Description Usage Arguments Details Value Author(s) References See Also Examples
Plots the original and the counterfactual density functions
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | svyatdens(formula, design, ...)
## S3 method for class 'survey.design'
svyatdens(formula, design, sex, ngrid = 401,
bandwidth = NULL, grake.args = list(calfun = survey::cal.raking,
bounds = list(lower = -Inf, upper = Inf), epsilon = 1e-07, verbose =
FALSE, maxit = 1000, variance = NULL))
## S3 method for class 'svyrep.design'
svyatdens(formula, design, sex,
grake.args = list(calfun = survey::cal.raking, bounds = list(lower =
0.5, upper = 2), epsilon = 1e-07, eta = NULL, maxit = 1000, verbose =
FALSE, variance = NULL), ...)
## S3 method for class 'DBIsvydesign'
svyatdens(formula, design, sex, ...)
|
formula |
a formula specifying the income variable and the variables to calibrate upon. |
design |
a design object of class |
... |
future expansion |
sex |
a formula indicating the sex variable, a factor of two levels (male and female). |
grake.args |
arguments to be passed to the |
This function
Object of class "svystat
", which are vectors with a "var
" attribute giving the variance-covariance matrix and a "statistic
" attribute giving the name of the decomposed variable.
Guilherme Jacob
Anastasiade, M.-C., and Tillé, Y. (2017). Decomposition of gender wage inequalities through calibration: Application to the Swiss structure of earnings survey. Survey Methodology, Statistics Canada, Catalogue No. 12-001-X, Vol. 43, No. 2. URL http://www.statcan.gc.ca/pub/12-001-x/2017002/article/54887-eng.htm.
DiNardo, J., Fortin, N., and Lemieux, T. (1996). Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach. Econometrica, vol. 64, no. 5, pp. 1001–1044, URL http://www.jstor.org/stable/2171954.
Oaxaca, R. (1973). Male-Female Wage Differentials in Urban Labor Markets. International Economic Review, vol. 14, no. 3, pp. 693–709. URL www.jstor.org/stable/2525981.
Blinder, A. (1973). Wage Discrimination: Reduced Form and Structural Estimates. The Journal of Human Resources, vol. 8, no. 4, 1973, pp. 436–455. JSTOR, www.jstor.org/stable/144855
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 | library(survey)
library(vardpoor)
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)
svyatd( ~eqincome , design = des_eusilc )
# replicate-weighted design
des_eusilc_rep <- as.svrepdesign( des_eusilc , type = "bootstrap" )
des_eusilc_rep <- convey_prep(des_eusilc_rep)
svyatd( ~eqincome , design = des_eusilc_rep )
## Not run:
# linearized design using a variable with missings
svyatd( ~ py010n , design = des_eusilc )
svyatd( ~ py010n , design = des_eusilc , na.rm = TRUE )
# replicate-weighted design using a variable with missings
svyatd( ~ py010n , design = des_eusilc_rep )
svyatd( ~ py010n , design = des_eusilc_rep , na.rm = TRUE )
# database-backed design
library(MonetDBLite)
library(DBI)
dbfolder <- tempdir()
conn <- dbConnect( MonetDBLite::MonetDBLite() , dbfolder )
dbWriteTable( conn , 'eusilc' , eusilc )
dbd_eusilc <-
svydesign(
ids = ~rb030 ,
strata = ~db040 ,
weights = ~rb050 ,
data="eusilc",
dbname=dbfolder,
dbtype="MonetDBLite"
)
dbd_eusilc <- convey_prep( dbd_eusilc )
svyatd( ~ eqincome , design = dbd_eusilc )
dbRemoveTable( conn , 'eusilc' )
dbDisconnect( conn , shutdown = TRUE )
## End(Not run)
|
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