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Imputation Rules to Improve the Education Variable in the IAB Employment Subsample Author info | Abstract | Publisher info | Download info | Related research | Statistics Bernd Fitzenberger
Aderonke Osikominu
Robert Völter
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The education variable in the IAB employment subsample has two shortcomings: missing values and inconsistencies in the reporting rule. We propose several deductive imputation procedures to improve the variable. They mainly use the multiple education information available in the data because employees' education is reported at least once a year. We compare the improved data from the different procedures and the original data in typical applications in labor economics: educational composition of employment and wage inequality. We find that correcting the education variable shows the educational attainment of the male labor force to be higher than measured with the original data and changes some estimates of wage inequality. Our analysis does not provide a definite rule on how to choose among the different imputation procedures discussed, but we recommend correcting the original education variable.
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Article provided by Duncker & Humblot, Berlin in its journal Schmollers Jahrbuch .
Volume (Year): 126 (2006)
Issue (Month): 3 ()
Pages: 405-436
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Handle: RePEc:aeq:aeqsjb:v126_y2006_i3_q3_p405-436Contact details of provider: Web page: http://www.duncker-humblot.de
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Paper 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 - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
[Downloadable!] Fitzenberger, Bernd & Osikominu, Aderonke & Völter, Robert, 2005.
"Imputation rules to improve the education variable in the IAB employment subsample ,"
FDZ Methodenreport
200503_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
[Downloadable!] Find related papers by JEL classification: C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data 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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Katz, Lawrence F. & Autor, David H., 1999.
"Changes in the wage structure and earnings inequality ,"
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[Downloadable!] (restricted)
Card, David, 1999.
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Handbook of Labor Economics ,
in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863
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"Estimating Returns to Schooling When Schooling is Misreported ,"
NBER Working Papers
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