IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v28y1993i3p519-537.html
   My bibliography  Save this article

The Usefulness of Predicted Values for Prior Work Experience in Analyzing Labor Market Outcomes for Women

Author

Listed:
  • Randall K. Filer

Abstract

This paper proposes an improved way of treating experience in estimating wage equations for women when measures of actual experience are lacking. It shows that using a predicted value for experience from occupation-specific equations estimated on another data set containing actual experience is preferable to using either potential experience (time since school leaving) or predicted experience without taking account of the woman's occupation. Results also show that the use of potential experience may bias the estimated impact of factors such as race and schooling on women's wages.

Suggested Citation

  • Randall K. Filer, 1993. "The Usefulness of Predicted Values for Prior Work Experience in Analyzing Labor Market Outcomes for Women," Journal of Human Resources, University of Wisconsin Press, vol. 28(3), pages 519-537.
  • Handle: RePEc:uwp:jhriss:v:28:y:1993:i:3:p:519-537
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/pdfplus/146158
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joseph G. Hirschberg & Daniel J. Slottje, 2004. "Bounding Estimates Of Wage Discrimination," Research in Labor Economics, in: Accounting for Worker Well-Being, pages 215-233, Emerald Group Publishing Limited.
    2. Anh T. Le & Paul W. Miller, 2001. "The Persistence of the Female Wage Disadvantage," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 34(1), pages 33-52, March.
    3. Susan Averett & Sanders Korenman, 1996. "The Economic Reality of the Beauty Myth," Journal of Human Resources, University of Wisconsin Press, vol. 31(2), pages 304-330.
    4. Munasinghe, Lalith & Reif, Tania & Henriques, Alice, 2008. "Gender gap in wage returns to job tenure and experience," Labour Economics, Elsevier, vol. 15(6), pages 1296-1316, December.
    5. Michael Carlos Best & Henrik Jacobsen Jacobsen, 2013. "Optimal Income Taxation with Career Effects of Work Effort," Working Papers 2013-9, Princeton University. Economics Department..
    6. Zveglich, Joseph E. & van der Meulen Rodgers, Yana & Laviña, Editha A., 2019. "Expected work experience and the gender wage gap: A new human capital measure," Economic Modelling, Elsevier, vol. 83(C), pages 372-383.
    7. Averett, Susan L. & Burton, Mark L., 1996. "College attendance and the college wage premium: Differences by gender," Economics of Education Review, Elsevier, vol. 15(1), pages 37-49, February.
    8. Bacolod, Marigee & Joseph Hotz, V., 2006. "Cohort changes in the transition from school to work: Evidence from three NLS surveys," Economics of Education Review, Elsevier, vol. 25(4), pages 351-373, August.
    9. Holly Monti & Lori Reeder & Martha Stinson, 2018. "How long do early career decisions follow women? The impact of industry and firm size history on the gender and motherhood wage gaps," Working Papers 18-05, Center for Economic Studies, U.S. Census Bureau.
    10. Marigee Bacolod & V. Joseph Hotz, 2005. "Cohort Changes in the Transition from School to Work: What Changed and What Consequences Did it have for Wages?," Working Papers 050618, University of California-Irvine, Department of Economics.
    11. Michael P. Kidd & Michael Shannon, 1997. "Imputation of Female Labour Market Experience: Some Australian Evidence on the Zabalza and Arrufat Method," The Economic Record, The Economic Society of Australia, vol. 73(221), pages 136-145, June.
    12. Stephen L. Ross, 2003. "What Is Known about Testing for Discrimination: Lessons Learned by Comparing across Different Markets," Working papers 2003-21, University of Connecticut, Department of Economics, revised Nov 2003.
    13. Meng, Xin, 2004. "Gender earnings gap: the role of firm specific effects," Labour Economics, Elsevier, vol. 11(5), pages 555-573, October.
    14. Michelle Budig & Irene B ckmann & Joya Misra, 2010. "The Motherhood Penalty in Cross-National Perspective: The Importance of Work-Family Policies and Cultural Attitudes," LIS Working papers 542, LIS Cross-National Data Center in Luxembourg.
    15. Christine Siegwarth Meyer & Swati Mukerjee, 2007. "Investigating Dual Labor Market Theory For Women," Eastern Economic Journal, Eastern Economic Association, vol. 33(3), pages 301-316, Summer.
    16. Trejo, Stephen J, 1997. "Why Do Mexican Americans Earn Low Wages?," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1235-1268, December.
    17. Holly Monti & Martha Stinson & Lori Zehr, 2020. "How Long Do Early Career Decisions Follow Women? The Impact of Employer History on the Gender Wage Gap," Journal of Labor Research, Springer, vol. 41(3), pages 189-232, September.
    18. Budig, Michelle J. & Misra, Joya & Boeckmann, Irene, 2016. "Work-family policy trade-offs for mothers? Unpacking the cross-national variation in motherhood earnings penalties," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(2), pages 119-177.
    19. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS
    20. Braga, Breno, 2018. "Earnings dynamics: The role of education throughout a worker’s career," Labour Economics, Elsevier, vol. 52(C), pages 83-97.
    21. Susan Averett & Sharon Dalessandro, 2001. "Racial and Gender Differences in the Returns to 2-Year and 4-Year Degrees," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 281-292.

    More about this item

    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:uwp:jhriss:v:28:y:1993:i:3:p:519-537. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: http://jhr.uwpress.org/ .

    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.