 ~ 51,
isco88 %in% 3228 ~ 51,
isco88 %in% 3229 ~ 51,
isco88 %in% 323 ~ 38,
isco88 %in% 3230 ~ 38,
isco88 %in% 3231 ~ 38,
isco88 %in% 3232 ~ 38,
isco88 %in% 3240 ~ 49,
isco88 %in% 3241 ~ 51,
isco88 %in% 3242 ~ 38,
isco88 %in% 33 ~ 38,
isco88 %in% 330 ~ 38,
isco88 %in% 3300 ~ 38,
isco88 %in% 331 ~ 38,
isco88 %in% 3310 ~ 38,
isco88 %in% 332 ~ 38,
isco88 %in% 3320 ~ 38,
isco88 %in% 333 ~ 38,
isco88 %in% 3330 ~ 38,
isco88 %in% 334 ~ 38,
isco88 %in% 3340 ~ 38,
isco88 %in% 34 ~ 55,
isco88 %in% 340 ~ 55,
isco88 %in% 3400 ~ 55,
isco88 %in% 341 ~ 55,
isco88 %in% 3410 ~ 55,
isco88 %in% 3411 ~ 61,
isco88 %in% 3412 ~ 54,
isco88 %in% 3413 ~ 59,
isco88 %in% 3414 ~ 56,
isco88 %in% 3415 ~ 56,
isco88 %in% 3416 ~ 50,
isco88 %in% 3417 ~ 56,
isco88 %in% 3419 ~ 55,
isco88 %in% 342 ~ 55,
isco88 %in% 3420 ~ 55,
isco88 %in% 3421 ~ 55,
isco88 %in% 3422 ~ 55,
isco88 %in% 3423 ~ 55,
isco88 %in% 3429 ~ 55,
isco88 %in% 343 ~ 54,
isco88 %in% 3430 ~ 54,
isco88 %in% 3431 ~ 54,
isco88 %in% 3432 ~ 59,
isco88 %in% 3433 ~ 51,
isco88 %in% 3434 ~ 61,
isco88 %in% 3439 ~ 54,
isco88 %in% 344 ~ 56,
isco88 %in% 3440 ~ 56,
isco88 %in% 3441 ~ 56,
isco88 %in% 3442 ~ 57,
isco88 %in% 3443 ~ 56,
isco88 %in% 3444 ~ 46,
isco88 %in% 3449 ~ 56,
isco88 %in% 345 ~ 56,
isco88 %in% 3450 ~ 56,
isco88 %in% 3451 ~ 55,
isco88 %in% 3452 ~ 56,
isco88 %in% 346 ~ 43,
isco88 %in% 3460 ~ 43,
isco88 %in% 347 ~ 52,
isco88 %in% 3470 ~ 52,
isco88 %in% 3471 ~ 53,
isco88 %in% 3472 ~ 64,
isco88 %in% 3473 ~ 50,
isco88 %in% 3474 ~ 50,
isco88 %in% 3475 ~ 54,
isco88 %in% 348 ~ 38,
isco88 %in% 3480 ~ 38,
isco88 %in% 4 ~ 45,
isco88 %in% 40 ~ 45,
isco88 %in% 400 ~ 45,
isco88 %in% 4000 ~ 45,
isco88 %in% 41 ~ 45,
isco88 %in% 410 ~ 45,
isco88 %in% 4100 ~ 45,
isco88 %in% 411 ~ 51,
isco88 %in% 4110 ~ 51,
isco88 %in% 4111 ~ 51,
isco88 %in% 4112 ~ 50,
isco88 %in% 4113 ~ 50,
isco88 %in% 4114 ~ 51,
isco88 %in% 4115 ~ 53,
isco88 %in% 412 ~ 51,
isco88 %in% 4120 ~ 51,
isco88 %in% 4121 ~ 51,
isco88 %in% 4122 ~ 51,
isco88 %in% 413 ~ 36,
isco88 %in% 4130 ~ 36,
isco88 %in% 4131 ~ 32,
isco88 %in% 4132 ~ 43,
isco88 %in% 4133 ~ 45,
isco88 %in% 414 ~ 39,
isco88 %in% 4140 ~ 39,
isco88 %in% 4141 ~ 39,
isco88 %in% 4142 ~ 39,
isco88 %in% 4143 ~ 39,
isco88 %in% 4144 ~ 39,
isco88 %in% 419 ~ 39,
isco88 %in% 4190 ~ 39,
isco88 %in% 42 ~ 49,
isco88 %in% 420 ~ 49,
isco88 %in% 4200 ~ 49,
isco88 %in% 421 ~ 48,
isco88 %in% 4210 ~ 48,
isco88 %in% 4211 ~ 53,
isco88 %in% 4212 ~ 46,
isco88 %in% 4213 ~ 40,
isco88 %in% 4214 ~ 40,
isco88 %in% 4215 ~ 40,
isco88 %in% 422 ~ 52,
isco88 %in% 4220 ~ 52,
isco88 %in% 4221 ~ 52,
isco88 %in% 4222 ~ 52,
isco88 %in% 4223 ~ 52,
isco88 %in% 5 ~ 40,
isco88 %in% 50 ~ 40,
isco88 %in% 500 ~ 40,
isco88 %in% 5000 ~ 40,
isco88 %in% 51 ~ 38,
isco88 %in% 510 ~ 38,
isco88 %in% 5100 ~ 38,
isco88 %in% 511 ~ 34,
isco88 %in% 5110 ~ 34,
isco88 %in% 5111 ~ 34,
isco88 %in% 5112 ~ 34,
isco88 %in% 5113 ~ 34,
isco88 %in% 512 ~ 32,
isco88 %in% 5120 ~ 32,
isco88 %in% 5121 ~ 30,
isco88 %in% 5122 ~ 30,
isco88 %in% 5123 ~ 34,
isco88 %in% 513 ~ 25,
isco88 %in% 5130 ~ 25,
isco88 %in% 5131 ~ 25,
isco88 %in% 5132 ~ 25,
isco88 %in% 5133 ~ 25,
isco88 %in% 5139 ~ 25,
isco88 %in% 514 ~ 30,
isco88 %in% 5140 ~ 30,
isco88 %in% 5141 ~ 29,
isco88 %in% 5142 ~ 19,
isco88 %in% 5143 ~ 54,
isco88 %in% 5149 ~ 19,
isco88 %in% 515 ~ 43,
isco88 %in% 5150 ~ 43,
isco88 %in% 5151 ~ 43,
isco88 %in% 5152 ~ 43,
isco88 %in% 516 ~ 47,
isco88 %in% 5160 ~ 47,
isco88 %in% 5161 ~ 42,
isco88 %in% 5162 ~ 50,
isco88 %in% 5163 ~ 40,
isco88 %in% 5164 ~ 40,
isco88 %in% 5169 ~ 40,
isco88 %in% 52 ~ 43,
isco88 %in% 520 ~ 43,
isco88 %in% 5200 ~ 43,
isco88 %in% 521 ~ 43,
isco88 %in% 5210 ~ 43,
isco88 %in% 522 ~ 43,
isco88 %in% 5220 ~ 43,
isco88 %in% 523 ~ 37,
isco88 %in% 5230 ~ 37,
isco88 %in% 6 ~ 23,
isco88 %in% 60 ~ 23,
isco88 %in% 600 ~ 23,
isco88 %in% 6000 ~ 23,
isco88 %in% 61 ~ 23,
isco88 %in% 610 ~ 23,
isco88 %in% 6100 ~ 23,
isco88 %in% 611 ~ 23,
isco88 %in% 6110 ~ 23,
isco88 %in% 6111 ~ 23,
isco88 %in% 6112 ~ 23,
isco88 %in% 6113 ~ 23,
isco88 %in% 6114 ~ 23,
isco88 %in% 612 ~ 23,
isco88 %in% 6120 ~ 23,
isco88 %in% 6121 ~ 23,
isco88 %in% 6122 ~ 23,
isco88 %in% 6123 ~ 23,
isco88 %in% 6124 ~ 23,
isco88 %in% 6129 ~ 23,
isco88 %in% 613 ~ 23,
isco88 %in% 6130 ~ 23,
isco88 %in% 6131 ~ 23,
isco88 %in% 6132 ~ 27,
isco88 %in% 6133 ~ 28,
isco88 %in% 6134 ~ 28,
isco88 %in% 614 ~ 22,
isco88 %in% 6140 ~ 22,
isco88 %in% 6141 ~ 22,
isco88 %in% 6142 ~ 22,
isco88 %in% 615 ~ 28,
isco88 %in% 6150 ~ 28,
isco88 %in% 6151 ~ 28,
isco88 %in% 6152 ~ 28,
isco88 %in% 6153 ~ 28,
isco88 %in% 6154 ~ 28,
isco88 %in% 62 ~ 16,
isco88 %in% 620 ~ 16,
isco88 %in% 6200 ~ 16,
isco88 %in% 621 ~ 16,
isco88 %in% 6210 ~ 16,
isco88 %in% 7 ~ 34,
isco88 %in% 70 ~ 34,
isco88 %in% 700 ~ 34,
isco88 %in% 7000 ~ 34,
isco88 %in% 71 ~ 31,
isco88 %in% 710 ~ 31,
isco88 %in% 7100 ~ 31,
isco88 %in% 711 ~ 30,
isco88 %in% 7110 ~ 30,
isco88 %in% 7111 ~ 30,
isco88 %in% 7112 ~ 30,
isco88 %in% 7113 ~ 27,
isco88 %in% 712 ~ 30,
isco88 %in% 7120 ~ 30,
isco88 %in% 7121 ~ 29,
isco88 %in% 7122 ~ 29,
isco88 %in% 7123 ~ 26,
isco88 %in% 7124 ~ 29,
isco88 %in% 7129 ~ 30,
isco88 %in% 713 ~ 34,
isco88 %in% 7130 ~ 34,
isco88 %in% 7131 ~ 19,
isco88 %in% 7132 ~ 30,
isco88 %in% 7133 ~ 31,
isco88 %in% 7134 ~ 34,
isco88 %in% 7135 ~ 26,
isco88 %in% 7136 ~ 33,
isco88 %in% 7137 ~ 37,
isco88 %in% 7139 ~ NA_real_,
isco88 %in% 714 ~ 29,
isco88 %in% 7140 ~ 29,
isco88 %in% 7141 ~ 29,
isco88 %in% 7142 ~ 32,
isco88 %in% 7143 ~ 29,
isco88 %in% 72 ~ 34,
isco88 %in% 720 ~ 34,
isco88 %in% 7200 ~ 34,
isco88 %in% 721 ~ 31,
isco88 %in% 7210 ~ 31,
isco88 %in% 7211 ~ 29,
isco88 %in% 7212 ~ 30,
isco88 %in% 7213 ~ 33,
isco88 %in% 7214 ~ 30,
isco88 %in% 7215 ~ 30,
isco88 %in% 7216 ~ 30,
isco88 %in% 722 ~ 35,
isco88 %in% 7220 ~ 35,
isco88 %in% 7221 ~ 33,
isco88 %in% 7222 ~ 40,
isco88 %in% 7223 ~ 34,
isco88 %in% 7224 ~ 24,
isco88 %in% 723 ~ 34,
isco88 %in% 7230 ~ 34,
isco88 %in% 7231 ~ 34,
isco88 %in% 7232 ~ 42,
isco88 %in% 7233 ~ 33,
isco88 %in% 7234 ~ 23,
isco88 %in% 724 ~ 40,
isco88 %in% 7240 ~ 40,
isco88 %in% 7241 ~ 40,
isco88 %in% 7242 ~ 39,
isco88 %in% 7243 ~ 41,
isco88 %in% 7244 ~ 40,
isco88 %in% 7245 ~ 38,
isco88 %in% 73 ~ 34,
isco88 %in% 730 ~ 34,
isco88 %in% 7300 ~ 34,
isco88 %in% 731 ~ 38,
isco88 %in% 7310 ~ 38,
isco88 %in% 7311 ~ 38,
isco88 %in% 7312 ~ 38,
isco88 %in% 7313 ~ 38,
isco88 %in% 732 ~ 28,
isco88 %in% 7320 ~ 28,
isco88 %in% 7321 ~ 27,
isco88 %in% 7322 ~ 29,
isco88 %in% 7323 ~ 29,
isco88 %in% 7324 ~ 29,
isco88 %in% 733 ~ 29,
isco88 %in% 7330 ~ 29,
isco88 %in% 7331 ~ 29,
isco88 %in% 7332 ~ 29,
isco88 %in% 734 ~ 40,
isco88 %in% 7340 ~ 40,
isco88 %in% 7341 ~ 40,
isco88 %in% 7342 ~ 40,
isco88 %in% 7343 ~ 42,
isco88 %in% 7344 ~ 40,
isco88 %in% 7345 ~ 37,
isco88 %in% 7346 ~ 38,
isco88 %in% 74 ~ 33,
isco88 %in% 740 ~ 33,
isco88 %in% 7400 ~ 33,
isco88 %in% 741 ~ 30,
isco88 %in% 7410 ~ 30,
isco88 %in% 7411 ~ 30,
isco88 %in% 7412 ~ 31,
isco88 %in% 7413 ~ 30,
isco88 %in% 7414 ~ 30,
isco88 %in% 7415 ~ 30,
isco88 %in% 7416 ~ 30,
isco88 %in% 742 ~ 33,
isco88 %in% 7420 ~ 33,
isco88 %in% 7421 ~ 33,
isco88 %in% 7422 ~ 33,
isco88 %in% 7423 ~ 33,
isco88 %in% 7424 ~ 33,
isco88 %in% 743 ~ 36,
isco88 %in% 7430 ~ 36,
isco88 %in% 7431 ~ 29,
isco88 %in% 7432 ~ 29,
isco88 %in% 7433 ~ 45,
isco88 %in% 7434 ~ 36,
isco88 %in% 7435 ~ 36,
isco88 %in% 7436 ~ 33,
isco88 %in% 7437 ~ 28,
isco88 %in% 744 ~ 31,
isco88 %in% 7440 ~ 31,
isco88 %in% 7441 ~ 31,
isco88 %in% 7442 ~ 31,
isco88 %in% 75 ~ 42,
isco88 %in% 750 ~ 42,
isco88 %in% 7500 ~ 42,
isco88 %in% 751 ~ 42,
isco88 %in% 7510 ~ 42,
isco88 %in% 752 ~ 39,
isco88 %in% 7520 ~ 39,
isco88 %in% 753 ~ 26,
isco88 %in% 7530 ~ 26,
isco88 %in% 8 ~ 31,
isco88 %in% 80 ~ 31,
isco88 %in% 800 ~ 31,
isco88 %in% 8000 ~ 31,
isco88 %in% 81 ~ 30,
isco88 %in% 810 ~ 30,
isco88 %in% 8100 ~ 30,
isco88 %in% 811 ~ 35,
isco88 %in% 8110 ~ 35,
isco88 %in% 8111 ~ 35,
isco88 %in% 8112 ~ 35,
isco88 %in% 8113 ~ 35,
isco88 %in% 812 ~ 30,
isco88 %in% 8120 ~ 30,
isco88 %in% 8121 ~ 31,
isco88 %in% 8122 ~ 30,
isco88 %in% 8123 ~ 28,
isco88 %in% 8124 ~ 30,
isco88 %in% 813 ~ 22,
isco88 %in% 8130 ~ 22,
isco88 %in% 8131 ~ 22,
isco88 %in% 8139 ~ 22,
isco88 %in% 814 ~ 27,
isco88 %in% 8140 ~ 27,
isco88 %in% 8141 ~ 27,
isco88 %in% 8142 ~ 27,
isco88 %in% 8143 ~ 27,
isco88 %in% 815 ~ 35,
isco88 %in% 8150 ~ 35,
isco88 %in% 8151 ~ 35,
isco88 %in% 8152 ~ 35,
isco88 %in% 8153 ~ 35,
isco88 %in% 8154 ~ 35,
isco88 %in% 8155 ~ 35,
isco88 %in% 8159 ~ 35,
isco88 %in% 816 ~ 32,
isco88 %in% 8160 ~ 32,
isco88 %in% 8161 ~ 33,
isco88 %in% 8162 ~ 27,
isco88 %in% 8163 ~ 33,
isco88 %in% 817 ~ 26,
isco88 %in% 8170 ~ 26,
isco88 %in% 8171 ~ 26,
isco88 %in% 8172 ~ 26,
isco88 %in% 82 ~ 32,
isco88 %in% 820 ~ 32,
isco88 %in% 8200 ~ 32,
isco88 %in% 821 ~ 36,
isco88 %in% 8210 ~ 36,
isco88 %in% 8211 ~ 36,
isco88 %in% 8212 ~ 30,
isco88 %in% 822 ~ 30,
isco88 %in% 8220 ~ 30,
isco88 %in% 8221 ~ 30,
isco88 %in% 8222 ~ 30,
isco88 %in% 8223 ~ 30,
isco88 %in% 8224 ~ 30,
isco88 %in% 8229 ~ 30,
isco88 %in% 823 ~ 30,
isco88 %in% 8230 ~ 30,
isco88 %in% 8231 ~ 30,
isco88 %in% 8232 ~ 30,
isco88 %in% 824 ~ 29,
isco88 %in% 8240 ~ 29,
isco88 %in% 825 ~ 38,
isco88 %in% 8250 ~ 38,
isco88 %in% 8251 ~ 38,
isco88 %in% 8252 ~ 38,
isco88 %in% 8253 ~ 38,
isco88 %in% 826 ~ 30,
isco88 %in% 8260 ~ 30,
isco88 %in% 8261 ~ 29,
isco88 %in% 8262 ~ 29,
isco88 %in% 8263 ~ 32,
isco88 %in% 8264 ~ 24,
isco88 %in% 8265 ~ 32,
isco88 %in% 8266 ~ 32,
isco88 %in% 8269 ~ 32,
isco88 %in% 827 ~ 29,
isco88 %in% 8270 ~ 29,
isco88 %in% 8271 ~ 29,
isco88 %in% 8272 ~ 29,
isco88 %in% 8273 ~ 29,
isco88 %in% 8274 ~ 29,
isco88 %in% 8275 ~ 29,
isco88 %in% 8276 ~ 29,
isco88 %in% 8277 ~ 29,
isco88 %in% 8278 ~ 29,
isco88 %in% 8279 ~ 29,
isco88 %in% 828 ~ 31,
isco88 %in% 8280 ~ 31,
isco88 %in% 8281 ~ 30,
isco88 %in% 8282 ~ 34,
isco88 %in% 8283 ~ 34,
isco88 %in% 8284 ~ 30,
isco88 %in% 8285 ~ 30,
isco88 %in% 8286 ~ 30,
isco88 %in% 8287 ~ NA_real_,
isco88 %in% 829 ~ 26,
isco88 %in% 8290 ~ 26,
isco88 %in% 83 ~ 32,
isco88 %in% 830 ~ 32,
isco88 %in% 8300 ~ 32,
isco88 %in% 831 ~ 36,
isco88 %in% 8310 ~ 36,
isco88 %in% 8311 ~ 41,
isco88 %in% 8312 ~ 32,
isco88 %in% 832 ~ 34,
isco88 %in% 8320 ~ 34,
isco88 %in% 8321 ~ 30,
isco88 %in% 8322 ~ 30,
isco88 %in% 8323 ~ 30,
isco88 %in% 8324 ~ 34,
