IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

“Earnings Imputation and Bias in Wage Gap Estimates,”

  • Barry T. Hirsch
  • Edward J. Schumacher

No abstract is available for this item.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.ecu.edu/econ/wp/00/ecu0003.pdf
Our checks indicate that this address may not be valid because: 404 Not Found. If this is indeed the case, please notify (Thomas Krichel)


Download Restriction: no

Paper provided by East Carolina University, Department of Economics in its series Working Papers with number 0003.

as
in new window

Length:
Date of creation: Feb 2000
Date of revision:
Handle: RePEc:wop:eacaec:0003
Contact details of provider: Postal: Brewster A-427, 10th Street, Greenville, NC 27858
Phone: (252) 328-6006
Fax: (252) 328-6743
Web page: http://www.econ.ecu.edu/wp/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Dehejia, R.H. & Wahba, S., 1998. "Propensity Score Matching Methods for Non-Experimental Causal Studies," Discussion Papers 1998_02, Columbia University, Department of Economics.
  2. Smith, J.P., 1996. "Racial and Ethnic Differences in Wealth in the Health and Retirement Study," Papers 96-12, RAND - Reprint Series.
  3. Gibbons, Robert & Katz, Lawrence F, 1992. "Does Unmeasured Ability Explain Inter-industry Wage Differentials?," Review of Economic Studies, Wiley Blackwell, vol. 59(3), pages 515-35, July.
  4. Joshua Angrist & Alan Krueger, 1998. "Empirical Strategies in Labor Economics," Working Papers 780, Princeton University, Department of Economics, Industrial Relations Section..
  5. Krueger, Alan B & Summers, Lawrence H, 1988. "Efficiency Wages and the Inter-industry Wage Structure," Econometrica, Econometric Society, vol. 56(2), pages 259-93, March.
  6. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
  7. Hirsch, Barry T & Macpherson, David A, 2000. "Earnings, Rents, and Competition in the Airline Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 18(1), pages 125-55, January.
  8. Barry T. Hirsch & Edward J. Schumacher, 1998. "Unions, Wages, and Skills," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 201-219.
  9. Lillard, Lee & Smith, James P & Welch, Finis, 1986. "What Do We Really Know about Wages? The Importance of Nonreporting and Census Imputation," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 489-506, June.
  10. Kim, Dae Il, 1998. "Reinterpreting Industry Premiums: Match-Specific Productivity," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 479-504, July.
  11. Helwege, Jean, 1992. "Sectoral Shifts and Interindustry Wage Differentials," Journal of Labor Economics, University of Chicago Press, vol. 10(1), pages 55-84, January.
  12. Card, David, 1996. "The Effect of Unions on the Structure of Wages: A Longitudinal Analysis," Econometrica, Econometric Society, vol. 64(4), pages 957-79, July.
  13. Mellow, Wesley & Sider, Hal, 1983. "Accuracy of Response in Labor Market Surveys: Evidence and Implications," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 331-44, October.
  14. William T. Dickens & Lawrence F. Katz, 1986. "Interindustry Wage Differences and Industry Characteristics," NBER Working Papers 2014, National Bureau of Economic Research, Inc.
  15. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-94, July.
  16. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
  17. John A. Bishop & John P. Formby & Paul D. Thistle, 1999. "Mitigating Earnings Imputation Bias: Evidence from the CPS," Working Papers 9914, East Carolina University, Department of Economics.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wop:eacaec:0003. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.