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Imputation rules for the implementation of the pre-unification education variable in the BASiD Data Set

Imputationsregeln für die Generierung der Bildungsvariable in den BASiD-Daten vor der Wiedervereinigung

Nicole Gürtzgen () and André Diegmann (geb. Nolte) ()
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Nicole Gürtzgen: Institute for Employment Research

Authors registered in the RePEc Author Service: Nicole Guertzgen ()

Journal for Labour Market Research, 2017, vol. 50, issue 1, 45-65

Abstract: Abstract Using combined data from the German Pension Insurance and the Federal Employment Agency (BASiD), this study proposes different procedures for imputing the pre-unification education variable in the BASiD data. To do so, we exploit information on education-related periods that are creditable for the Pension Insurance. Combining these periods with information on the educational system in the former GDR, we propose three different imputation procedures, which we validate using external GDR census data for selected age groups. A common result from all procedures is that they tend to underpredict (overpredict) the share of high-skilled (low-skilled) for the oldest age groups. Comparing our imputed education variable with information on educational attainment from the Integrated Employment Biographies (IEB) reveals that the best match is obtained for the vocational training degree. Although regressions show that misclassification with respect to IEB information is clearly related to observables, we do not find any systematic pattern across skill groups.

Keywords: Imputation rules; Administrative data; East Germany; Education; Institutions (search for similar items in EconPapers)
JEL-codes: I2 C81 (search for similar items in EconPapers)
Date: 2017
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Working Paper: Imputation rules for the implementation of the pre-unication education variable in the BASiD data set (2016) Downloads
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