isco88 %in% 833 ~ 26,
isco88 %in% 8330 ~ 26,
isco88 %in% 8331 ~ 26,
isco88 %in% 8332 ~ 26,
isco88 %in% 8333 ~ 28,
isco88 %in% 8334 ~ 28,
isco88 %in% 834 ~ 32,
isco88 %in% 8340 ~ 32,
isco88 %in% 840 ~ 24,
isco88 %in% 8400 ~ 24,
isco88 %in% 9 ~ 20,
isco88 %in% 90 ~ 20,
isco88 %in% 900 ~ 20,
isco88 %in% 9000 ~ 20,
isco88 %in% 91 ~ 25,
isco88 %in% 910 ~ 25,
isco88 %in% 9100 ~ 25,
isco88 %in% 911 ~ 29,
isco88 %in% 9110 ~ 29,
isco88 %in% 9111 ~ 29,
isco88 %in% 9112 ~ 28,
isco88 %in% 9113 ~ 29,
isco88 %in% 912 ~ 28,
isco88 %in% 9120 ~ 28,
isco88 %in% 913 ~ 16,
isco88 %in% 9130 ~ 16,
isco88 %in% 9131 ~ 16,
isco88 %in% 9132 ~ 16,
isco88 %in% 9133 ~ 16,
isco88 %in% 914 ~ 23,
isco88 %in% 9140 ~ 23,
isco88 %in% 9141 ~ 23,
isco88 %in% 9142 ~ 23,
isco88 %in% 915 ~ 27,
isco88 %in% 9150 ~ 27,
isco88 %in% 9151 ~ 25,
isco88 %in% 9152 ~ 27,
isco88 %in% 9153 ~ 27,
isco88 %in% 916 ~ 23,
isco88 %in% 9160 ~ 23,
isco88 %in% 9161 ~ 23,
isco88 %in% 9162 ~ 23,
isco88 %in% 92 ~ 16,
isco88 %in% 920 ~ 16,
isco88 %in% 9200 ~ 16,
isco88 %in% 921 ~ 16,
isco88 %in% 9210 ~ 16,
isco88 %in% 9211 ~ 16,
isco88 %in% 9212 ~ 16,
isco88 %in% 9213 ~ 16,
isco88 %in% 93 ~ 23,
isco88 %in% 930 ~ 23,
isco88 %in% 9300 ~ 23,
isco88 %in% 931 ~ 21,
isco88 %in% 9310 ~ 21,
isco88 %in% 9311 ~ 21,
isco88 %in% 9312 ~ 21,
isco88 %in% 9313 ~ 21,
isco88 %in% 932 ~ 20,
isco88 %in% 9320 ~ 20,
isco88 %in% 9321 ~ 20,
isco88 %in% 9322 ~ 24,
isco88 %in% 933 ~ 29,
isco88 %in% 9330 ~ 29,
isco88 %in% 9331 ~ 22,
isco88 %in% 9332 ~ 22,
isco88 %in% 9333 ~ 30,
)
)
if (display.nas) display.nas(isei, conv.from="isco88", conv.to='isei92')
return(isei$isei92)
}
isco88toISEI08 <- function(isco88, display.nas=FALSE)
{
msg <- paste0('\n','The function "isco88toISEI08()" first converts ISCO-88 to ISCO-08, and then computes the ISEI-08 using the latter.', '\n'); cat(msg)
isei = tibble::tibble(isco08=isco88to08(isco88, TRUE) )
isei = isei %>% dplyr::mutate(isei08 = isco08toISEI08(isco08, TRUE))
## already displayed in the functions above
## if (display.nas) display.nas(isei, conv.from="isco88", conv.to='isei92')
return(isei$isei08)
}
## {{{ docs }}}
#' Compute ESeC
#'
#' This function returns the ESeC (European Socio-economic classification) scheme
#'
#'
#' @param isco88 a vector with the ISCO-88 codes
#' @param employed a vector containing the value 1 whenever the person is employed
#' @param unemployed a vector containing the value 1 whenever the person is unemployed
#' @param self.employed a vector containing the value 1 whenever the person is self-employed
#' @param supervisor a vector containing the value 1 whenever the person is a supervisor
#' @param n.employees a vector containing the number of employees.
#' @param n.classes either one of the following integers: 10 (default), 7 ,6, or 4 indicating the number of categories to be used inthe ESEeC scheme. See details.
#' @param keep.unemployed boolean (default \code{TRUE}) indicating to keep (if \code{TRUE}) or not (if \code{FALSE}) the class of unemployed in the reduced ESeC scheme (with number of classes equal ot 7, 6, or 4). See details.
#' @param isco88.armed.forces.code numeric vector with the code for armed forces. Default is \code{c(0, 10, 100, 110)}
#'
#' @return It returns a list with two elements, the ESec code and its label
#' @details Harrison & Rose, 2006, "(ESeC) User Guide" explains the conceptual derivation of the class scheme. In the page 9-10, they suggest a possible reductions in the number of classes from 10 to 6, 5, or 3. The reduced ESeC class scheme in that case excludes the unemployed, but they state that it can be added if desired. This script by default keep the unemployed class, producing reduced schemes with 7, 6, or 4 categories. To exclude the unemployed, set \code{keep.unemployed=TRUE}
#'
#' @export
## }}}
isco88toESeC <- function(isco88, employed=NULL, unemployed=NULL, self.employed=NULL, supervisor=NULL, n.employees=NULL, n.classes=10, keep.unemployed=TRUE, isco88.armed.forces.code=c(0, 10, 100, 110))
{
## check https://www.iser.essex.ac.uk/archives/esec/user-guide
## check number of categories allowed
## ----------------------------------
if (n.classes %!in% c(10,7,6,4)) {
stop("\n\nNumber of classes allowed to compute ESeC class scheme are 10, 7, 6, or 4.\n\n")
}
## recode armed forces
## -------------------
if (!is.null(isco88.armed.forces.code)) {
isco88[isco88 %in% isco88.armed.forces.code] = 10
}else{
on.exit(cat("\n\nNo code provided for armed forces to compute ESeC in the parameter isco88.armed.forces.code"))
}
## error control
## -------------
if (any(isco88[(!is.na(isco88)) & isco88 != 10] %>% nchar < 4)) {
stop("\n\nPlease, provide isco88 with 4 digits for all cases to compute ESeC . Check isco88 for armed foreces and provide it in the parameter isco88.armed.forces.code! \n\n")
}
if (is.null(employed) | is.null(unemployed) | is.null(self.employed) | is.null(supervisor) | is.null(n.employees)) {
stop("\n\nThe parameters employed, unemployed, self.employed, supervisor, and n.employees must be non-NULL to compute ESeC .\n\n")
}
## reduces isco88 to 3 digits
## --------------------------
isco88 = isco88 %>% stringr::str_replace(string=., pattern=".$", replacement="")
## set indicator variables
## -----------------------
self.employed[self.employed != 1 | is.na(self.employed)] = 0
unemployed [unemployed != 1 | is.na(unemployed) ] = 0
employed [employed != 1 | is.na(employed) ] = 0
supervisor [supervisor != 1 | is.na(supervisor) ] = 0
## Compute employment status categories
## ------------------------------------
status = rep(NA, length(isco88))
status[self.employed == 1 & n.employees > 9] <- 1 #### 1: self-employed 10+ employees
status[self.employed == 1 & n.employees %in% 1:9] <- 2 #### 2: small employers <10
status[self.employed == 1 & n.employees == 0] <- 3 #### 3: self-employed, no employees
status[self.employed != 1 & employed == 1 & supervisor == 1] <- 4 #### 4: supervisors
status[self.employed != 1 & employed == 1 & supervisor != 1] <- 5 #### 5: employee
status[unemployed == 1] <- 6 #### 5: unemployed
## Compute ESeC based on status categories
## ---------------------------------------
## ESeC status categories:
## 1 Large employers, higher grade professional, administrative and managerial occupations /Higher salariat
## 2 Lower grade professionals, administrative and managerial occupations and higher grade technician and supervisory occupations /Lower salariat
## 3 Intermediate occupations /Higher grade white collar workers
## 4 Small employers and self-employed occupations(non-agriculture) /Petit bourgeoisie or independents
## 5 Small employers and self-employed occupations (agriculture) /Petit bourgeoisie or independents (agriculture)
## 6 Lower supervisors and technicians /Higher grade blue collar workers
## 7 Lower services, sales and clerical occupations /Lower grade white collar workers
## 8 Lower technical occupations /Skilled workers
## 9 Routine occupations /semi- and non-skilled workers
## 10 Never worked and long-term unemployed /Unemployed
esec = rep(NA, length(isco88))
## ------------------------------------------
## 1) Self-employed 10+ employees. Defaults to 1
## ------------------------------------------
esec[status == 1] <- 1
esec[status == 1 & isco88 %in% c(344, 345)] <- 2
esec[status == 1 & isco88 %in% c(011, 516)] <- 3
esec[status == 1 & isco88 == 621] <- 5
## ------------------------------------------
## 2) Small employers <10. Defaults to 4
## ------------------------------------------
esec[status == 2] <- 4
esec[status == 2 & isco88 %in% c(010, 110, 111, 114, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 2 & isco88 %in% c(223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 310, 311, 312, 314, 320, 321, 322, 323, 334, 342, 344, 345, 348)] <- 2
esec[status == 2 & isco88 %in% c(011, 516)] <- 3
esec[status == 2 & isco88 %in% c(600, 610, 611, 612, 613, 614, 615, 621, 920, 921)] <- 5
## ------------------------------------------
## 3) Self-employed with no employees. Defaults to 4
## ------------------------------------------
esec[status == 3] <- 4
esec[status == 3 & isco88 %in% c(010, 110, 111, 114, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 3 & isco88 %in% c(223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 310, 311, 312, 314, 320, 321, 322, 323, 334, 342, 344, 345, 348)] <- 2
esec[status == 3 & isco88 %in% c(011,516)] <- 3
esec[status == 3 & isco88 %in% c(600, 610, 611, 612, 613, 614, 615, 621, 920, 921)] <- 5
## ------------------------------------------
## 4) Supervisors. Defaults to 6
## ------------------------------------------
esec[status == 4] <- 6
esec[status == 4 & isco88 %in% c(010, 100, 110, 111, 114, 120, 121, 123, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 4 & isco88 %in% c(011, 122, 130,131, 223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 300, 310, 311, 312, 313, 314, 320, 321, 322, 323, 330, 331, 332, 333, 334, 340,341, 342, 343,
344, 345, 346, 347, 348, 400, 410, 411, 412, 419, 420, 521)] <- 2
esec[status == 4 & isco88 == 621] <- 5
## ------------------------------------------
## 5) Employees
## ------------------------------------------
esec[status == 5 & isco88 %in% c(010, 100,110,111,114,120, 121, 123, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 5 & isco88 %in% c(122,130,131, 223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 310, 311, 312, 314, 320, 321, 322, 323, 334, 342, 344, 345, 348, 521)] <- 2
esec[status == 5 & isco88 %in% c(011, 300, 330, 331, 332, 333, 340, 341, 343, 346, 347, 400, 410, 411, 412, 419, 420)] <- 3
esec[status == 5 & isco88 == 621] <- 5
esec[status == 5 & isco88 %in% c(313, 315, 730,731)] <- 6
esec[status == 5 & isco88 %in% c(413, 421, 422, 500, 510, 511, 513, 514, 516, 520, 522, 911)] <- 7
esec[status == 5 & isco88 %in% c(600, 610, 611, 612, 613, 614, 615, 700, 710, 711, 712, 713, 714, 720, 721, 722, 723, 724, 732, 733, 734, 740, 741, 742, 743, 744, 825, 831, 834)] <- 8
esec[status == 5 & isco88 %in% c(414, 512, 800, 810, 811, 812, 813, 814, 815, 816, 817, 820, 821, 822, 823, 824, 826, 827, 828, 829, 830, 832, 833,900, 910, 912, 913, 914, 915, 916, 920, 921, 930, 931, 932, 933)] <- 9
