IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/2900.html
   My bibliography  Save this paper

Imputation Rules to Improve the Education Variable in the IAB Employment Subsample

Author

Listed:
  • 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.

Suggested Citation

  • 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.
  • Handle: RePEc:zbw:zewdip:2900
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/24103/1/dp0510.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
    3. 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.
    4. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, October.
    5. 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.
    6. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    7. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    8. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    9. Thomas J. Kane & Cecilia Rouse & Douglas Staiger, 1999. "Estimating Returns to Schooling When Schooling is Misreported," Working Papers 798, Princeton University, Department of Economics, Industrial Relations Section..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dlugosz, Stephan, 2011. "Give missings a chance: Combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information," ZEW Discussion Papers 11-013, ZEW - Leibniz Centre for European Economic Research.
    2. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    3. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    4. Gunnar Isacsson, 2004. "Estimating the economic return to educational levels using data on twins," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 99-119.
    5. Elizabeth M. King & Claudio E. Montenegro & Peter F. Orazem, 2012. "Economic Freedom, Human Rights, and the Returns to Human Capital: An Evaluation of the Schultz Hypothesis," Economic Development and Cultural Change, University of Chicago Press, vol. 61(1), pages 39-72.
    6. Erich Battistin & Barbara Sianesi, 2006. "Misreported schooling and returns to education: evidence from the UK," CeMMAP working papers CWP07/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," Working Papers 70, Barcelona School of Economics.
    8. Jeffrey Brown & Chichun Fang & Francisco Gomes, 2012. "Risk and Returns to Education," NBER Working Papers 18300, National Bureau of Economic Research, Inc.
    9. Abdoulaye Diagne & Bity Diene, 2011. "Estimating Returns to Higher Education: A Survey of Models, Methods and Empirical Evidence," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 20(suppl_3), pages -132, August.
    10. Heckman, James J. & Lochner, Lance John & Todd, Petra E., 2003. "Fifty Years of Mincer Earnings Regressions," IZA Discussion Papers 775, Institute of Labor Economics (IZA).
    11. Reuben Gronau, 2010. "Zvi Griliches' Contribution to the Theory of Human Capital," NBER Chapters, in: Contributions in Memory of Zvi Griliches, pages 275-297, National Bureau of Economic Research, Inc.
    12. Massimiliano Calì, 2012. "Trade Liberalisation Does Not Always Raise Wage Premia: Evidence from Ugandan Districts," SERC Discussion Papers 0114, Centre for Economic Performance, LSE.
    13. T. Paul Schultz, 2004. "Evidence of Returns to Schooling in Africa from Household Surveys: Monitoring and Restructuring the Market for Education," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 13(02), pages 95-148, December.
    14. Chaitali Sinha, 2014. "Human Capital and Public Policy," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(1), pages 79-125, June.
    15. Norbert R. Schady, 2003. "Convexity and Sheepskin Effects in the Human Capital Earnings Function: Recent Evidence for Filipino Men," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(2), pages 171-196, May.
    16. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2008. "Earnings Functions and Rates of Return," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 1-31.
    17. Alfonso Flores-Lagunes & Audrey Light, 2010. "Interpreting Degree Effects in the Returns to Education," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).
    18. Brown, Jeffrey R. & Fang, Chichun & Gomes, Francisco, 2015. "Risks and returns to education over time," CFS Working Paper Series 512, Center for Financial Studies (CFS).
    19. Annie Tubadji & Vassilis Angelis & Peter Nijkamp, 2016. "Endogenous intangible resources and their place in the institutional hierarchy," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(1), pages 1-28, February.
    20. Francisco Queiró, 2022. "Entrepreneurial Human Capital and Firm Dynamics [How Large Are Human-Capital Externalities? Evidence from Compulsory Schooling Laws]," Review of Economic Studies, Oxford University Press, vol. 89(4), pages 2061-2100.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewdip:2900. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.