Income Concentration Analysis with Complex Survey Samples
Estimate the derivative of the cdf function using kernel estimator
Generalized linearization of a smooth function of survey statistics
prepare svydesign and svyrep.design objects for the convey package
Computes the bandwidth needed to compute the derivative of the cdf fun...
Linearization of the cumulative distribution function (cdf) of a varia...
At-risk-of-poverty rate
At-risk-of-poverty threshold
Atkinson index
FGT measure of poverty
FGT indices decomposition
Generalized entropy index
Generalized Entropy Index Decomposition
Gini coefficient
Linearization of the gender pay (wage) gap
Linearization of a variable quantile
Linearization of the total below a quantile
J-divergence measure
J-Divergence Decomposition
Lorenz curve
Relative median poverty gap
Quintile Share Ratio
Richness measures
Relative median income ratio
Relative median poverty gap
Watts measure of poverty
Watts poverty index decomposition
Zenga index
Variance estimation on indicators of income concentration and poverty using complex sample survey designs. Wrapper around the 'survey' package.