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Skill-biased technological change, training, and the college wage premium: A quantitative analysis

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  • Palmer, Thomas

Abstract

This paper establishes that the rise in employer-provided training due to technological change has dampened the college wage premium. Using unique survey micro-data, I show that hightechnology firms provide more training overall, but the gap in training participation between high- and low-skill workers is smaller within these firms. To understand the aggregate implications of these patterns, I build a quantitative model of the labor market with endogenous technology and training investments. In a counterfactual exercise, I find that the increase in the college wage premium would be 63 percent greater if training costs remained constant between 1980 and the early 2000s.

Suggested Citation

  • Palmer, Thomas, 2024. "Skill-biased technological change, training, and the college wage premium: A quantitative analysis," CLEF Working Paper Series 72, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    • Handle: RePEc:zbw:clefwp:300865
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    References listed on IDEAS

    as
    1. Oleksiy Kryvtsov & Alexander Ueberfeldt, 2009. "What Accounts for the U.S.-Canada Education-Premium Difference?," Staff Working Papers 09-4, Bank of Canada.
    2. Edwin Leuven & Hessel Oosterbeek, 2008. "An alternative approach to estimate the wage returns to private-sector training," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 423-434.
    3. He, Hui, 2012. "What drives the skill premium: Technological change or demographic variation?," European Economic Review, Elsevier, vol. 56(8), pages 1546-1572.
    4. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    5. Shouyong Shi, 2002. "A Directed Search Model of Inequality with Heterogeneous Skills and Skill-Biased Technology," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(2), pages 467-491.
    6. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
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    Keywords

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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • 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
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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