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Multiple imputation of right-censored wages in the German IAB Employment Sample considering heteroscedasticity

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  • Büttner, Thomas
  • Rässler, Susanne

Abstract

"In many large data sets of economic interest, some variables, as wages, are top-coded or right-censored. In order to analyze wages with the German IAB employment sample we first have to solve the problem of censored wages at the upper limit of the social security system. We treat this problem as a missing data problem and derive new multiple imputation approaches to impute the censored wages by draws of a random variable from a truncated distribution based on Markov chain Monte Carlo techniques. In general, the variation of income is smaller in lower wage categories than in higher categories and the assumption of homoscedasticity in an imputation model is highly questionable. Therefore, we suggest a new multiple imputation method which does not presume homoscedasticity of the residuals. Finally, in a simulation study, different imputation approaches are compared under different situations and the necessity as well as the validity of the new approach is confirmed." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Büttner, Thomas & Rässler, Susanne, 2008. "Multiple imputation of right-censored wages in the German IAB Employment Sample considering heteroscedasticity," IAB-Discussion Paper 200844, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabdpa:200844
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    File URL: https://doku.iab.de/discussionpapers/2008/dp4408.pdf
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    References listed on IDEAS

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    1. Michael Moritz, 2011. "Spatial effects of open borders on the Czech labour market," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(2), pages 305-331, April.
    2. Gartner, Hermann & Rässler, Susanne, 2005. "Analyzing the changing gender wage gap based on multiply imputed right censored wages," IAB-Discussion Paper 200505, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Gartner, Hermann, 2005. "The imputation of wages above the contribution limit with the German IAB employment sample," FDZ-Methodenreport 200502 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Gartner, Hermann, 2005. "The imputation of wages above the contribution limit with the German IAB employment sample," FDZ Methodenreport 200502_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Bender, Stefan & Haas, Anette & Klose, Christoph, 2000. "IAB Employment Subsample 1975-1995 Opportunities for Analysis Provided by the Anonymised Subsample," IZA Discussion Papers 117, Institute of Labor Economics (IZA).
    6. Stephan, Gesine & Pahnke, André, 2008. "A pairwise comparison of the effectiveness of selected active labour market programmes in Germany," IAB-Discussion Paper 200829, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    Cited by:

    1. Gürtzgen, Nicole & Nolte, André, 2017. "Imputation rules for the implementation of the pre-unification education variable in the BASiD Data Set," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 50(1), pages 45-65.
    2. Kenneth Burdett & Carlos Carrillo-Tudela & Melvyn Coles, 2020. "The Cost of Job Loss," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(4), pages 1757-1798.
    3. Jan Kluge & Michael Weber, 2018. "Decomposing the German East–West wage gap," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(1), pages 91-125, January.
    4. Hirsch, Boris & Jahn, Elke J. & Toomet, Ott & Hochfellner, Daniela, 2014. "Do better pre-migration skills accelerate immigrants' wage assimilation?," Labour Economics, Elsevier, vol. 30(C), pages 212-222.
    5. Kruppe, Thomas & Matthes, Britta & Unger, Stefanie, 2014. "Effectiveness of data correction rules in process-produced data : the case of educational attainment," IAB-Discussion Paper 201415, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Westdeutschland ; Daten ; Datenaufbereitung ; IAB-Beschäftigtenstichprobe ; Imputationsverfahren ; Lohnhöhe ; Markov-Ketten ; mathematische Statistik ; Methode ; Monte-Carlo-Methode ; angewandte Statistik ; Schätzung ; 2000-2000;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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