Imputation rules to improve the education variable in the IAB employment subsample
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- Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
- Fitzenberger, Bernd & Osikominu, Aderonke & Völter, Robert, 2005. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," ZEW Discussion Papers 05-10, ZEW - Leibniz Centre for European Economic Research.
References listed on IDEAS
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"Estimating Returns to Schooling When Schooling is Misreported,"
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Keywords
IAB-Beschäftigtenstichprobe; Bildungsabschluss; Bildungsverlauf; Datengewinnung; Validität; Stichprobenfehler; Datenaufbereitung; Arbeitsmarktforschung; Reliabilität; Datenqualität; Imputationsverfahren; Messfehler;JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
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