## ------------------------------------------
## 6) Unemployed
## ------------------------------------------
esec[status == 6] <- 10
## Harrison & Rose, 2006, "(ESeC) User Guide", pg. 9-10
## ----------------------------------------------------
## The 10 class model may be collapsed to 6, 5 or 3 classes. I keep one more for unemployed
##
## - 6-class:
## - classes 1 and 2 = class 1 "the salariat"
## - classes 3 and 6 = "intermediate employee" class 2
## - classes 4 and 5 = class 3 "small employers and self-employed"
## - class 7 becomes class 4;
## - class 8 becomes class 5;
## - class 9 becomes class 6.
##
## - 5-class model:
## - classes 5 and 6 in the sidata class model:
## "lower technical and routine occupations".
##
## - the three class model:
## - classes 1 and 2=salariat;
## - 3, 4, 5 and 6=intermediate;
## - 7, 8 and 9=working class.
##
## - Class 10 may be added as an additional in any of the models,
## if desired.;
## Collapse 7 class
if (n.classes == 7) {
esec[esec %in% 1:2] <- 1
esec[esec %in% c(3,6)] <- 2
esec[esec %in% c(4,5)] <- 3
esec[esec == 7] <- 4
esec[esec == 8] <- 5
esec[esec == 9] <- 6
esec[esec == 10] <- 7
if (!keep.unemployed) {
esec[esec == 7] <- NA
}
}
## Collapse 6 class
if (n.classes == 6) {
esec[esec %in% 1:2] <- 1
esec[esec %in% c(3,6)] <- 2
esec[esec %in% c(4,5)] <- 3
esec[esec == 7] <- 4
esec[esec %in% 8:9] <- 5
esec[esec %in% 10] <- 6
if (!keep.unemployed) {
esec[esec == 6] <- NA
}
}
## Collapse 4 class
if (n.classes == 4) {
esec[esec %in% 1:2] <- 1
esec[esec %in% 3:6] <- 2
esec[esec %in% 7:9] <- 3
esec[esec == 10] <- 4
if (!keep.unemployed) {
esec[esec == 4] <- NA
}
}
esec = set.esec.labels(esec, n.classes=n.classes)
return(esec)
}
set.esec.labels <- function(esec, n.classes=NULL)
{
if (n.classes == 10) {
labels = factor(esec, levels=1:10, labels = c(
'Higher salariat', # 1
'Lower salariat', # 2
'Higher grade white collar workers', # 3
'Petit bourgeoisie', # 4
'Petit bourgeoisie (agriculture)', # 5
'Higher grade blue collar workers', # 6
'Lower grade white collar workers', # 7
'Skilled workers', # 8
'Semi- and non-skilled workers', # 9
'Unemployed' # 10
)) %>% droplevels()
}
if (n.classes == 7) {
labels = factor(esec, levels=1:7, labels = c(
'Salariat', # 1
'Intermediate employee', # 2
'Small/self employers', # 3
'Lower grade white collar workers', # 4
'Skilled workers', # 5
'Semi- and non-skilled workers' , # 6
'Unemployed' # 10
)) %>% droplevels()
}
if (n.classes == 6) {
labels = factor(esec, levels=1:6, labels = c(
'Salariat', # 1
'Intermediate employee', # 2
'Small/self employers', # 3
'Lower grade white collar workers', # 4
'Skilled and semi- and non-skilled workers',# 5
'Unemployed' # 6
)) %>% droplevels()
}
if (n.classes == 4) {
labels = factor(esec, levels=1:4, labels = c('Salariat', 'Intermediate employee/small employers', 'Working class', 'Unemployed')) %>% droplevels()
}
return(labels)
}
DiogoFerrari/occupar documentation built on May 5, 2022, 2 p.m.
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Defines functions set.esec.labels isco88toESeC isco88toISEI08 isco88toISEI92 isco08toISEI92 isco08toISEI08 egp_get_n_classes isco88toEGP
Documented in isco08toISEI08 isco08toISEI92 isco88toEGP isco88toESeC isco88toISEI92
## =====================================================
## Occupation schemes: ISCO, EGP, ESEC, ISEC
## =====================================================
## {{{ Info: general }}}
## Info:
## - http://www.harryganzeboom.nl/ISCO08/qa-isei-08.htm
## - connelly2016review
## - Ganzeboom, Harry B.G.; Treiman, Donald J. (2003). "Three Internationally Standardised Measures for Comparative Research on Occupational Status." Pp. 159-193 in Jürgen H.P. Hoffmeyer-Zlotnik & Christof Wolf (Eds.), Advances in Cross-National Comparison. A European Working Book for Demographic and Socio-Economic Variables. New York: Kluwer Academic Press. Pp. 159-193. (6.1Mb)
## - Ganzeboom, Harry B.G.; Treiman, Donald J. (1996). “Internationally Comparable Measures of Occupational Status for the 1988 International Standard Classification of Occupations”. Social Science Research (25), pp. 201-239. (3.9 Mb)
## - Ganzeboom, Harry B.G.; De Graaf, Paul; Treiman, Donald J.; (with De Leeuw, Jan) (1992). "A Standard International Socio-Economic Index of Occupational Status", Social Science Research (21-1), pp. 1-56. (3.5Mb)
## - Ganzeboom, Harry B.G., Luijkx, Ruud; Treiman, Donald J. (1989). "Intergenerational Class Mobility in Comparative Perspective", Research in Social Stratification and Mobility (8), pp. 3-79.
##
## Schemes are:
## EGP (Erikson, Goldthorpe and Portocarero, 1979)
## ESeC (European Socio-Economic Classification as proposed by Rose and Harrison, 2009)
## ISEC-08 (International Socio-Economic Classes 2008),
## it is a categorization of occupational information coded in the ISCO-08. It gives information on
## status-in-employment into a 13 category social class scheme than contains well-known social class
## schemes as EGP and ESEC as special cases. The ISEC categories are:
## SIOPS (Standard International Occupation Prestige Score)
## - a.k.a Treiman-scale
## ISEI-08 (International Socio-Economic Index of occupational status)
## - continuous hierarchical scale
## - constructed on a database of 198500 men and women with valid education,
## occupation and (personal) incomes derived from the combined 2002-2007 issues of the
## International Social Survey Programme [ISSP].
## - while the aim of the new ISEI was to produce socio-economic status scores for ISCO-08,
## it was in fact calculated on occupations classified in ISCO-88 and then converted to
## ISCO-08 occupations.
##
## Differences:
## - ISEI is empirically constructed, while EGP and ESEC are a-priori constructions
## that are at best validated on empirical data.
## It only uses occupational data (i.e. occupation as classified by ISCO), whereas EGP and ESEC
## heavily use status-in-employment (self-employment and supervision)
## indicators to construct socio-economic classes.
## - Despite the differences ISEI and EGP (and presumably ESEC) are empirically strongly correlated (0.90),
## much more strongly than ISEI and SIOPS. If optimally scaled using a single dimension,
## EGP scores are virtually identical to their ISEI means.
##
## }}}
## {{{ Info EGP 7 }}}
## EGP (Erikson, Goldthorpe and Portocarero, 1979)
## Goldthorpe (1987) created a scheme for British data, which was restricted to the roman numerals and
## contained SEVEN classes:
## 1 I Service class I
## 2 II Service class II
## 3 III Routine non-manual
## 4 IV Self-employed
## 5 V Manual supervisors/Lower grade technicians
## 6 VI Skilled workers
## 7 VII Unskilled workers/Farm labours
## }}}
## {{{ Info EGP 11 }}}
## The scheme was extended into ELEVEN classes (Erikson and Goldthorpe, 1992)
## 1 I Service class I
## 2 II Service class II
## 3 III.a Routine non-manual higher grade
## 4 III.b Routine non-manual lower grade
## 5 IV.a Self-employed with employees
## 6 IV.b Self-employed with no empoyees
## 7 IV.c Self-employed Farmers etc
## 8 V Manual supervisors/Lower grade technicians
## 9 VI Skilled workers
## 10 VII.a Unskilled workers
## 11 VII.b Farm labours
## }}}
## {{{ Info EGP 5 }}}
## Other versions are FIVE classes scheme
## 1 I-III White-collar workers
## 2 IV.a+IV.b Petty bourgeoisie
## 3 IV.c+VII.b Farm workers
## 4 V+VI Skilled workers
## 5 VII.a Non-skilled workers
## }}}
## {{{ Info EGP 3 }}}
## and THREE class scheme
## 1 I-II+IV.a-b Non-manual workers
## 2 IV.c+VII.b Farm workers
## 3 V+VI+VI.a Manual workers
## }}}
## {{{ Info ISEC-08 }}}
## I-a Higher level professionals 1
## I-b Higher level managers and entrepreneurs 2
## II-a Lower level professionals 3
## II-b Lower level managers 4
## III-a Clerical Routine Non-manual Workers 5
## III-b Sales and Service Routine Non-manual Workers 6
## IV-a Small Self-employed with employees 7
## IV-b Small Self-employed without employers 8
## IV-c Small Self-employed in agriculture 9
## V Manual Supervisors 10
## VI Skilled Manual Workers 11
## VII-a Semi- and Unskilled Manual Workers 12
## VII-b Agricultural Labourers 13
## }}}
## ---------------------------------------
## Converting ISCO into Occupation Schemes
## ---------------------------------------
## {{{ docs }}}
#' Recode occupation to EGP class scheme
#'
#' The function creates a factor with the EGP class scheme
#'
#'
#' @param isco88 numeric vector with the isco88 4 digit code.
#' @param n.classes either 11, 7, 5, or 3, indicating the number of EGP classes to use
#' @inheritParams isco88toESeC
#' @param collapse deprecated
#'
#' @details
#' The number of classes to use in the EGP scheme is based on
#' - Connelly, R., Gayle, V., & Lambert, P. S., (2016) A review of occupation-based social classifications for social survey research, Methodological Innovations, v.9, p.1-14.
#'
#' @export
## }}}
isco88toEGP <- function(isco88, n.employees=NULL, self.employed=NULL, collapse=FALSE, n.classes=11)
{
if (n.classes %!in% c(11,7,5,3)) {
stop("\n\nNumber of classes (n.classes) allowed to compute EGP class scheme are 11, 7, 5, 3.\n\n")
}
## Recode ISCO88 to EGP using Ganzebooms' code
egp = rep(NA, length(isco88))
## Code the simple version, based on 4 digit ISCO88 values
## CLASS 1
egp[isco88 %in% c(1000, 2000, 1100, 2100, 1110, 2110, 1120, 2111, 2112,
2113, 2114, 2120, 2121, 1200, 2122, 1210, 2130, 1220, 2131, 1222, 1223,
2140, 1224, 2141, 1225, 2142, 1226, 2143, 1227, 2144, 1228, 2145, 1229,
2146, 1230, 2147, 1231, 1232, 2149, 1233, 2200, 3143, 1234, 2210, 3144,
1235, 2211, 1236, 2212, 1237, 2213, 1239, 2220, 2221, 1250, 2222, 1251,
2223, 2224, 2229, 2310, 2350, 2351, 2352, 2400, 2411, 2420, 2421, 2422,
2429, 2440, 2441, 2442, 2443, 2445)] <- 1 ## CLASS 1
## CLASS 2
egp[isco88 %in% c(3000, 3100, 3110, 3111, 1130, 3112, 1140, 3113, 1141,
3114, 1142, 3115, 5121, 1143, 3116, 3117, 3118, 3119, 2132, 3120, 2139,
3121, 3122, 3123, 3130, 3131, 3132, 3133, 3139, 5150, 3140, 5151, 2148,
3141, 5152, 3142, 3145, 3150, 3151, 3152, 1240, 3200, 3210, 3211, 1252,
3212, 1300, 3213, 1310, 2230, 3220, 2300, 3221, 1312, 3222, 1313, 2320,
3223, 1314, 2321, 3224, 1315, 2322, 3225, 1316, 2323, 3226, 1317, 2330,
3227, 1318, 2331, 3228, 1319, 2332, 3229, 2340, 3240, 2359, 3241, 3242,
2410, 2412, 2419, 3400, 3410, 3411, 2430, 3412, 2431, 3413, 2432, 3414,
3415, 3416, 3417, 3419, 2444, 3420, 3421, 2446, 3422, 2450, 3423, 2451,
3429, 2452, 2453, 3431, 2454, 3432, 2455, 2460, 3434, 3440, 3441, 3442,
3443, 3444, 3449, 3450, 3451, 3470, 3471, 3472, 3473, 3474,
3475)] <- 2 ## CLASS 2
## EGP CLASS 3
egp[isco88 %in% c(4000, 4100, 4122, 9100, 4110, 9110, 4111, 9111, 4112, 9112,
4113, 9113, 4114, 4115, 4120, 4121, 3230, 3231, 3232, 3300, 3310, 3320, 3330,
3340, 3430, 3433, 3439, 3460, 3480)] <- 3
## EGP CLASS 4
egp[isco88 %in% c(5000, 5100, 5110, 5111, 5112, 5113, 5120, 4130, 5131,
4131, 4132, 5133, 4133, 4140, 4141, 4143, 4144, 4190, 4200, 4210, 4211,
4212, 4213, 4214, 4215, 4220, 4221, 5200, 4222, 5210, 4223, 5220, 5230)] <- 4
## CLASSES 5 and 5, see below
## CLASS 7
egp[isco88 %in% c(3452, 7510)] <- 7 ## CLASS 7
## CLASS 8
egp[isco88 %in% c(7000, 7120, 5122, 7124, 7129, 7130, 7132, 5140, 7133, 5141, 7134, 5143, 7136, 8150, 7137,
8151, 7140, 8152, 7141, 8153, 8154, 8155, 5161, 7200, 8159,
5162, 7210, 8160, 7211, 8161, 5164, 7212, 8162, 7213, 8163, 7214, 8170, 7215, 8171, 7216,
8172, 7220, 7221, 7222, 7223, 7224, 7230, 7231, 7232, 7233, 7240, 7241, 7242,
7243, 7244, 7245, 7300, 7310, 7311, 7312, 7313, 7323, 7324, 7340, 7341, 7342, 7343, 7344,
7345, 7346, 7400, 7410, 7411, 7412, 7413, 7414, 7415, 7416, 7420, 7422, 8311,
7423, 7430, 7433, 7434, 7435, 7436, 8332, 7437, 8333, 7440, 7441, 7442, 7500, 7520)] <- 8
## CLASS 9
egp[isco88 %in% c(8000, 9000, 7100, 8100, 7110, 8110, 7111, 8111, 7112, 8112, 7113, 8113, 8120, 9120, 7121,
8121, 9130, 7122, 8122, 9131, 5123, 7123, 8123, 9132, 5130,
8124, 9133, 8130, 9140, 5132, 8131, 9141, 7131, 8139, 9142, 5139, 8140, 9150, 8141, 9151,
8142, 9152, 4142, 5142, 7135, 8143, 9153, 9160, 5149, 9161, 9162, 9200, 7142,
5160, 7143, 5163, 9300, 9310, 5169, 9311, 9312, 9313, 9320, 8200, 9321, 8210, 9322, 8211,
9330, 8212, 9331, 8220, 9332, 8221, 9333, 8222, 8223, 8224, 7234, 8229, 8230,
8231, 8232, 8240, 8250, 8251, 8252, 8253, 8260, 8261, 8262, 7320, 8263, 7321, 8264, 7322,
8265, 8266, 8269, 7330, 8270, 7331, 8271, 7332, 8272, 8273, 8274, 8275, 8276,
8277, 8278, 8279, 8280, 8281, 8282, 8283, 8284, 8285, 8286, 8290, 8300, 7421, 8310, 8312,
7424, 8320, 8321, 7431, 8322, 7432, 8323, 8324, 8330, 8334, 8340, 8400,
7530)] <- 9
## CLASS 10
egp[isco88 %in% c(6000, 6100, 6110, 6111, 6112, 6113, 6114, 6120, 6121, 6122, 6123, 6124, 6129, 6130, 6134,
6140, 6141, 6142, 6150, 6151, 9210, 6152, 9211, 6153, 9212,
6154, 9213, 8331)] <- 10
## CLASS 11
egp[isco88 %in% c(1221, 6131, 6132, 6133, 6200, 6210, 1311)] <- 11
## CLASSES 5 and 6
if (!is.null(self.employed) & !is.null(n.employees)) {
n.employees[is.na(n.employees)] = 0
self.employed[is.na(self.employed)] = 0
## CLASS 5
egp[self.employed == 1 & n.employees > 0 ] = 5
## CLASS 6
egp[self.employed == 1 & n.employees == 0 ] = 6
}
egp = egp_get_n_classes(egp, n.classes)
return(egp)
}
egp_get_n_classes <- function(egp, n.classes)
{
if (n.classes==11) {
egp = factor(egp, levels=1:11, labels=c("I Service class I",
"II Service class II",
"III.a Routine non-manual, higher grade",
"III.b Routine non-manual, lower grade",
"IV.a Self-employed with employees",
"IV.b Self-employed with no empoyees",
"IV.c Self-employed Farmers etc",
"V Manual supervisors/Lower grade technicians",
"VI Skilled workers",
"VII.a Unskilled workers",
"VII.b Farm labours"))
}
if (n.classes==7) {
egp[egp %in% c(1)] = 1
egp[egp %in% c(2)] = 2
egp[egp %in% c(3:4)] = 3
egp[egp %in% c(5:7)] = 4
egp[egp %in% c(8)] = 5
egp[egp %in% c(9)] = 6
egp[egp %in% c(10:11)] = 7
egp = factor(egp, levels=1:7, labels=c("I Service class I",
"II Service class II",
"III Routine non-manual",
## "III.a Routine non-manual, higher grade",
## "III.b Routine non-manual, lower grade",
"IV Self-employed",
## "IV.a Self-employed with employees",
## "IV.b Self-employed with no empoyees",
## "IV.c Self-employed Farmers etc",
"V Manual supervisors/Lower grade technicians",
"VI Skilled workers",
"VII Unskilled workers/Farm labours"
## "VII.a Unskilled workers",
## "VII.b Farm labours"
))
}
if (n.classes==5) {
egp[egp %in% c(1:4)] = 1
egp[egp %in% c(5:6)] = 2
egp[egp %in% c(7, 11)] = 3
egp[egp %in% c(8:9)] = 4
egp[egp %in% c(10)] = 5
egp = factor(egp, levels=1:5, labels=c(
"I-III White-collar workers",
"IV.a+IV.b Petty bourgeoisie",
"IV.c+VII.b Farm workers",
"V+VI Skilled workers",
"VII.a Non-skilled workers"
))
}
if (n.classes==3) {
egp[egp %in% c(1:6)] = 1
egp[egp %in% c(7, 11)] = 2
egp[egp %in% c(8:10)] = 3
egp = factor(egp, levels=1:3, labels=c(
"I-II+IV.a-b Non-manual workers",
"IV.c+VII.b Farm workers",
"V+VI+VI.a Manual workers"
))
}
return(egp)
}
## {{{ docs }}}
#' Recode ISCO-08 into ISEI-08
#'
#' The function recodes ISCO-08 into ISEI-08.
