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Imputation rules to improve the education variable in the IAB employment subsample

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  • Fitzenberger, Bernd
  • Osikominu, Aderonke
  • Völter, Robert

Abstract

"The education variable in the IAB employment subsample has two shortcomings: missing values and inconsistencies with 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 the 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, wage inequality, and wage regression. We find, that correcting the education variable: (i) shows the educational attainment of the male labor force to be higher than measured with the, original data, (ii) gives different values for some measures of wage inequality, and (iii) does not change the estimates in wage regressions much." (Author's abstract, IAB-Doku) ((en))

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File URL: http://doku.iab.de/fdz/reporte/2005/MR_3.pdf
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Bibliographic Info

Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series FDZ Methodenreport with number 200503_en.

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Length: 50 pages
Date of creation: 23 Sep 2005
Date of revision:
Publication status: published in: Schmollers Jahrbuch. Zeitschrift für Wirtschafts- und Sozialwissenschaften, Jg. 126, H. 3 (2006), p. 405-436
Handle: RePEc:iab:iabfme:200503_en

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Keywords: IAB-Beschäftigtenstichprobe; Bildungsabschluss; Bildungsverlauf; Datengewinnung; Validität; Stichprobenfehler; Datenaufbereitung; Arbeitsmarktforschung; Reliabilität; Datenqualität; Imputationsverfahren;

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  1. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, 03.
  2. Thomas J. Kane & Cecilia Elena Rouse & Douglas Staiger, 1999. "Estimating Returns to Schooling When Schooling is Misreported," NBER Working Papers 7235, National Bureau of Economic Research, Inc.
  3. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
  4. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
  5. Katz, Lawrence F. & Autor, David H., 1999. "Changes in the wage structure and earnings inequality," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 26, pages 1463-1555 Elsevier.
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