IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Can't SBTC explain the U.S. wage inequality dynamics?

  • Yip, Chi Man
Registered author(s):

    Based on the effect of skill-biased technology change (SBTC), this paper builds a search model with heterogeneous firms and workers to explain the dynamics of the wage inequality in the U.S. from 1963-2005. Firms differ in capital intensity (technology content) of the job created and workers differ in their education level. As the match-specific productivity is stochastic, the productivity threshold of employment of each education-job pair matched is endogenously determined. The advance in skill-biased technology increases the productivity of the highly educated workers as well as the capital intensity facing firms when creating high-tech jobs. We argue that in response to the rise in the capital intensity, high-tech firms increase the productivity thresholds of hiring, which leads to wage increment in the high-tech sector, and thus widening the residual wage inequality. Meanwhile, the increase in the productivity of the highly educated worker in the high-tech sector results in higher education premium in both the high-tech and low-tech sectors. Using the historical U.S. data, calibration shows that SBTC can explain the general trends in the education premium and the residual wage inequality from 1963-2005. In particular, it solves the puzzle why the education premium fell but the residual wage inequality grew in the early 1970s.

    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: https://mpra.ub.uni-muenchen.de/31198/1/MPRA_paper_31198.pdf
    File Function: original version
    Download Restriction: no

    Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 31198.

    as
    in new window

    Length:
    Date of creation: Aug 2010
    Date of revision:
    Handle: RePEc:pra:mprapa:31198
    Contact details of provider: Postal:
    Ludwigstraße 33, D-80539 Munich, Germany

    Phone: +49-(0)89-2180-2459
    Fax: +49-(0)89-2180-992459
    Web page: https://mpra.ub.uni-muenchen.de