#'
#' @param isco08 a numeric vector with the ISCO-08 codes
#' @param display.nas boolean. If true (defaul is \code{FALSE}), displays table with unmatched ISCO-08 codes.
#'
#' @details
#' The ISEI-08 is an update of the ISEI (or ISEI-92). The funtion converts ISCO-08 to that updated version. References:
#'
#' Ganzeboom, H. B., De Graaf, P. M., & Treiman, D. J., (1992) A standard international socio-economic index of occupational status, Social science research, 21(1), 1–56.
#' Ganzeboom, H. B., (2010) A new international socio-economic index (isei) of occupational status for the international standard classification of occupation 2008 (isco-08) constructed with data from the issp 2002-2007, In , Annual Conference of International Social Survey Programme, Lisbon (pp. )
#'
#' @return
#' It returns a vector with ISEI-08 codes.
#'
#' @export
## }}}
isco08toISEI08 <- function(isco08, display.nas=FALSE)
{
isei = tibble::tibble(isco08=isco08)
isei = isei %>%
dplyr::mutate(isei08 = dplyr::case_when(
isco08 == 0 ~ 51.25,
isco08 == 100 ~ 60.92,
isco08 == 110 ~ 60.92,
isco08 == 200 ~ 51.63,
isco08 == 210 ~ 51.63,
isco08 == 300 ~ 29.18,
isco08 == 310 ~ 29.18,
isco08 == 1000 ~ 65.12,
isco08 == 1100 ~ 71.72,
isco08 == 1110 ~ 74.50,
isco08 == 1111 ~ 68.77,
isco08 == 1112 ~ 78.76,
isco08 == 1113 ~ 64.98,
isco08 == 1114 ~ 71.29,
isco08 == 1120 ~ 70.34,
isco08 == 1200 ~ 72.94,
isco08 == 1210 ~ 72.24,
isco08 == 1211 ~ 73.38,
isco08 == 1212 ~ 74.79,
isco08 == 1213 ~ 70.57,
isco08 == 1219 ~ 68.54,
isco08 == 1220 ~ 73.71,
isco08 == 1221 ~ 71.39,
isco08 == 1222 ~ 75.25,
isco08 == 1223 ~ 81.92,
isco08 == 1300 ~ 65.25,
isco08 == 1310 ~ 49.48,
isco08 == 1311 ~ 49.48,
isco08 == 1312 ~ 49.48,
isco08 == 1320 ~ 61.57,
isco08 == 1321 ~ 65.42,
isco08 == 1322 ~ 61.57,
isco08 == 1323 ~ 59.89,
isco08 == 1324 ~ 58.07,
isco08 == 1330 ~ 78.86,
isco08 == 1340 ~ 65.01,
isco08 == 1341 ~ 65.01,
isco08 == 1342 ~ 65.01,
isco08 == 1343 ~ 65.01,
isco08 == 1344 ~ 65.01,
isco08 == 1345 ~ 65.01,
isco08 == 1346 ~ 65.01,
isco08 == 1349 ~ 65.01,
isco08 == 1400 ~ 51.01,
isco08 == 1410 ~ 43.85,
isco08 == 1411 ~ 43.85,
isco08 == 1412 ~ 43.85,
isco08 == 1420 ~ 51.56,
isco08 == 1430 ~ 51.01,
isco08 == 1431 ~ 51.01,
isco08 == 1439 ~ 51.01,
isco08 == 2000 ~ 76.24,
isco08 == 2100 ~ 79.49,
isco08 == 2110 ~ 84.16,
isco08 == 2111 ~ 84.61,
isco08 == 2112 ~ 84.61,
isco08 == 2113 ~ 83.50,
isco08 == 2114 ~ 86.81,
isco08 == 2120 ~ 81.78,
isco08 == 2130 ~ 80.46,
isco08 == 2131 ~ 80.46,
isco08 == 2132 ~ 78.17,
isco08 == 2133 ~ 80.46,
isco08 == 2140 ~ 79.05,
isco08 == 2141 ~ 79.05,
isco08 == 2142 ~ 81.40,
isco08 == 2143 ~ 79.05,
isco08 == 2144 ~ 77.10,
isco08 == 2145 ~ 82.31,
isco08 == 2146 ~ 79.31,
isco08 == 2149 ~ 78.69,
isco08 == 2150 ~ 80.75,
isco08 == 2151 ~ 80.78,
isco08 == 2152 ~ 80.75,
isco08 == 2153 ~ 80.75,
isco08 == 2160 ~ 79.74,
isco08 == 2161 ~ 79.74,
isco08 == 2162 ~ 79.74,
isco08 == 2163 ~ 79.74,
isco08 == 2164 ~ 79.74,
isco08 == 2165 ~ 72.96,
isco08 == 2166 ~ 79.74,
isco08 == 2200 ~ 76.98,
isco08 == 2210 ~ 88.70,
isco08 == 2211 ~ 88.70,
isco08 == 2212 ~ 81.92,
isco08 == 2220 ~ 68.70,
isco08 == 2221 ~ 68.70,
isco08 == 2222 ~ 68.70,
isco08 == 2230 ~ 76.98,
isco08 == 2240 ~ 76.98,
isco08 == 2250 ~ 84.14,
isco08 == 2260 ~ 75.43,
isco08 == 2261 ~ 88.31,
isco08 == 2262 ~ 81.13,
isco08 == 2263 ~ 75.43,
isco08 == 2264 ~ 67.94,
isco08 == 2265 ~ 65.23,
isco08 == 2266 ~ 75.43,
isco08 == 2267 ~ 75.43,
isco08 == 2269 ~ 75.43,
isco08 == 2300 ~ 75.54,
isco08 == 2310 ~ 85.41,
isco08 == 2320 ~ 72.30,
isco08 == 2330 ~ 82.41,
isco08 == 2340 ~ 71.45,
isco08 == 2341 ~ 76.49,
isco08 == 2342 ~ 58.77,
isco08 == 2350 ~ 68.88,
isco08 == 2351 ~ 77.88,
isco08 == 2352 ~ 70.89,
isco08 == 2353 ~ 68.88,
isco08 == 2354 ~ 68.88,
isco08 == 2355 ~ 68.88,
isco08 == 2356 ~ 68.88,
isco08 == 2359 ~ 66.42,
isco08 == 2400 ~ 73.91,
isco08 == 2410 ~ 75.50,
isco08 == 2411 ~ 76.65,
isco08 == 2412 ~ 75.50,
isco08 == 2413 ~ 75.50,
isco08 == 2420 ~ 70.09,
isco08 == 2421 ~ 70.09,
isco08 == 2422 ~ 72.94,
isco08 == 2423 ~ 68.55,
isco08 == 2424 ~ 70.09,
isco08 == 2430 ~ 73.91,
isco08 == 2431 ~ 73.91,
isco08 == 2432 ~ 73.91,
isco08 == 2433 ~ 73.91,
isco08 == 2434 ~ 73.91,
isco08 == 2500 ~ 75.13,
isco08 == 2510 ~ 74.66,
isco08 == 2511 ~ 74.66,
isco08 == 2512 ~ 74.66,
isco08 == 2513 ~ 74.66,
isco08 == 2514 ~ 74.66,
isco08 == 2519 ~ 74.70,
isco08 == 2520 ~ 75.13,
isco08 == 2521 ~ 75.13,
isco08 == 2522 ~ 75.13,
isco08 == 2523 ~ 75.13,
isco08 == 2529 ~ 75.13,
isco08 == 2600 ~ 75.67,
isco08 == 2610 ~ 85.13,
isco08 == 2611 ~ 86.72,
isco08 == 2612 ~ 88.96,
isco08 == 2619 ~ 81.05,
isco08 == 2620 ~ 71.55,
isco08 == 2621 ~ 77.19,
isco08 == 2622 ~ 70.40,
isco08 == 2630 ~ 77.24,
isco08 == 2631 ~ 80.92,
isco08 == 2632 ~ 83.09,
isco08 == 2633 ~ 83.81,
isco08 == 2634 ~ 85.85,
isco08 == 2635 ~ 70.50,
isco08 == 2636 ~ 71.55,
isco08 == 2640 ~ 72.83,
isco08 == 2641 ~ 72.83,
isco08 == 2642 ~ 72.83,
isco08 == 2643 ~ 80.92,
isco08 == 2650 ~ 63.31,
isco08 == 2651 ~ 61.82,
isco08 == 2652 ~ 64.44,
isco08 == 2653 ~ 61.82,
isco08 == 2654 ~ 63.31,
isco08 == 2655 ~ 70.10,
isco08 == 2656 ~ 54.00,
isco08 == 2659 ~ 37.59,
isco08 == 3000 ~ 56.03,
isco08 == 3100 ~ 52.40,
isco08 == 3110 ~ 53.60,
isco08 == 3111 ~ 55.03,
isco08 == 3112 ~ 59.35,
isco08 == 3113 ~ 51.92,
isco08 == 3114 ~ 56.38,
isco08 == 3115 ~ 53.77,
isco08 == 3116 ~ 59.45,
isco08 == 3117 ~ 62.79,
isco08 == 3118 ~ 50.73,
isco08 == 3119 ~ 51.35,
isco08 == 3120 ~ 38.18,
isco08 == 3121 ~ 37.83,
isco08 == 3122 ~ 40.54,
isco08 == 3123 ~ 37.83,
isco08 == 3130 ~ 33.66,
isco08 == 3131 ~ 46.73,
isco08 == 3132 ~ 37.22,
isco08 == 3133 ~ 33.66,
isco08 == 3134 ~ 33.66,
isco08 == 3135 ~ 33.66,
isco08 == 3139 ~ 31.46,
isco08 == 3140 ~ 54.86,
isco08 == 3141 ~ 54.86,
isco08 == 3142 ~ 58.05,
isco08 == 3143 ~ 54.86,
isco08 == 3150 ~ 63.29,
isco08 == 3151 ~ 56.41,
isco08 == 3152 ~ 52.70,
isco08 == 3153 ~ 73.71,
isco08 == 3154 ~ 69.24,
isco08 == 3155 ~ 67.04,
isco08 == 3200 ~ 55.40,
isco08 == 3210 ~ 54.92,
isco08 == 3211 ~ 57.04,
isco08 == 3212 ~ 57.37,
isco08 == 3213 ~ 48.66,
isco08 == 3214 ~ 54.92,
isco08 == 3220 ~ 56.98,
isco08 == 3221 ~ 56.00,
isco08 == 3222 ~ 51.93,
isco08 == 3230 ~ 51.57,
isco08 == 3240 ~ 24.79,
isco08 == 3250 ~ 53.15,
isco08 == 3251 ~ 47.83,
isco08 == 3252 ~ 53.15,
isco08 == 3253 ~ 53.15,
isco08 == 3254 ~ 59.85,
isco08 == 3255 ~ 53.15,
isco08 == 3256 ~ 44.92,
isco08 == 3257 ~ 57.25,
isco08 == 3258 ~ 53.15,
isco08 == 3259 ~ 61.91,
isco08 == 3300 ~ 57.64,
isco08 == 3310 ~ 57.13,
isco08 == 3311 ~ 72.27,
isco08 == 3312 ~ 59.76,
isco08 == 3313 ~ 55.25,
isco08 == 3314 ~ 69.76,
isco08 == 3315 ~ 57.68,
isco08 == 3320 ~ 57.97,
isco08 == 3321 ~ 60.29,
isco08 == 3322 ~ 57.03,
isco08 == 3323 ~ 56.35,
isco08 == 3324 ~ 61.18,
isco08 == 3330 ~ 56.64,
isco08 == 3331 ~ 54.62,
isco08 == 3332 ~ 56.64,
isco08 == 3333 ~ 60.44,
isco08 == 3334 ~ 62.39,
isco08 == 3339 ~ 59.89,
isco08 == 3340 ~ 57.99,
isco08 == 3341 ~ 62.13,
isco08 == 3342 ~ 57.99,
isco08 == 3343 ~ 54.55,
isco08 == 3344 ~ 57.99,
isco08 == 3350 ~ 61.60,
isco08 == 3351 ~ 65.64,
isco08 == 3352 ~ 67.11,
isco08 == 3353 ~ 54.27,
isco08 == 3354 ~ 59.18,
isco08 == 3355 ~ 63.03,
isco08 == 3359 ~ 64.40,
isco08 == 3400 ~ 52.57,
isco08 == 3410 ~ 54.35,
isco08 == 3411 ~ 57.00,
isco08 == 3412 ~ 52.72,
isco08 == 3413 ~ 54.54,
isco08 == 3420 ~ 50.90,
isco08 == 3421 ~ 50.90,
isco08 == 3422 ~ 50.90,
isco08 == 3423 ~ 50.90,
isco08 == 3430 ~ 50.15,
isco08 == 3431 ~ 50.15,
isco08 == 3432 ~ 57.64,
isco08 == 3433 ~ 50.15,
isco08 == 3434 ~ 50.15,
isco08 == 3435 ~ 50.15,
isco08 == 3500 ~ 60.93,
isco08 == 3510 ~ 62.45,
isco08 == 3511 ~ 61.07,
isco08 == 3512 ~ 62.45,
isco08 == 3513 ~ 62.45,
isco08 == 3514 ~ 62.45,
isco08 == 3520 ~ 56.50,
isco08 == 3521 ~ 56.57,
isco08 == 3522 ~ 56.50,
isco08 == 4000 ~ 43.51,
isco08 == 4100 ~ 43.33,
isco08 == 4110 ~ 43.33,
isco08 == 4120 ~ 44.94,
isco08 == 4130 ~ 44.87,
isco08 == 4131 ~ 48.27,
isco08 == 4132 ~ 40.56,
isco08 == 4200 ~ 41.22,
