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laeken (version 0.3.2)

Estimation of indicators on social exclusion and poverty

Description

Estimation of indicators on social exclusion and poverty, as well as Pareto tail modeling for empirical income distributions (including graphical tools).

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Version

Install

install.packages('laeken')

Monthly Downloads

13,016

Version

0.3.2

License

GPL (>= 2)

Maintainer

Andreas Alfons

Last Published

March 19th, 2012

Functions in laeken (0.3.2)

Weighted asymptotic mean squared error (AMSE) estimator

Weighted median

Partial density component (PDC) estimator

Mean excess plot

Quintile share ratio

Estimate the scale parameter of a Pareto distribution

At-risk-of-poverty threshold

Variance and confidence intervals of indicators on social exclusion and poverty

Reweight outliers in the Pareto model

Equivalized disposable income

Weighted maximum likelihood estimator

Utility functions for indicators on social exclusion and poverty

Synthetic EU-SILC survey data

Estimation of indicators on social exclusion and poverty

Shrink outliers in the Pareto model

Bootstrap variance and confidence intervals of indicators on social exclusion and poverty

Calibrate sample weights

Weighted income quintile

Gini coefficient

Trimmed mean estimator

Replace observations under a Pareto model

Weighted mean income

At-risk-of-poverty rate

Integrated squared error (ISE) estimator

Relative median at-risk-of-poverty gap

weightedQuantile

Weighted quantiles

Equivalized household size

Fit income distribution models with the Pareto distribution

Pareto quantile plot

Pareto tail modeling for income distributions

Least squares (LS) estimator

Weighted median income

Gender pay (wage) gap.

Moment estimator

Construct a matrix of binary variables for calibration