Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/129609
Authors: 
Gürtzgen, Nicole
Nolte, André
Year of Publication: 
2016
Series/Report no.: 
ZEW Discussion Papers 16-020
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 in 1981. 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.
Subjects: 
Imputation Rules
Administrative Data
East Germany
Education
Institutions
JEL: 
I2
C81
Document Type: 
Working Paper

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