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

Arbeitspapier | Working paper

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.

Object Details

• Extent: Seite(n): 22
• Language: Englisch
• Notes: Status: Veröffentlichungsversion

References and Relationships

• Bibliographic citation: IAB Discussion Paper: Beiträge zum wissenschaftlichen Dialog aus dem Institut für Arbeitsmarkt- und Berufsforschung (44/2008)

Classification and Topics

• Subject: Sozialwissenschaften, Soziologie ; Wirtschaft ; Erhebungstechniken und Analysetechniken der Sozialwissenschaften ; Arbeitsmarktforschung ; Analyse ; Daten ; statistische Analyse ; Datenqualität ; Einkommen ; Lohnunterschied ; Modellentwicklung

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Büttner, Thomas ; Rässler, Susanne
• Event: Veröffentlichung
• (who): Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (IAB)
• (where): Deutschland, Nürnberg
• (when): 2008

Further information

• URN: urn:nbn:de:0168-ssoar-322424
• Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
• Last update: 21.06.2024, 4:26 PM CEST