isco08 == 4210 ~ 43.06,
isco08 == 4211 ~ 48.10,
isco08 == 4212 ~ 48.82,
isco08 == 4213 ~ 50.05,
isco08 == 4214 ~ 50.05,
isco08 == 4220 ~ 39.02,
isco08 == 4221 ~ 49.30,
isco08 == 4222 ~ 39.02,
isco08 == 4223 ~ 38.58,
isco08 == 4224 ~ 39.02,
isco08 == 4225 ~ 39.02,
isco08 == 4226 ~ 39.02,
isco08 == 4227 ~ 39.02,
isco08 == 4229 ~ 39.02,
isco08 == 4300 ~ 44.08,
isco08 == 4310 ~ 50.57,
isco08 == 4311 ~ 50.37,
isco08 == 4312 ~ 57.38,
isco08 == 4313 ~ 50.57,
isco08 == 4320 ~ 36.10,
isco08 == 4321 ~ 32.50,
isco08 == 4322 ~ 41.63,
isco08 == 4323 ~ 41.27,
isco08 == 4400 ~ 42.30,
isco08 == 4410 ~ 42.30,
isco08 == 4411 ~ 42.30,
isco08 == 4412 ~ 27.52,
isco08 == 4413 ~ 51.77,
isco08 == 4414 ~ 54.67,
isco08 == 4415 ~ 42.30,
isco08 == 4416 ~ 42.30,
isco08 == 4419 ~ 44.72,
isco08 == 5000 ~ 29.32,
isco08 == 5100 ~ 27.57,
isco08 == 5110 ~ 45.46,
isco08 == 5111 ~ 46.76,
isco08 == 5112 ~ 38.44,
isco08 == 5113 ~ 47.42,
isco08 == 5120 ~ 24.53,
isco08 == 5130 ~ 25.04,
isco08 == 5131 ~ 25.04,
isco08 == 5132 ~ 25.04,
isco08 == 5140 ~ 31.08,
isco08 == 5141 ~ 31.08,
isco08 == 5142 ~ 31.08,
isco08 == 5150 ~ 25.46,
isco08 == 5151 ~ 25.20,
isco08 == 5152 ~ 32.20,
isco08 == 5153 ~ 21.82,
isco08 == 5160 ~ 30.59,
isco08 == 5161 ~ 32.75,
isco08 == 5162 ~ 24.07,
isco08 == 5163 ~ 34.25,
isco08 == 5164 ~ 30.59,
isco08 == 5165 ~ 30.59,
isco08 == 5169 ~ 32.75,
isco08 == 5200 ~ 29.73,
isco08 == 5210 ~ 26.64,
isco08 == 5211 ~ 28.84,
isco08 == 5212 ~ 23.53,
isco08 == 5220 ~ 29.47,
isco08 == 5221 ~ 35.34,
isco08 == 5222 ~ 44.14,
isco08 == 5223 ~ 28.48,
isco08 == 5230 ~ 30.90,
isco08 == 5240 ~ 39.04,
isco08 == 5241 ~ 39.73,
isco08 == 5242 ~ 39.04,
isco08 == 5243 ~ 39.04,
isco08 == 5244 ~ 38.88,
isco08 == 5245 ~ 39.04,
isco08 == 5246 ~ 39.04,
isco08 == 5249 ~ 39.04,
isco08 == 5300 ~ 25.09,
isco08 == 5310 ~ 24.98,
isco08 == 5311 ~ 24.98,
isco08 == 5312 ~ 24.98,
isco08 == 5320 ~ 26.64,
isco08 == 5321 ~ 26.64,
isco08 == 5322 ~ 21.64,
isco08 == 5329 ~ 26.64,
isco08 == 5400 ~ 36.86,
isco08 == 5410 ~ 36.86,
isco08 == 5411 ~ 46.38,
isco08 == 5412 ~ 51.50,
isco08 == 5413 ~ 48.13,
isco08 == 5414 ~ 23.80,
isco08 == 5419 ~ 33.83,
isco08 == 6000 ~ 19.20,
isco08 == 6100 ~ 19.41,
isco08 == 6110 ~ 16.34,
isco08 == 6111 ~ 11.56,
isco08 == 6112 ~ 18.95,
isco08 == 6113 ~ 20.91,
isco08 == 6114 ~ 12.87,
isco08 == 6120 ~ 22.21,
isco08 == 6121 ~ 21.13,
isco08 == 6122 ~ 19.83,
isco08 == 6123 ~ 28.04,
isco08 == 6129 ~ 28.04,
isco08 == 6130 ~ 17.79,
isco08 == 6200 ~ 18.29,
isco08 == 6210 ~ 19.78,
isco08 == 6220 ~ 16.33,
isco08 == 6221 ~ 17.00,
isco08 == 6222 ~ 13.35,
isco08 == 6223 ~ 20.69,
isco08 == 6224 ~ 11.01,
isco08 == 6300 ~ 11.01,
isco08 == 6310 ~ 11.01,
isco08 == 6320 ~ 11.01,
isco08 == 6330 ~ 11.01,
isco08 == 6340 ~ 11.01,
isco08 == 7000 ~ 28.53,
isco08 == 7100 ~ 25.39,
isco08 == 7110 ~ 25.94,
isco08 == 7111 ~ 33.76,
isco08 == 7112 ~ 22.57,
isco08 == 7113 ~ 23.96,
isco08 == 7114 ~ 21.96,
isco08 == 7115 ~ 26.62,
isco08 == 7119 ~ 26.92,
isco08 == 7120 ~ 25.26,
isco08 == 7121 ~ 22.16,
isco08 == 7122 ~ 22.75,
isco08 == 7123 ~ 18.02,
isco08 == 7124 ~ 27.81,
isco08 == 7125 ~ 24.09,
isco08 == 7126 ~ 29.16,
isco08 == 7127 ~ 25.26,
isco08 == 7130 ~ 23.63,
isco08 == 7131 ~ 22.77,
isco08 == 7132 ~ 24.49,
isco08 == 7133 ~ 30.47,
isco08 == 7200 ~ 29.81,
isco08 == 7210 ~ 27.61,
isco08 == 7211 ~ 28.03,
isco08 == 7212 ~ 28.52,
isco08 == 7213 ~ 25.51,
isco08 == 7214 ~ 26.60,
isco08 == 7215 ~ 28.60,
isco08 == 7220 ~ 29.84,
isco08 == 7221 ~ 25.63,
isco08 == 7222 ~ 33.16,
isco08 == 7223 ~ 28.70,
isco08 == 7224 ~ 33.90,
isco08 == 7230 ~ 31.15,
isco08 == 7231 ~ 30.78,
isco08 == 7232 ~ 47.74,
isco08 == 7233 ~ 31.72,
isco08 == 7234 ~ 31.15,
isco08 == 7300 ~ 31.00,
isco08 == 7310 ~ 30.35,
isco08 == 7311 ~ 35.70,
isco08 == 7312 ~ 35.66,
isco08 == 7313 ~ 28.12,
isco08 == 7314 ~ 24.43,
isco08 == 7315 ~ 25.78,
isco08 == 7316 ~ 30.14,
isco08 == 7317 ~ 28.95,
isco08 == 7318 ~ 28.97,
isco08 == 7319 ~ 30.35,
isco08 == 7320 ~ 31.50,
isco08 == 7321 ~ 35.33,
isco08 == 7322 ~ 30.49,
isco08 == 7323 ~ 28.24,
isco08 == 7400 ~ 37.34,
isco08 == 7410 ~ 36.97,
isco08 == 7411 ~ 36.35,
isco08 == 7412 ~ 36.92,
isco08 == 7413 ~ 39.45,
isco08 == 7420 ~ 41.68,
isco08 == 7421 ~ 43.76,
isco08 == 7422 ~ 36.92,
isco08 == 7500 ~ 23.97,
isco08 == 7510 ~ 23.46,
isco08 == 7511 ~ 20.95,
isco08 == 7512 ~ 23.57,
isco08 == 7513 ~ 27.30,
isco08 == 7514 ~ 22.79,
isco08 == 7515 ~ 34.12,
isco08 == 7516 ~ 26.96,
isco08 == 7520 ~ 23.65,
isco08 == 7521 ~ 21.81,
isco08 == 7522 ~ 25.23,
isco08 == 7523 ~ 20.78,
isco08 == 7530 ~ 22.03,
isco08 == 7531 ~ 23.47,
isco08 == 7532 ~ 24.88,
isco08 == 7533 ~ 21.24,
isco08 == 7534 ~ 22.25,
isco08 == 7535 ~ 28.08,
isco08 == 7536 ~ 18.07,
isco08 == 7540 ~ 43.19,
isco08 == 7541 ~ 27.30,
isco08 == 7542 ~ 27.30,
isco08 == 7543 ~ 43.19,
isco08 == 7544 ~ 55.96,
isco08 == 7549 ~ 43.19,
isco08 == 8000 ~ 25.45,
isco08 == 8100 ~ 23.41,
isco08 == 8110 ~ 31.44,
isco08 == 8111 ~ 35.07,
isco08 == 8112 ~ 25.11,
isco08 == 8113 ~ 35.82,
isco08 == 8114 ~ 26.13,
isco08 == 8120 ~ 25.91,
isco08 == 8121 ~ 30.32,
isco08 == 8122 ~ 22.36,
isco08 == 8130 ~ 29.30,
isco08 == 8131 ~ 29.14,
isco08 == 8132 ~ 31.34,
isco08 == 8140 ~ 25.49,
isco08 == 8141 ~ 23.09,
isco08 == 8142 ~ 24.85,
isco08 == 8143 ~ 32.67,
isco08 == 8150 ~ 16.80,
isco08 == 8151 ~ 17.85,
isco08 == 8152 ~ 18.03,
isco08 == 8153 ~ 13.24,
isco08 == 8154 ~ 16.08,
isco08 == 8155 ~ 20.35,
isco08 == 8156 ~ 20.35,
isco08 == 8157 ~ 16.80,
isco08 == 8159 ~ 21.20,
isco08 == 8160 ~ 18.13,
isco08 == 8170 ~ 22.40,
isco08 == 8171 ~ 27.25,
isco08 == 8172 ~ 19.08,
isco08 == 8180 ~ 24.15,
isco08 == 8181 ~ 21.13,
isco08 == 8182 ~ 23.19,
isco08 == 8183 ~ 24.15,
isco08 == 8189 ~ 24.16,
isco08 == 8200 ~ 24.93,
isco08 == 8210 ~ 24.93,
isco08 == 8211 ~ 27.91,
isco08 == 8212 ~ 23.88,
isco08 == 8219 ~ 24.68,
isco08 == 8300 ~ 26.80,
isco08 == 8310 ~ 38.80,
isco08 == 8311 ~ 45.76,
isco08 == 8312 ~ 29.80,
isco08 == 8320 ~ 30.11,
isco08 == 8321 ~ 28.48,
isco08 == 8322 ~ 30.34,
isco08 == 8330 ~ 25.71,
isco08 == 8331 ~ 26.85,
isco08 == 8332 ~ 25.95,
isco08 == 8340 ~ 21.08,
isco08 == 8341 ~ 13.34,
isco08 == 8342 ~ 24.45,
isco08 == 8343 ~ 24.80,
isco08 == 8344 ~ 18.08,
isco08 == 8350 ~ 37.92,
isco08 == 9000 ~ 16.50,
isco08 == 9100 ~ 14.64,
isco08 == 9110 ~ 14.64,
isco08 == 9111 ~ 16.38,
isco08 == 9112 ~ 14.21,
isco08 == 9120 ~ 14.57,
isco08 == 9121 ~ 14.82,
isco08 == 9122 ~ 14.57,
isco08 == 9123 ~ 14.57,
isco08 == 9129 ~ 14.57,
isco08 == 9200 ~ 11.87,
isco08 == 9210 ~ 11.74,
isco08 == 9211 ~ 11.74,
isco08 == 9212 ~ 11.74,
isco08 == 9213 ~ 11.74,
isco08 == 9214 ~ 11.74,
isco08 == 9215 ~ 12.01,
isco08 == 9216 ~ 12.34,
isco08 == 9300 ~ 17.53,
isco08 == 9310 ~ 16.39,
isco08 == 9311 ~ 15.35,
isco08 == 9312 ~ 17.56,
isco08 == 9313 ~ 15.35,
isco08 == 9320 ~ 17.55,
isco08 == 9321 ~ 17.55,
isco08 == 9329 ~ 16.36,
isco08 == 9330 ~ 19.66,
isco08 == 9331 ~ 20.27,
isco08 == 9332 ~ 16.89,
isco08 == 9333 ~ 17.69,
isco08 == 9334 ~ 19.66,
isco08 == 9400 ~ 16.50,
isco08 == 9410 ~ 16.50,
isco08 == 9411 ~ 16.50,
isco08 == 9412 ~ 16.50,
isco08 == 9500 ~ 23.43,
isco08 == 9510 ~ 13.72,
isco08 == 9520 ~ 25.20,
isco08 == 9600 ~ 24.07,
isco08 == 9610 ~ 14.39,
isco08 == 9611 ~ 14.39,
isco08 == 9612 ~ 14.39,
isco08 == 9613 ~ 13.87,
isco08 == 9620 ~ 27.91,
isco08 == 9621 ~ 25.06,
isco08 == 9622 ~ 27.91,
isco08 == 9623 ~ 30.99,
isco08 == 9624 ~ 27.91,
isco08 == 9629 ~ 27.91,
)
)
if (display.nas) display.nas(isei, conv.from="isco08", conv.to='isei08')
return(isei$isei08)
}
## {{{ docs }}}
#' Recode ISCO-08 into ISEI (a.k.a. ISEI-92)
#'
#' The function recodes ISCO-08 into ISEI-92.
#'
#' @param isco88 a numeric vector with the ISCO-08 codes
#' @param display.nas boolean. If true (defaul is \code{FALSE}), displays table with unmatched ISCO-08 codes.
#'
#' @details
#'
#' Ganzeboom, H. B., De Graaf, P. M., & Treiman, D. J., (1992) A standard international socio-economic index of occupational status, Social science research, 21(1), 1–56.
