svyatd: Anastasiade-Tillé Decomposition by Calibration

In guilhermejacob/svycdec: Anastasiade-Tillé decomposition by calibration using complex surveys

Description

Decomposes the difference of average wages between men and women in composition effects and wage structure effects.

Usage

svyatd(formula, design, ...)

## S3 method for class 'survey.design'
svyatd(formula, design, sex, na.rm = TRUE,
  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 'svyrep.design'
svyatd(formula, design, sex, na.rm = TRUE,
  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'
svyatd(formula, design, sex, ...)

Arguments

formula	a formula specifying the income variable and the variables to calibrate upon.
design	a design object of class survey.design or class svyrep.design from the survey library.
...	future expansion
sex	a formula indicating the sex variable, a factor of two levels (male and female).
na.rm	Should cases with missing values be dropped?
grake.args	arguments to be passed to the grake function of the survey library.

Details

This function runs on a survey design object produced by the survey package.

Value

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.

Author(s)

Guilherme Jacob

References

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

See Also

svyatddens

Examples

library(vardpoor)
library(survey)

data(ses)
names( ses ) <- gsub( "size" , "size_" , tolower( names( ses ) ) )
ses$sex <- relevel(ses$sex, "male")

# define arguments for raking
grake.args <- list( calfun = survey::cal.raking,
                 bounds = list(lower = 0 , upper = 3 ),
                 epsilon = 1e-7,
                 eta = NULL,
                 maxit = 100 ,
                 verbose = FALSE,
                 variance = NULL )

# define starting values
grake.args$eta <- c( -4.05134, -0.60522, -0.50329, -0.57568, -0.25707, 2.66533, 0.02911 )

# lrun decomposition
des_ses <- svydesign(id=~1, weights=~weights, data=ses)
svyatd( formula = log(earningsmonth) ~ factor(age) + hourspaid , design = des_ses , sex = ~sex , na.rm = TRUE , grake.args = grake.args )

guilhermejacob/svycdec documentation built on Nov. 4, 2019, 1:24 p.m.