R: Estimation of indicators on social exclusion and poverty

laeken-package {laeken} | R Documentation

## 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.

### Details

Package: | laeken
Type: | Package
Version: | 0.4.6
Date: | 2014-08-19
Depends: | R (>= 2.10.0), boot, MASS
License: | GPL (>= 2)

Index:

    arpr                    At-risk-of-poverty rate
    arpt                    At-risk-of-poverty threshold
    bootVar                 Bootstrap variance and confidence intervals of
                            indicators on social exclusion and poverty
    calibVars               Construct a matrix of binary variables for
                            calibration
    calibWeights            Calibrate sample weights
    eqInc                   Equivalized disposable income
    eqSS                    Equivalized household size
    eusilc                  Synthetic EU-SILC survey data
    fitPareto               Fit income distribution models with the Pareto
                            distribution
    gini                    Gini coefficient
    gpg                     Gender pay (wage) gap.
    incMean                 Weighted mean income
    incMedian               Weighted median income
    incQuintile             Weighted income quintile
    laeken-package          Estimation of indicators on social exclusion
                            and poverty
    meanExcessPlot          Mean excess plot
    minAMSE                 Weighted asymptotic mean squared error (AMSE)
                            estimator
    paretoQPlot             Pareto quantile plot
    paretoScale             Estimate the scale parameter of a Pareto
                            distribution
    paretoTail              Pareto tail modeling for income distributions
    plot.paretoTail         Diagnostic plot for the Pareto tail model
    prop                    Proportion of an alternative distribution
    qsr                     Quintile share ratio
    replaceTail             Replace observations under a Pareto model
    reweightOut             Reweight outliers in the Pareto model
    rmpg                    Relative median at-risk-of-poverty gap
    ses                     Synthetic SES survey data
    shrinkOut               Shrink outliers in the Pareto model
    thetaHill               Hill estimator
    thetaISE                Integrated squared error (ISE) estimator
    thetaLS                 Least squares (LS) estimator
    thetaMoment             Moment estimator
    thetaPDC                Partial density component (PDC) estimator
    thetaQQ                 QQ-estimator
    thetaTM                 Trimmed mean estimator
    thetaWML                Weighted maximum likelihood estimator
    utils                   Utility functions for indicators on social
                            exclusion and poverty
    variance                Variance and confidence intervals of indicators
                            on social exclusion and poverty
    weightedMean            Weighted mean
    weightedMedian          Weighted median
    weightedQuantile        Weighted quantiles

Further information is available in the following vignettes:

`laeken-intro` | Estimation of Social Exclusion Indicators From Complex Surveys: The R Package laeken (source, pdf)
`laeken-pareto` | Robust Pareto Tail Modeling for the Estimation of Indicators on Social Exclusion using the R Package laeken (source, pdf)
`laeken-standard` | Standard Methods for Point Estimation of Indicators on Social Exclusion and Poverty using the R Package laeken (source, pdf)
`laeken-variance` | Variance Estimation of Indicators on Social Exclusion and Poverty using the R Package laeken (source, pdf)

### Author(s)

Andreas Alfons [aut, cre], Josef Holzer [aut], Matthias Templ [aut]

Maintainer: Andreas Alfons <alfons@ese.eur.nl>

### References

A. Alfons and M. Templ (2013) Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken. Journal of Statistical Software, 54(15), 1–25. URL http://www.jstatsoft.org/v54/i15/

A. Alfons, M. Templ, P. Filzmoser (2013) Robust estimation of economic indicators from survey samples based on Pareto tail modeling. Journal of the Royal Statistical Society, Series C, 62(2), 271–286.

[Package laeken version 0.4.6 Index]