#'
#' @return
#' It returns a vector with ISEI-92 codes.
#'
#' @export
## }}}
isco08toISEI92 <- function(isco08, display.nas=FALSE)
{
msg <- paste0('\n','The function "isco08toISEI92()" first converts ISCO-08 to ISCO-88, and then computes the ISEI-92 using the latter.', '\n'); cat(msg)
isei = tibble::tibble(isco08=isco08)
isei = isei %>% dplyr::mutate(isco88 = isco08to88(isco08, display.nas),
isei92 = isco88toISEI92(isco88, display.nas))
## message already displayed in the covertion above
## if (display.nas) display.nas(isei, conv.from="isco88", conv.to='isei92')
return(isei$isei92)
}
## {{{ docs }}}
#' Recode ISCO-88 into ISEI (a.k.a. ISEI-92)
#'
#' The function recodes ISCO-88 into ISEI-92.
#'
#' @param isco88 a numeric vector with the ISCO-88 codes
#' @param display.nas boolean. If true (defaul is \code{FALSE}), displays table with unmatched ISCO-88 codes.
#'
#' @details
#'
#' Ganzeboom, H. B., De Graaf, P. M., & Treiman, D. J., (1992) A standard international socio-economic index of occupational status, Social science research, 21(1), 1–56.
#'
#' @return
#' It returns a vector with ISEI-92 codes.
#'
#' @export
## }}}
isco88toISEI92 <- function(isco88, display.nas=FALSE)
{
isei = tibble::tibble(isco88=isco88)
isei = isei %>%
dplyr::mutate(isei92 = dplyr::case_when(
isco88 %in% 1 ~ 56,
isco88 %in% 10 ~ 56,
isco88 %in% 100 ~ 56,
isco88 %in% 1000 ~ 56,
isco88 %in% 11 ~ 70,
isco88 %in% 110 ~ 70,
isco88 %in% 1100 ~ 70,
isco88 %in% 111 ~ 77,
isco88 %in% 1110 ~ 77,
isco88 %in% 112 ~ 77,
isco88 %in% 1120 ~ 77,
isco88 %in% 113 ~ 66,
isco88 %in% 1130 ~ 66,
isco88 %in% 114 ~ 58,
isco88 %in% 1140 ~ 58,
isco88 %in% 1141 ~ 58,
isco88 %in% 1142 ~ 58,
isco88 %in% 1143 ~ 58,
isco88 %in% 12 ~ 68,
isco88 %in% 120 ~ 68,
isco88 %in% 1200 ~ 68,
isco88 %in% 121 ~ 70,
isco88 %in% 1210 ~ 70,
isco88 %in% 1212 ~ 70,
isco88 %in% 1213 ~ 70,
isco88 %in% 1214 ~ 70,
isco88 %in% 1215 ~ 70,
isco88 %in% 1216 ~ 70,
isco88 %in% 1217 ~ 70,
isco88 %in% 1218 ~ 70,
isco88 %in% 1219 ~ 70,
isco88 %in% 1210 ~ 70,
isco88 %in% 122 ~ 67,
isco88 %in% 1220 ~ 67,
isco88 %in% 1221 ~ 67,
isco88 %in% 1222 ~ 67,
isco88 %in% 1223 ~ 67,
isco88 %in% 1224 ~ 59,
isco88 %in% 1225 ~ 59,
isco88 %in% 1226 ~ 59,
isco88 %in% 1227 ~ 87,
isco88 %in% 1228 ~ 59,
isco88 %in% 1229 ~ 67,
isco88 %in% 123 ~ 61,
isco88 %in% 1230 ~ 61,
isco88 %in% 1231 ~ 69,
isco88 %in% 1232 ~ 69,
isco88 %in% 1233 ~ 56,
isco88 %in% 1234 ~ 69,
isco88 %in% 1235 ~ 69,
isco88 %in% 1236 ~ 69,
isco88 %in% 1237 ~ 69,
isco88 %in% 1239 ~ 69,
isco88 %in% 124 ~ 58,
isco88 %in% 1240 ~ 58,
isco88 %in% 125 ~ 64,
isco88 %in% 1250 ~ 64,
isco88 %in% 1251 ~ 70,
isco88 %in% 1252 ~ 60,
isco88 %in% 13 ~ 51,
isco88 %in% 130 ~ 51,
isco88 %in% 1300 ~ 51,
isco88 %in% 131 ~ 51,
isco88 %in% 1310 ~ 51,
isco88 %in% 1311 ~ 43,
isco88 %in% 1312 ~ 56,
isco88 %in% 1313 ~ 51,
isco88 %in% 1314 ~ 49,
isco88 %in% 1315 ~ 44,
isco88 %in% 1316 ~ 51,
isco88 %in% 1317 ~ 51,
isco88 %in% 1318 ~ 51,
isco88 %in% 1319 ~ 51,
isco88 %in% 2 ~ 70,
isco88 %in% 20 ~ 70,
isco88 %in% 200 ~ 70,
isco88 %in% 2000 ~ 70,
isco88 %in% 21 ~ 69,
isco88 %in% 210 ~ 69,
isco88 %in% 2100 ~ 69,
isco88 %in% 211 ~ 74,
isco88 %in% 2110 ~ 74,
isco88 %in% 2111 ~ 74,
isco88 %in% 2112 ~ 74,
isco88 %in% 2113 ~ 74,
isco88 %in% 2114 ~ 74,
isco88 %in% 212 ~ 71,
isco88 %in% 2120 ~ 71,
isco88 %in% 2121 ~ 71,
isco88 %in% 2122 ~ 71,
isco88 %in% 213 ~ 71,
isco88 %in% 2130 ~ 71,
isco88 %in% 2131 ~ 71,
isco88 %in% 2132 ~ 71,
isco88 %in% 2139 ~ 71,
isco88 %in% 214 ~ 73,
isco88 %in% 2140 ~ 73,
isco88 %in% 2141 ~ 69,
isco88 %in% 2142 ~ 69,
isco88 %in% 2143 ~ 68,
isco88 %in% 2144 ~ 68,
isco88 %in% 2145 ~ 67,
isco88 %in% 2146 ~ 71,
isco88 %in% 2147 ~ 67,
isco88 %in% 2148 ~ 56,
isco88 %in% 2149 ~ 69,
isco88 %in% 22 ~ 80,
isco88 %in% 220 ~ 80,
isco88 %in% 2200 ~ 80,
isco88 %in% 221 ~ 78,
isco88 %in% 2210 ~ 78,
isco88 %in% 2211 ~ 77,
isco88 %in% 2212 ~ 77,
isco88 %in% 2213 ~ 79,
isco88 %in% 222 ~ 85,
isco88 %in% 2220 ~ 85,
isco88 %in% 2221 ~ 88,
isco88 %in% 2222 ~ 85,
isco88 %in% 2223 ~ 83,
isco88 %in% 2224 ~ 74,
isco88 %in% 2229 ~ 85,
isco88 %in% 223 ~ 43,
isco88 %in% 2230 ~ 43,
isco88 %in% 23 ~ 69,
isco88 %in% 230 ~ 69,
isco88 %in% 2300 ~ 69,
isco88 %in% 231 ~ 77,
isco88 %in% 2310 ~ 77,
isco88 %in% 232 ~ 69,
isco88 %in% 2320 ~ 69,
isco88 %in% 2321 ~ 70,
isco88 %in% 2322 ~ 66,
isco88 %in% 233 ~ 66,
isco88 %in% 2330 ~ 66,
isco88 %in% 2331 ~ 66,
isco88 %in% 2332 ~ 43,
isco88 %in% 234 ~ 66,
isco88 %in% 2340 ~ 66,
isco88 %in% 235 ~ 66,
isco88 %in% 2350 ~ 66,
isco88 %in% 2351 ~ 70,
isco88 %in% 2352 ~ 70,
isco88 %in% 2359 ~ 65,
isco88 %in% 24 ~ 68,
isco88 %in% 240 ~ 68,
isco88 %in% 2400 ~ 68,
isco88 %in% 241 ~ 69,
isco88 %in% 2410 ~ 69,
isco88 %in% 2411 ~ 69,
isco88 %in% 2412 ~ 69,
isco88 %in% 2419 ~ 69,
isco88 %in% 242 ~ 85,
isco88 %in% 2420 ~ 85,
isco88 %in% 2421 ~ 85,
isco88 %in% 2422 ~ 90,
isco88 %in% 2429 ~ 82,
isco88 %in% 243 ~ 65,
isco88 %in% 2430 ~ 65,
isco88 %in% 2431 ~ 65,
isco88 %in% 2432 ~ 65,
isco88 %in% 244 ~ 65,
isco88 %in% 2440 ~ 65,
isco88 %in% 2441 ~ 78,
isco88 %in% 2442 ~ 71,
isco88 %in% 2443 ~ 71,
isco88 %in% 2444 ~ 65,
isco88 %in% 2445 ~ 71,
isco88 %in% 2446 ~ 51,
isco88 %in% 245 ~ 61,
isco88 %in% 2450 ~ 61,
isco88 %in% 2451 ~ 65,
isco88 %in% 2452 ~ 54,
isco88 %in% 2453 ~ 64,
isco88 %in% 2454 ~ 64,
isco88 %in% 2455 ~ 64,
isco88 %in% 246 ~ 53,
isco88 %in% 2460 ~ 53,
isco88 %in% 247 ~ NA_real_,
isco88 %in% 2470 ~ NA_real_,
isco88 %in% 3 ~ 54,
isco88 %in% 30 ~ 54,
isco88 %in% 300 ~ 54,
isco88 %in% 3000 ~ 54,
isco88 %in% 31 ~ 50,
isco88 %in% 310 ~ 50,
isco88 %in% 3100 ~ 50,
isco88 %in% 311 ~ 49,
isco88 %in% 3110 ~ 49,
isco88 %in% 3111 ~ 45,
isco88 %in% 3112 ~ 45,
isco88 %in% 3113 ~ 46,
isco88 %in% 3114 ~ 46,
isco88 %in% 3115 ~ 54,
isco88 %in% 3116 ~ 54,
isco88 %in% 3117 ~ 54,
isco88 %in% 3118 ~ 51,
isco88 %in% 3119 ~ 53,
isco88 %in% 312 ~ 52,
isco88 %in% 3120 ~ 52,
isco88 %in% 3121 ~ 52,
isco88 %in% 3122 ~ 52,
isco88 %in% 3123 ~ 52,
isco88 %in% 313 ~ 52,
isco88 %in% 3130 ~ 52,
isco88 %in% 3131 ~ 48,
isco88 %in% 3132 ~ 57,
isco88 %in% 3133 ~ 57,
isco88 %in% 3139 ~ 52,
isco88 %in% 314 ~ 57,
isco88 %in% 3140 ~ 57,
isco88 %in% 3141 ~ 52,
isco88 %in% 3142 ~ 52,
isco88 %in% 3143 ~ 69,
isco88 %in% 3144 ~ 69,
isco88 %in% 3145 ~ 50,
isco88 %in% 315 ~ 50,
isco88 %in% 3150 ~ 50,
isco88 %in% 3151 ~ 50,
isco88 %in% 3152 ~ 50,
isco88 %in% 32 ~ 48,
isco88 %in% 320 ~ 48,
isco88 %in% 3200 ~ 48,
isco88 %in% 321 ~ 50,
isco88 %in% 3210 ~ 50,
isco88 %in% 3211 ~ 50,
isco88 %in% 3212 ~ 50,
isco88 %in% 3213 ~ 50,
isco88 %in% 322 ~ 55,
isco88 %in% 3220 ~ 55,
isco88 %in% 3221 ~ 51,
isco88 %in% 3222 ~ 51,
isco88 %in% 3223 ~ 51,
isco88 %in% 3224 ~ 60,
isco88 %in% 3225 ~ 51,
isco88 %in% 3226 ~ 60,
isco88 %in% 3227 ~ 51,
isco88 %in% 3228 ~ 51,
isco88 %in% 3229 ~ 51,
isco88 %in% 323 ~ 38,
isco88 %in% 3230 ~ 38,
isco88 %in% 3231 ~ 38,
isco88 %in% 3232 ~ 38,
isco88 %in% 3240 ~ 49,
isco88 %in% 3241 ~ 51,
isco88 %in% 3242 ~ 38,
isco88 %in% 33 ~ 38,
isco88 %in% 330 ~ 38,
isco88 %in% 3300 ~ 38,
isco88 %in% 331 ~ 38,
isco88 %in% 3310 ~ 38,
isco88 %in% 332 ~ 38,
isco88 %in% 3320 ~ 38,
isco88 %in% 333 ~ 38,
isco88 %in% 3330 ~ 38,
isco88 %in% 334 ~ 38,
isco88 %in% 3340 ~ 38,
isco88 %in% 34 ~ 55,
isco88 %in% 340 ~ 55,
isco88 %in% 3400 ~ 55,
isco88 %in% 341 ~ 55,
isco88 %in% 3410 ~ 55,
isco88 %in% 3411 ~ 61,
isco88 %in% 3412 ~ 54,
isco88 %in% 3413 ~ 59,
isco88 %in% 3414 ~ 56,
isco88 %in% 3415 ~ 56,
isco88 %in% 3416 ~ 50,
isco88 %in% 3417 ~ 56,
isco88 %in% 3419 ~ 55,
isco88 %in% 342 ~ 55,
isco88 %in% 3420 ~ 55,
isco88 %in% 3421 ~ 55,
isco88 %in% 3422 ~ 55,
isco88 %in% 3423 ~ 55,
isco88 %in% 3429 ~ 55,
isco88 %in% 343 ~ 54,
isco88 %in% 3430 ~ 54,
isco88 %in% 3431 ~ 54,
isco88 %in% 3432 ~ 59,
isco88 %in% 3433 ~ 51,
isco88 %in% 3434 ~ 61,
isco88 %in% 3439 ~ 54,
isco88 %in% 344 ~ 56,
isco88 %in% 3440 ~ 56,
isco88 %in% 3441 ~ 56,
isco88 %in% 3442 ~ 57,
isco88 %in% 3443 ~ 56,
isco88 %in% 3444 ~ 46,
isco88 %in% 3449 ~ 56,
isco88 %in% 345 ~ 56,
isco88 %in% 3450 ~ 56,
isco88 %in% 3451 ~ 55,
isco88 %in% 3452 ~ 56,
isco88 %in% 346 ~ 43,
isco88 %in% 3460 ~ 43,
isco88 %in% 347 ~ 52,
isco88 %in% 3470 ~ 52,
isco88 %in% 3471 ~ 53,
isco88 %in% 3472 ~ 64,
isco88 %in% 3473 ~ 50,
isco88 %in% 3474 ~ 50,
isco88 %in% 3475 ~ 54,
isco88 %in% 348 ~ 38,
isco88 %in% 3480 ~ 38,
isco88 %in% 4 ~ 45,
isco88 %in% 40 ~ 45,
isco88 %in% 400 ~ 45,
isco88 %in% 4000 ~ 45,
isco88 %in% 41 ~ 45,
isco88 %in% 410 ~ 45,
isco88 %in% 4100 ~ 45,
isco88 %in% 411 ~ 51,
isco88 %in% 4110 ~ 51,
isco88 %in% 4111 ~ 51,
isco88 %in% 4112 ~ 50,
isco88 %in% 4113 ~ 50,
isco88 %in% 4114 ~ 51,
isco88 %in% 4115 ~ 53,
isco88 %in% 412 ~ 51,
isco88 %in% 4120 ~ 51,
isco88 %in% 4121 ~ 51,
isco88 %in% 4122 ~ 51,
isco88 %in% 413 ~ 36,
isco88 %in% 4130 ~ 36,
isco88 %in% 4131 ~ 32,
isco88 %in% 4132 ~ 43,
isco88 %in% 4133 ~ 45,
isco88 %in% 414 ~ 39,
isco88 %in% 4140 ~ 39,
isco88 %in% 4141 ~ 39,
isco88 %in% 4142 ~ 39,
isco88 %in% 4143 ~ 39,
isco88 %in% 4144 ~ 39,
isco88 %in% 419 ~ 39,
isco88 %in% 4190 ~ 39,
isco88 %in% 42 ~ 49,
isco88 %in% 420 ~ 49,
isco88 %in% 4200 ~ 49,
isco88 %in% 421 ~ 48,
isco88 %in% 4210 ~ 48,
isco88 %in% 4211 ~ 53,
isco88 %in% 4212 ~ 46,
isco88 %in% 4213 ~ 40,
isco88 %in% 4214 ~ 40,
isco88 %in% 4215 ~ 40,
isco88 %in% 422 ~ 52,
isco88 %in% 4220 ~ 52,
isco88 %in% 4221 ~ 52,
isco88 %in% 4222 ~ 52,
isco88 %in% 4223 ~ 52,
isco88 %in% 5 ~ 40,
isco88 %in% 50 ~ 40,
isco88 %in% 500 ~ 40,
isco88 %in% 5000 ~ 40,
isco88 %in% 51 ~ 38,
isco88 %in% 510 ~ 38,
isco88 %in% 5100 ~ 38,
isco88 %in% 511 ~ 34,
isco88 %in% 5110 ~ 34,
isco88 %in% 5111 ~ 34,
isco88 %in% 5112 ~ 34,
isco88 %in% 5113 ~ 34,
isco88 %in% 512 ~ 32,
isco88 %in% 5120 ~ 32,
isco88 %in% 5121 ~ 30,
isco88 %in% 5122 ~ 30,
isco88 %in% 5123 ~ 34,
isco88 %in% 513 ~ 25,
isco88 %in% 5130 ~ 25,
isco88 %in% 5131 ~ 25,
isco88 %in% 5132 ~ 25,
isco88 %in% 5133 ~ 25,
