Description Usage Arguments Details Value Note Author(s) References See Also Examples
Estimate the Watts (1968) poverty measure
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | svywatts(formula, design, ...)
## S3 method for class 'survey.design'
svywatts(
formula,
design,
type_thresh = "abs",
abs_thresh = NULL,
percent = 0.6,
quantiles = 0.5,
na.rm = FALSE,
thresh = FALSE,
...
)
## S3 method for class 'svyrep.design'
svywatts(
formula,
design,
type_thresh = "abs",
abs_thresh = NULL,
percent = 0.6,
quantiles = 0.5,
na.rm = FALSE,
thresh = FALSE,
...
)
## S3 method for class 'DBIsvydesign'
svywatts(formula, design, ...)
|
formula |
a formula specifying the income variable |
design |
a design object of class |
... |
passed to |
type_thresh |
type of poverty threshold. If "abs" the threshold is fixed and given the value of abs_thresh; if "relq" it is given by percent times the quantile; if "relm" it is percent times the mean. |
abs_thresh |
poverty threshold value if type_thresh is "abs" |
percent |
the multiple of the the quantile or mean used in the poverty threshold definition |
quantiles |
the quantile used used in the poverty threshold definition |
na.rm |
Should cases with missing values be dropped? |
thresh |
return the poverty threshold value |
you must run the convey_prep
function on your survey design object immediately after creating it with the svydesign
or svrepdesign
function.
Object of class "cvystat
", which are vectors with a "var
" attribute giving the variance and a "statistic
" attribute giving the name of the statistic.
This function is experimental and is subject to change in later versions.
Guilherme Jacob, Djalma Pessoa and Anthony Damico
Harold W. Watts (1968). An economic definition of poverty. Institute For Research on Poverty Discussion Papers, n.5. University of Wisconsin. URL https://www.irp.wisc.edu/publications/dps/pdfs/dp568.pdf.
Guillaume Osier (2009). Variance estimation for complex indicators of poverty and inequality. Journal of the European Survey Research Association, Vol.3, No.3, pp. 167-195, ISSN 1864-3361, URL http://ojs.ub.uni-konstanz.de/srm/article/view/369.
Jean-Claude Deville (1999). Variance estimation for complex statistics and estimators: linearization and residual techniques. Survey Methodology, 25, 193-203, URL http://www5.statcan.gc.ca/bsolc/olc-cel/olc-cel?lang=eng&catno=12-001-X19990024882.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | library(survey)
library(laeken)
data(eusilc) ; names( eusilc ) <- tolower( names( eusilc ) )
# linearized design
des_eusilc <- svydesign( ids = ~rb030 , strata = ~db040 , weights = ~rb050 , data = eusilc )
des_eusilc <- convey_prep( des_eusilc )
# replicate-weighted design
des_eusilc_rep <- as.svrepdesign( des_eusilc , type = "bootstrap" )
des_eusilc_rep <- convey_prep( des_eusilc_rep )
# absolute poverty threshold
svywatts(~eqincome, des_eusilc, abs_thresh=10000)
# poverty threshold equal to arpt
svywatts(~eqincome, des_eusilc, type_thresh= "relq" , thresh = TRUE)
# poverty threshold equal to 0.6 times the mean
svywatts(~eqincome, des_eusilc, type_thresh= "relm" , thresh = TRUE)
# using svrep.design:
# absolute poverty threshold
svywatts(~eqincome, des_eusilc_rep, abs_thresh=10000)
# poverty threshold equal to arpt
svywatts(~eqincome, des_eusilc_rep, type_thresh= "relq" , thresh = TRUE)
# poverty threshold equal to 0.6 times the mean
svywatts(~eqincome, des_eusilc_rep, type_thresh= "relm" , thresh = TRUE)
## Not run:
# database-backed design
library(RSQLite)
library(DBI)
dbfile <- tempfile()
conn <- dbConnect( RSQLite::SQLite() , dbfile )
dbWriteTable( conn , 'eusilc' , eusilc )
dbd_eusilc <-
svydesign(
ids = ~rb030 ,
strata = ~db040 ,
weights = ~rb050 ,
data="eusilc",
dbname=dbfile,
dbtype="SQLite"
)
dbd_eusilc <- convey_prep( dbd_eusilc )
# absolute poverty threshold
svywatts(~eqincome, dbd_eusilc, abs_thresh=10000)
# poverty threshold equal to arpt
svywatts(~eqincome, dbd_eusilc, type_thresh= "relq" , thresh = TRUE)
# poverty threshold equal to 0.6 times the mean
svywatts(~eqincome, dbd_eusilc, type_thresh= "relm" , thresh = TRUE)
dbRemoveTable( conn , 'eusilc' )
dbDisconnect( conn , shutdown = TRUE )
## End(Not run)
|
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