Estimation of Social Exclusion Indicators from Complex Surveys: The R Package Laeken

KU Leuven, Faculty of Business and Economics Working Paper

32 Pages Posted: 8 Apr 2013

See all articles by Andreas Alfons

Andreas Alfons

Katholieke Universiteit Leuven - Faculty of Business and Economics (FBE)

Matthias Templ

Vienna University of Technology

Date Written: 2012

Abstract

Units sampled from nite populations typically come with di fferent inclusion probabilities. Together with additional preprocessing steps of the raw data, this yields unequal sampling weights of the observations. Whenever indicators are estimated from such complex samples, the corresponding sampling weights have to be taken into account. In addition, many indicators suffer from a strong influence of outliers, which are a common problem in real-world data. The R package laeken is an object-oriented toolkit for the estimation of indicators from complex survey samples via standard or robust methods. In particular the most widely used social exclusion and poverty indicators are implemented in the package. A general calibrated bootstrap method to estimate the variance of indicators for common survey designs is included as well. Furthermore, the package contains synthetically generated close-to-reality data for the European Union Statistics on Income and Living Conditions and the Structure of Earnings Survey, which are used in the code examples throughout the paper. Even though the paper is focused on showing the functionality of package laeken, it also provides a brief mathematical description of the implemented indicator methodology.

Keywords: indicators, robust estimation, sample weights, survey methodology, R

Suggested Citation

Alfons, Andreas and Templ, Matthias, Estimation of Social Exclusion Indicators from Complex Surveys: The R Package Laeken (2012). KU Leuven, Faculty of Business and Economics Working Paper. Available at SSRN: https://ssrn.com/abstract=2244876 or http://dx.doi.org/10.2139/ssrn.2244876

Andreas Alfons (Contact Author)

Katholieke Universiteit Leuven - Faculty of Business and Economics (FBE) ( email )

Naamsestraat 69
Leuven, B-3000
Belgium

Matthias Templ

Vienna University of Technology ( email )

Karlsplatz 13
Vienna
Austria

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