isco88 %in% 5139 ~ 25,
isco88 %in% 514 ~ 30,
isco88 %in% 5140 ~ 30,
isco88 %in% 5141 ~ 29,
isco88 %in% 5142 ~ 19,
isco88 %in% 5143 ~ 54,
isco88 %in% 5149 ~ 19,
isco88 %in% 515 ~ 43,
isco88 %in% 5150 ~ 43,
isco88 %in% 5151 ~ 43,
isco88 %in% 5152 ~ 43,
isco88 %in% 516 ~ 47,
isco88 %in% 5160 ~ 47,
isco88 %in% 5161 ~ 42,
isco88 %in% 5162 ~ 50,
isco88 %in% 5163 ~ 40,
isco88 %in% 5164 ~ 40,
isco88 %in% 5169 ~ 40,
isco88 %in% 52 ~ 43,
isco88 %in% 520 ~ 43,
isco88 %in% 5200 ~ 43,
isco88 %in% 521 ~ 43,
isco88 %in% 5210 ~ 43,
isco88 %in% 522 ~ 43,
isco88 %in% 5220 ~ 43,
isco88 %in% 523 ~ 37,
isco88 %in% 5230 ~ 37,
isco88 %in% 6 ~ 23,
isco88 %in% 60 ~ 23,
isco88 %in% 600 ~ 23,
isco88 %in% 6000 ~ 23,
isco88 %in% 61 ~ 23,
isco88 %in% 610 ~ 23,
isco88 %in% 6100 ~ 23,
isco88 %in% 611 ~ 23,
isco88 %in% 6110 ~ 23,
isco88 %in% 6111 ~ 23,
isco88 %in% 6112 ~ 23,
isco88 %in% 6113 ~ 23,
isco88 %in% 6114 ~ 23,
isco88 %in% 612 ~ 23,
isco88 %in% 6120 ~ 23,
isco88 %in% 6121 ~ 23,
isco88 %in% 6122 ~ 23,
isco88 %in% 6123 ~ 23,
isco88 %in% 6124 ~ 23,
isco88 %in% 6129 ~ 23,
isco88 %in% 613 ~ 23,
isco88 %in% 6130 ~ 23,
isco88 %in% 6131 ~ 23,
isco88 %in% 6132 ~ 27,
isco88 %in% 6133 ~ 28,
isco88 %in% 6134 ~ 28,
isco88 %in% 614 ~ 22,
isco88 %in% 6140 ~ 22,
isco88 %in% 6141 ~ 22,
isco88 %in% 6142 ~ 22,
isco88 %in% 615 ~ 28,
isco88 %in% 6150 ~ 28,
isco88 %in% 6151 ~ 28,
isco88 %in% 6152 ~ 28,
isco88 %in% 6153 ~ 28,
isco88 %in% 6154 ~ 28,
isco88 %in% 62 ~ 16,
isco88 %in% 620 ~ 16,
isco88 %in% 6200 ~ 16,
isco88 %in% 621 ~ 16,
isco88 %in% 6210 ~ 16,
isco88 %in% 7 ~ 34,
isco88 %in% 70 ~ 34,
isco88 %in% 700 ~ 34,
isco88 %in% 7000 ~ 34,
isco88 %in% 71 ~ 31,
isco88 %in% 710 ~ 31,
isco88 %in% 7100 ~ 31,
isco88 %in% 711 ~ 30,
isco88 %in% 7110 ~ 30,
isco88 %in% 7111 ~ 30,
isco88 %in% 7112 ~ 30,
isco88 %in% 7113 ~ 27,
isco88 %in% 712 ~ 30,
isco88 %in% 7120 ~ 30,
isco88 %in% 7121 ~ 29,
isco88 %in% 7122 ~ 29,
isco88 %in% 7123 ~ 26,
isco88 %in% 7124 ~ 29,
isco88 %in% 7129 ~ 30,
isco88 %in% 713 ~ 34,
isco88 %in% 7130 ~ 34,
isco88 %in% 7131 ~ 19,
isco88 %in% 7132 ~ 30,
isco88 %in% 7133 ~ 31,
isco88 %in% 7134 ~ 34,
isco88 %in% 7135 ~ 26,
isco88 %in% 7136 ~ 33,
isco88 %in% 7137 ~ 37,
isco88 %in% 7139 ~ NA_real_,
isco88 %in% 714 ~ 29,
isco88 %in% 7140 ~ 29,
isco88 %in% 7141 ~ 29,
isco88 %in% 7142 ~ 32,
isco88 %in% 7143 ~ 29,
isco88 %in% 72 ~ 34,
isco88 %in% 720 ~ 34,
isco88 %in% 7200 ~ 34,
isco88 %in% 721 ~ 31,
isco88 %in% 7210 ~ 31,
isco88 %in% 7211 ~ 29,
isco88 %in% 7212 ~ 30,
isco88 %in% 7213 ~ 33,
isco88 %in% 7214 ~ 30,
isco88 %in% 7215 ~ 30,
isco88 %in% 7216 ~ 30,
isco88 %in% 722 ~ 35,
isco88 %in% 7220 ~ 35,
isco88 %in% 7221 ~ 33,
isco88 %in% 7222 ~ 40,
isco88 %in% 7223 ~ 34,
isco88 %in% 7224 ~ 24,
isco88 %in% 723 ~ 34,
isco88 %in% 7230 ~ 34,
isco88 %in% 7231 ~ 34,
isco88 %in% 7232 ~ 42,
isco88 %in% 7233 ~ 33,
isco88 %in% 7234 ~ 23,
isco88 %in% 724 ~ 40,
isco88 %in% 7240 ~ 40,
isco88 %in% 7241 ~ 40,
isco88 %in% 7242 ~ 39,
isco88 %in% 7243 ~ 41,
isco88 %in% 7244 ~ 40,
isco88 %in% 7245 ~ 38,
isco88 %in% 73 ~ 34,
isco88 %in% 730 ~ 34,
isco88 %in% 7300 ~ 34,
isco88 %in% 731 ~ 38,
isco88 %in% 7310 ~ 38,
isco88 %in% 7311 ~ 38,
isco88 %in% 7312 ~ 38,
isco88 %in% 7313 ~ 38,
isco88 %in% 732 ~ 28,
isco88 %in% 7320 ~ 28,
isco88 %in% 7321 ~ 27,
isco88 %in% 7322 ~ 29,
isco88 %in% 7323 ~ 29,
isco88 %in% 7324 ~ 29,
isco88 %in% 733 ~ 29,
isco88 %in% 7330 ~ 29,
isco88 %in% 7331 ~ 29,
isco88 %in% 7332 ~ 29,
isco88 %in% 734 ~ 40,
isco88 %in% 7340 ~ 40,
isco88 %in% 7341 ~ 40,
isco88 %in% 7342 ~ 40,
isco88 %in% 7343 ~ 42,
isco88 %in% 7344 ~ 40,
isco88 %in% 7345 ~ 37,
isco88 %in% 7346 ~ 38,
isco88 %in% 74 ~ 33,
isco88 %in% 740 ~ 33,
isco88 %in% 7400 ~ 33,
isco88 %in% 741 ~ 30,
isco88 %in% 7410 ~ 30,
isco88 %in% 7411 ~ 30,
isco88 %in% 7412 ~ 31,
isco88 %in% 7413 ~ 30,
isco88 %in% 7414 ~ 30,
isco88 %in% 7415 ~ 30,
isco88 %in% 7416 ~ 30,
isco88 %in% 742 ~ 33,
isco88 %in% 7420 ~ 33,
isco88 %in% 7421 ~ 33,
isco88 %in% 7422 ~ 33,
isco88 %in% 7423 ~ 33,
isco88 %in% 7424 ~ 33,
isco88 %in% 743 ~ 36,
isco88 %in% 7430 ~ 36,
isco88 %in% 7431 ~ 29,
isco88 %in% 7432 ~ 29,
isco88 %in% 7433 ~ 45,
isco88 %in% 7434 ~ 36,
isco88 %in% 7435 ~ 36,
isco88 %in% 7436 ~ 33,
isco88 %in% 7437 ~ 28,
isco88 %in% 744 ~ 31,
isco88 %in% 7440 ~ 31,
isco88 %in% 7441 ~ 31,
isco88 %in% 7442 ~ 31,
isco88 %in% 75 ~ 42,
isco88 %in% 750 ~ 42,
isco88 %in% 7500 ~ 42,
isco88 %in% 751 ~ 42,
isco88 %in% 7510 ~ 42,
isco88 %in% 752 ~ 39,
isco88 %in% 7520 ~ 39,
isco88 %in% 753 ~ 26,
isco88 %in% 7530 ~ 26,
isco88 %in% 8 ~ 31,
isco88 %in% 80 ~ 31,
isco88 %in% 800 ~ 31,
isco88 %in% 8000 ~ 31,
isco88 %in% 81 ~ 30,
isco88 %in% 810 ~ 30,
isco88 %in% 8100 ~ 30,
isco88 %in% 811 ~ 35,
isco88 %in% 8110 ~ 35,
isco88 %in% 8111 ~ 35,
isco88 %in% 8112 ~ 35,
isco88 %in% 8113 ~ 35,
isco88 %in% 812 ~ 30,
isco88 %in% 8120 ~ 30,
isco88 %in% 8121 ~ 31,
isco88 %in% 8122 ~ 30,
isco88 %in% 8123 ~ 28,
isco88 %in% 8124 ~ 30,
isco88 %in% 813 ~ 22,
isco88 %in% 8130 ~ 22,
isco88 %in% 8131 ~ 22,
isco88 %in% 8139 ~ 22,
isco88 %in% 814 ~ 27,
isco88 %in% 8140 ~ 27,
isco88 %in% 8141 ~ 27,
isco88 %in% 8142 ~ 27,
isco88 %in% 8143 ~ 27,
isco88 %in% 815 ~ 35,
isco88 %in% 8150 ~ 35,
isco88 %in% 8151 ~ 35,
isco88 %in% 8152 ~ 35,
isco88 %in% 8153 ~ 35,
isco88 %in% 8154 ~ 35,
isco88 %in% 8155 ~ 35,
isco88 %in% 8159 ~ 35,
isco88 %in% 816 ~ 32,
isco88 %in% 8160 ~ 32,
isco88 %in% 8161 ~ 33,
isco88 %in% 8162 ~ 27,
isco88 %in% 8163 ~ 33,
isco88 %in% 817 ~ 26,
isco88 %in% 8170 ~ 26,
isco88 %in% 8171 ~ 26,
isco88 %in% 8172 ~ 26,
isco88 %in% 82 ~ 32,
isco88 %in% 820 ~ 32,
isco88 %in% 8200 ~ 32,
isco88 %in% 821 ~ 36,
isco88 %in% 8210 ~ 36,
isco88 %in% 8211 ~ 36,
isco88 %in% 8212 ~ 30,
isco88 %in% 822 ~ 30,
isco88 %in% 8220 ~ 30,
isco88 %in% 8221 ~ 30,
isco88 %in% 8222 ~ 30,
isco88 %in% 8223 ~ 30,
isco88 %in% 8224 ~ 30,
isco88 %in% 8229 ~ 30,
isco88 %in% 823 ~ 30,
isco88 %in% 8230 ~ 30,
isco88 %in% 8231 ~ 30,
isco88 %in% 8232 ~ 30,
isco88 %in% 824 ~ 29,
isco88 %in% 8240 ~ 29,
isco88 %in% 825 ~ 38,
isco88 %in% 8250 ~ 38,
isco88 %in% 8251 ~ 38,
isco88 %in% 8252 ~ 38,
isco88 %in% 8253 ~ 38,
isco88 %in% 826 ~ 30,
isco88 %in% 8260 ~ 30,
isco88 %in% 8261 ~ 29,
isco88 %in% 8262 ~ 29,
isco88 %in% 8263 ~ 32,
isco88 %in% 8264 ~ 24,
isco88 %in% 8265 ~ 32,
isco88 %in% 8266 ~ 32,
isco88 %in% 8269 ~ 32,
isco88 %in% 827 ~ 29,
isco88 %in% 8270 ~ 29,
isco88 %in% 8271 ~ 29,
isco88 %in% 8272 ~ 29,
isco88 %in% 8273 ~ 29,
isco88 %in% 8274 ~ 29,
isco88 %in% 8275 ~ 29,
isco88 %in% 8276 ~ 29,
isco88 %in% 8277 ~ 29,
isco88 %in% 8278 ~ 29,
isco88 %in% 8279 ~ 29,
isco88 %in% 828 ~ 31,
isco88 %in% 8280 ~ 31,
isco88 %in% 8281 ~ 30,
isco88 %in% 8282 ~ 34,
isco88 %in% 8283 ~ 34,
isco88 %in% 8284 ~ 30,
isco88 %in% 8285 ~ 30,
isco88 %in% 8286 ~ 30,
isco88 %in% 8287 ~ NA_real_,
isco88 %in% 829 ~ 26,
isco88 %in% 8290 ~ 26,
isco88 %in% 83 ~ 32,
isco88 %in% 830 ~ 32,
isco88 %in% 8300 ~ 32,
isco88 %in% 831 ~ 36,
isco88 %in% 8310 ~ 36,
isco88 %in% 8311 ~ 41,
isco88 %in% 8312 ~ 32,
isco88 %in% 832 ~ 34,
isco88 %in% 8320 ~ 34,
isco88 %in% 8321 ~ 30,
isco88 %in% 8322 ~ 30,
isco88 %in% 8323 ~ 30,
isco88 %in% 8324 ~ 34,
isco88 %in% 833 ~ 26,
isco88 %in% 8330 ~ 26,
isco88 %in% 8331 ~ 26,
isco88 %in% 8332 ~ 26,
isco88 %in% 8333 ~ 28,
isco88 %in% 8334 ~ 28,
isco88 %in% 834 ~ 32,
isco88 %in% 8340 ~ 32,
isco88 %in% 840 ~ 24,
isco88 %in% 8400 ~ 24,
isco88 %in% 9 ~ 20,
isco88 %in% 90 ~ 20,
isco88 %in% 900 ~ 20,
isco88 %in% 9000 ~ 20,
isco88 %in% 91 ~ 25,
isco88 %in% 910 ~ 25,
isco88 %in% 9100 ~ 25,
isco88 %in% 911 ~ 29,
isco88 %in% 9110 ~ 29,
isco88 %in% 9111 ~ 29,
isco88 %in% 9112 ~ 28,
isco88 %in% 9113 ~ 29,
isco88 %in% 912 ~ 28,
isco88 %in% 9120 ~ 28,
isco88 %in% 913 ~ 16,
isco88 %in% 9130 ~ 16,
isco88 %in% 9131 ~ 16,
isco88 %in% 9132 ~ 16,
isco88 %in% 9133 ~ 16,
isco88 %in% 914 ~ 23,
isco88 %in% 9140 ~ 23,
isco88 %in% 9141 ~ 23,
isco88 %in% 9142 ~ 23,
isco88 %in% 915 ~ 27,
isco88 %in% 9150 ~ 27,
isco88 %in% 9151 ~ 25,
isco88 %in% 9152 ~ 27,
isco88 %in% 9153 ~ 27,
isco88 %in% 916 ~ 23,
isco88 %in% 9160 ~ 23,
isco88 %in% 9161 ~ 23,
isco88 %in% 9162 ~ 23,
isco88 %in% 92 ~ 16,
isco88 %in% 920 ~ 16,
isco88 %in% 9200 ~ 16,
isco88 %in% 921 ~ 16,
isco88 %in% 9210 ~ 16,
isco88 %in% 9211 ~ 16,
isco88 %in% 9212 ~ 16,
isco88 %in% 9213 ~ 16,
isco88 %in% 93 ~ 23,
isco88 %in% 930 ~ 23,
isco88 %in% 9300 ~ 23,
isco88 %in% 931 ~ 21,
isco88 %in% 9310 ~ 21,
isco88 %in% 9311 ~ 21,
isco88 %in% 9312 ~ 21,
isco88 %in% 9313 ~ 21,
isco88 %in% 932 ~ 20,
isco88 %in% 9320 ~ 20,
isco88 %in% 9321 ~ 20,
isco88 %in% 9322 ~ 24,
isco88 %in% 933 ~ 29,
isco88 %in% 9330 ~ 29,
isco88 %in% 9331 ~ 22,
isco88 %in% 9332 ~ 22,
isco88 %in% 9333 ~ 30,
)
)
if (display.nas) display.nas(isei, conv.from="isco88", conv.to='isei92')
return(isei$isei92)
}
isco88toISEI08 <- function(isco88, display.nas=FALSE)
{
msg <- paste0('\n','The function "isco88toISEI08()" first converts ISCO-88 to ISCO-08, and then computes the ISEI-08 using the latter.', '\n'); cat(msg)
isei = tibble::tibble(isco08=isco88to08(isco88, TRUE) )
isei = isei %>% dplyr::mutate(isei08 = isco08toISEI08(isco08, TRUE))
## already displayed in the functions above
## if (display.nas) display.nas(isei, conv.from="isco88", conv.to='isei92')
return(isei$isei08)
}
## {{{ docs }}}
#' Compute ESeC
#'
#' This function returns the ESeC (European Socio-economic classification) scheme
#'
#'
#' @param isco88 a vector with the ISCO-88 codes
#' @param employed a vector containing the value 1 whenever the person is employed
#' @param unemployed a vector containing the value 1 whenever the person is unemployed
#' @param self.employed a vector containing the value 1 whenever the person is self-employed
#' @param supervisor a vector containing the value 1 whenever the person is a supervisor
#' @param n.employees a vector containing the number of employees.