    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. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    2. Acemoglu, Daron, 1997. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," CEPR Discussion Papers 1707, C.E.P.R. Discussion Papers.
    3. Ann P. Bartel & Nachum Sicherman, 1997. "Technological Change and Wages: An Inter-Industry Analysis," NBER Working Papers 5941, National Bureau of Economic Research, Inc.
    4. Barron, John M, 1975. "Search in the Labor Market and the Duration of Unemployment: Some Empirical Evidence," American Economic Review, American Economic Association, vol. 65(5), pages 934-42, December.
    5. McGuinness, Seamus & Bennett, Jessica, 2007. "Overeducation in the graduate labour market: A quantile regression approach," Economics of Education Review, Elsevier, vol. 26(5), pages 521-531, October.
    6. Steven J. Davis & John Haltiwanger, 1992. "Gross Job Creation, Gross Job Destruction, and Employment Reallocation," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 819-863.
    7. Eli Berman & John Bound & Zvi Griliches, 1994. "Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, Oxford University Press, vol. 109(2), pages 367-397.
    8. Daron Acemoglu, 2002. "Directed Technical Change," Review of Economic Studies, Oxford University Press, vol. 69(4), pages 781-809.
    9. Shouyong Shi, 2002. "A Directed Search Model of Inequality with Heterogeneous Skills and Skill-Biased Technology," Review of Economic Studies, Oxford University Press, vol. 69(2), pages 467-491.
    10. Juan J. Dolado & Marcel Jansen & Juan F. Jimeno, . "On-the-Job Search in a Matching Model with Heterogenous Jobs and Workers," Working Papers 2003-21, FEDEA.
    11. John DiNardo & Nicole M. Fortin & Thomas Lemieux, 1995. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," NBER Working Papers 5093, National Bureau of Economic Research, Inc.
    12. Frenette, Marc, 2004. "The overqualified Canadian graduate: the role of the academic program in the incidence, persistence, and economic returns to overqualification," Economics of Education Review, Elsevier, vol. 23(1), pages 29-45, February.
    13. Sicherman, Nachum, 1991. ""Overeducation" in the Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 9(2), pages 101-22, April.
    14. Allen, Steven G, 2001. "Technology and the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 440-83, April.
    15. Daron Acemoglu, 2003. "Patterns of Skill Premia," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 199-230.
    16. Maite Blázquez & Marcel Jansen, 2005. "Search, Mismatch and Unemployment," Labor and Demography 0510012, EconWPA.
    17. Russell W. Rumberger, 1987. "The Impact of Surplus Schooling on Productivity and Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 22(1), pages 24-50.
    18. Leonardi, Marco, 2005. "Firm Heterogeneity in Capital labor Ratios and Wage Inequality," Institute for Research on Labor and Employment, Working Paper Series qt1g9514wh, Institute of Industrial Relations, UC Berkeley.
    19. Richard R. Verdugo & Naomi Turner Verdugo, 1989. "The Impact of Surplus Schooling on Earnings: Some Additional Findings," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 629-643.
    20. Cohn, Elchanan & Ng, Ying Chu, 2000. "Incidence and wage effects of overschooling and underschooling in Hong Kong," Economics of Education Review, Elsevier, vol. 19(2), pages 159-168, April.
    21. Arnaud Chevalier, 2003. "Measuring Over-education," Economica, London School of Economics and Political Science, vol. 70(279), pages 509-531, 08.
    22. Lawrence F. Katz & Kevin M. Murphy, 1991. "Changes in Relative Wages, 1963-1987: Supply and Demand Factors," NBER Working Papers 3927, National Bureau of Economic Research, Inc.
    23. Jovanovic, Boyan, 1979. "Job Matching and the Theory of Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 972-90, October.
    24. Daron Acemoglu, 1999. "Changes in Unemployment and Wage Inequality: An Alternative Theory and Some Evidence," American Economic Review, American Economic Association, vol. 89(5), pages 1259-1278, December.
    25. Linda Y. Wong, 2003. "Can the Mortensen-Pissarides Model with Productivity Changes Explain U.S. Wage Inequality?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 70-105, January.
    26. Cole, Harold L & Rogerson, Richard, 1999. "Can the Mortensen-Pissarides Matching Model Match the Business-Cycle Facts?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(4), pages 933-59, November.
    27. Peter Gottschalk, 1997. "Inequality, Income Growth, and Mobility: The Basic Facts," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 21-40, Spring.
    28. Acemoglu, Daron, 2001. "Good Jobs versus Bad Jobs," Journal of Labor Economics, University of Chicago Press, vol. 19(1), pages 1-21, January.
    29. Vahey, Shaun P., 2000. "The great Canadian training robbery: evidence on the returns to educational mismatch," Economics of Education Review, Elsevier, vol. 19(2), pages 219-227, April.
    30. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
    31. David Card & John E. DiNardo, 2002. "Skill Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," NBER Working Papers 8769, National Bureau of Economic Research, Inc.
    32. Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-81, September.
    33. Alan B. Krueger, 1991. "How Computers Have Changed the Wage Structure: Evidence From Microdata, 1984-1989," NBER Working Papers 3858, National Bureau of Economic Research, Inc.
    34. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-42, June.
    35. Daly, Mary C. & Buchel, Felix & Duncan, Greg J., 2000. "Premiums and penalties for surplus and deficit education: Evidence from the United States and Germany," Economics of Education Review, Elsevier, vol. 19(2), pages 169-178, April.
    36. Rubb, Stephen, 2003. "Overeducation: a short or long run phenomenon for individuals?," Economics of Education Review, Elsevier, vol. 22(4), pages 389-394, August.
    37. Kiker, B. F. & Santos, Maria C. & de Oliveira, M. Mendes, 1997. "Overeducation and undereducation: Evidence for Portugal," Economics of Education Review, Elsevier, vol. 16(2), pages 111-125, April.
    38. Merz, Monika, 1995. "Search in the labor market and the real business cycle," Journal of Monetary Economics, Elsevier, vol. 36(2), pages 269-300, November.
    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:pra:mprapa:31198. 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: (Joachim Winter)

    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.