#' @param n.classes either one of the following integers: 10 (default), 7 ,6, or 4 indicating the number of categories to be used inthe ESEeC scheme. See details.
#' @param keep.unemployed boolean (default \code{TRUE}) indicating to keep (if \code{TRUE}) or not (if \code{FALSE}) the class of unemployed in the reduced ESeC scheme (with number of classes equal ot 7, 6, or 4). See details.
#' @param isco88.armed.forces.code numeric vector with the code for armed forces. Default is \code{c(0, 10, 100, 110)}
#'
#' @return It returns a list with two elements, the ESec code and its label
#' @details Harrison & Rose, 2006, "(ESeC) User Guide" explains the conceptual derivation of the class scheme. In the page 9-10, they suggest a possible reductions in the number of classes from 10 to 6, 5, or 3. The reduced ESeC class scheme in that case excludes the unemployed, but they state that it can be added if desired. This script by default keep the unemployed class, producing reduced schemes with 7, 6, or 4 categories. To exclude the unemployed, set \code{keep.unemployed=TRUE}
#'
#' @export
## }}}
isco88toESeC <- function(isco88, employed=NULL, unemployed=NULL, self.employed=NULL, supervisor=NULL, n.employees=NULL, n.classes=10, keep.unemployed=TRUE, isco88.armed.forces.code=c(0, 10, 100, 110))
{
## check https://www.iser.essex.ac.uk/archives/esec/user-guide
## check number of categories allowed
## ----------------------------------
if (n.classes %!in% c(10,7,6,4)) {
stop("\n\nNumber of classes allowed to compute ESeC class scheme are 10, 7, 6, or 4.\n\n")
}
## recode armed forces
## -------------------
if (!is.null(isco88.armed.forces.code)) {
isco88[isco88 %in% isco88.armed.forces.code] = 10
}else{
on.exit(cat("\n\nNo code provided for armed forces to compute ESeC in the parameter isco88.armed.forces.code"))
}
## error control
## -------------
if (any(isco88[(!is.na(isco88)) & isco88 != 10] %>% nchar < 4)) {
stop("\n\nPlease, provide isco88 with 4 digits for all cases to compute ESeC . Check isco88 for armed foreces and provide it in the parameter isco88.armed.forces.code! \n\n")
}
if (is.null(employed) | is.null(unemployed) | is.null(self.employed) | is.null(supervisor) | is.null(n.employees)) {
stop("\n\nThe parameters employed, unemployed, self.employed, supervisor, and n.employees must be non-NULL to compute ESeC .\n\n")
}
## reduces isco88 to 3 digits
## --------------------------
isco88 = isco88 %>% stringr::str_replace(string=., pattern=".$", replacement="")
## set indicator variables
## -----------------------
self.employed[self.employed != 1 | is.na(self.employed)] = 0
unemployed [unemployed != 1 | is.na(unemployed) ] = 0
employed [employed != 1 | is.na(employed) ] = 0
supervisor [supervisor != 1 | is.na(supervisor) ] = 0
## Compute employment status categories
## ------------------------------------
status = rep(NA, length(isco88))
status[self.employed == 1 & n.employees > 9] <- 1 #### 1: self-employed 10+ employees
status[self.employed == 1 & n.employees %in% 1:9] <- 2 #### 2: small employers <10
status[self.employed == 1 & n.employees == 0] <- 3 #### 3: self-employed, no employees
status[self.employed != 1 & employed == 1 & supervisor == 1] <- 4 #### 4: supervisors
status[self.employed != 1 & employed == 1 & supervisor != 1] <- 5 #### 5: employee
status[unemployed == 1] <- 6 #### 5: unemployed
## Compute ESeC based on status categories
## ---------------------------------------
## ESeC status categories:
## 1 Large employers, higher grade professional, administrative and managerial occupations /Higher salariat
## 2 Lower grade professionals, administrative and managerial occupations and higher grade technician and supervisory occupations /Lower salariat
## 3 Intermediate occupations /Higher grade white collar workers
## 4 Small employers and self-employed occupations(non-agriculture) /Petit bourgeoisie or independents
## 5 Small employers and self-employed occupations (agriculture) /Petit bourgeoisie or independents (agriculture)
## 6 Lower supervisors and technicians /Higher grade blue collar workers
## 7 Lower services, sales and clerical occupations /Lower grade white collar workers
## 8 Lower technical occupations /Skilled workers
## 9 Routine occupations /semi- and non-skilled workers
## 10 Never worked and long-term unemployed /Unemployed
esec = rep(NA, length(isco88))
## ------------------------------------------
## 1) Self-employed 10+ employees. Defaults to 1
## ------------------------------------------
esec[status == 1] <- 1
esec[status == 1 & isco88 %in% c(344, 345)] <- 2
esec[status == 1 & isco88 %in% c(011, 516)] <- 3
esec[status == 1 & isco88 == 621] <- 5
## ------------------------------------------
## 2) Small employers <10. Defaults to 4
## ------------------------------------------
esec[status == 2] <- 4
esec[status == 2 & isco88 %in% c(010, 110, 111, 114, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 2 & isco88 %in% c(223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 310, 311, 312, 314, 320, 321, 322, 323, 334, 342, 344, 345, 348)] <- 2
esec[status == 2 & isco88 %in% c(011, 516)] <- 3
esec[status == 2 & isco88 %in% c(600, 610, 611, 612, 613, 614, 615, 621, 920, 921)] <- 5
## ------------------------------------------
## 3) Self-employed with no employees. Defaults to 4
## ------------------------------------------
esec[status == 3] <- 4
esec[status == 3 & isco88 %in% c(010, 110, 111, 114, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 3 & isco88 %in% c(223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 310, 311, 312, 314, 320, 321, 322, 323, 334, 342, 344, 345, 348)] <- 2
esec[status == 3 & isco88 %in% c(011,516)] <- 3
esec[status == 3 & isco88 %in% c(600, 610, 611, 612, 613, 614, 615, 621, 920, 921)] <- 5
## ------------------------------------------
## 4) Supervisors. Defaults to 6
## ------------------------------------------
esec[status == 4] <- 6
esec[status == 4 & isco88 %in% c(010, 100, 110, 111, 114, 120, 121, 123, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 4 & isco88 %in% c(011, 122, 130,131, 223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 300, 310, 311, 312, 313, 314, 320, 321, 322, 323, 330, 331, 332, 333, 334, 340,341, 342, 343,
344, 345, 346, 347, 348, 400, 410, 411, 412, 419, 420, 521)] <- 2
esec[status == 4 & isco88 == 621] <- 5
## ------------------------------------------
## 5) Employees
## ------------------------------------------
esec[status == 5 & isco88 %in% c(010, 100,110,111,114,120, 121, 123, 200, 210, 211, 212, 213, 214, 220, 221, 222, 231, 235, 240, 241, 242)] <- 1
esec[status == 5 & isco88 %in% c(122,130,131, 223, 230, 232, 233, 234, 243, 244, 245, 246, 247, 310, 311, 312, 314, 320, 321, 322, 323, 334, 342, 344, 345, 348, 521)] <- 2
esec[status == 5 & isco88 %in% c(011, 300, 330, 331, 332, 333, 340, 341, 343, 346, 347, 400, 410, 411, 412, 419, 420)] <- 3
esec[status == 5 & isco88 == 621] <- 5
esec[status == 5 & isco88 %in% c(313, 315, 730,731)] <- 6
esec[status == 5 & isco88 %in% c(413, 421, 422, 500, 510, 511, 513, 514, 516, 520, 522, 911)] <- 7
esec[status == 5 & isco88 %in% c(600, 610, 611, 612, 613, 614, 615, 700, 710, 711, 712, 713, 714, 720, 721, 722, 723, 724, 732, 733, 734, 740, 741, 742, 743, 744, 825, 831, 834)] <- 8
esec[status == 5 & isco88 %in% c(414, 512, 800, 810, 811, 812, 813, 814, 815, 816, 817, 820, 821, 822, 823, 824, 826, 827, 828, 829, 830, 832, 833,900, 910, 912, 913, 914, 915, 916, 920, 921, 930, 931, 932, 933)] <- 9
## ------------------------------------------
## 6) Unemployed
## ------------------------------------------
esec[status == 6] <- 10
## Harrison & Rose, 2006, "(ESeC) User Guide", pg. 9-10
## ----------------------------------------------------
## The 10 class model may be collapsed to 6, 5 or 3 classes. I keep one more for unemployed
##
## - 6-class:
## - classes 1 and 2 = class 1 "the salariat"
## - classes 3 and 6 = "intermediate employee" class 2
## - classes 4 and 5 = class 3 "small employers and self-employed"
## - class 7 becomes class 4;
## - class 8 becomes class 5;
## - class 9 becomes class 6.
##
## - 5-class model:
## - classes 5 and 6 in the sidata class model:
## "lower technical and routine occupations".
##
## - the three class model:
## - classes 1 and 2=salariat;
## - 3, 4, 5 and 6=intermediate;
## - 7, 8 and 9=working class.
##
## - Class 10 may be added as an additional in any of the models,
## if desired.;
## Collapse 7 class
if (n.classes == 7) {
esec[esec %in% 1:2] <- 1
esec[esec %in% c(3,6)] <- 2
esec[esec %in% c(4,5)] <- 3
esec[esec == 7] <- 4
esec[esec == 8] <- 5
esec[esec == 9] <- 6
esec[esec == 10] <- 7
if (!keep.unemployed) {
esec[esec == 7] <- NA
}
}
## Collapse 6 class
if (n.classes == 6) {
esec[esec %in% 1:2] <- 1
esec[esec %in% c(3,6)] <- 2
esec[esec %in% c(4,5)] <- 3
esec[esec == 7] <- 4
esec[esec %in% 8:9] <- 5
esec[esec %in% 10] <- 6
if (!keep.unemployed) {
esec[esec == 6] <- NA
}
}
## Collapse 4 class
if (n.classes == 4) {
esec[esec %in% 1:2] <- 1
esec[esec %in% 3:6] <- 2
esec[esec %in% 7:9] <- 3
esec[esec == 10] <- 4
if (!keep.unemployed) {
esec[esec == 4] <- NA
}
}
esec = set.esec.labels(esec, n.classes=n.classes)
return(esec)
}
set.esec.labels <- function(esec, n.classes=NULL)
{
if (n.classes == 10) {
labels = factor(esec, levels=1:10, labels = c(
'Higher salariat', # 1
'Lower salariat', # 2
'Higher grade white collar workers', # 3
'Petit bourgeoisie', # 4
'Petit bourgeoisie (agriculture)', # 5
'Higher grade blue collar workers', # 6
'Lower grade white collar workers', # 7
'Skilled workers', # 8
'Semi- and non-skilled workers', # 9
'Unemployed' # 10
)) %>% droplevels()
}
if (n.classes == 7) {
labels = factor(esec, levels=1:7, labels = c(
'Salariat', # 1
'Intermediate employee', # 2
'Small/self employers', # 3
'Lower grade white collar workers', # 4
'Skilled workers', # 5
'Semi- and non-skilled workers' , # 6
'Unemployed' # 10
)) %>% droplevels()
}
if (n.classes == 6) {
labels = factor(esec, levels=1:6, labels = c(
'Salariat', # 1
'Intermediate employee', # 2
'Small/self employers', # 3
'Lower grade white collar workers', # 4
'Skilled and semi- and non-skilled workers',# 5
'Unemployed' # 6
)) %>% droplevels()
}
if (n.classes == 4) {
labels = factor(esec, levels=1:4, labels = c('Salariat', 'Intermediate employee/small employers', 'Working class', 'Unemployed')) %>% droplevels()
}
return(labels)
}
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