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Schooling, Labor Force Quality, and Economic Growth

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  • Eric A. Hanushek
  • Dongwook Kim

Abstract

Human capital is almost always identified as a crucial ingredient for growing economies, but empirical investigations of cross-national growth have done little to clarify the dimensions of relevant human capital or any implications for policy. This paper concentrates on the importance of labor force quality, measured by cognitive skills in mathematics and science. By linking international test scores across countries, a direct measure of quality is developed, and this proves to have a strong and robust influence on growth. One standard deviation in measured cognitive skills translates into one percent difference in average annual real growth ratesþan effect much stronger than changes in average years of schooling, the more standard quantity measure of labor force skills. Further, the estimated growth effects of improved labor force quality are very robust to the precise specification of the regressions. The use of measures of quality significantly improves the predictions of growth rates, particularly at the high and low ends of the distribution. The importance of quality implies a policy dilemma, because production function estimates indicate that simple resource approaches to improving cognitive skills appear generally ineffective.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5399.

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Date of creation: Dec 1995
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Handle: RePEc:nbr:nberwo:5399

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  1. Kormendi, Roger C. & Meguire, Philip G., 1985. "Macroeconomic determinants of growth: Cross-country evidence," Journal of Monetary Economics, Elsevier, vol. 16(2), pages 141-163, September.
  2. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
  3. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-66, May.
  4. Hanushek, E-A & Rivkin, S-G & Taylor, L-L, 1995. "Aggregation and the Estimated Effects of School Resources," RCER Working Papers 397, University of Rochester - Center for Economic Research (RCER).
  5. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
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  8. Grogger, Jeff, 1996. "Does School Quality Explain the Recent Black/White Wage Trend?," Journal of Labor Economics, University of Chicago Press, vol. 14(2), pages 231-53, April.
  9. David Card & Alan Krueger, 1990. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," NBER Working Papers 3358, National Bureau of Economic Research, Inc.
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  13. O'Neill, June, 1990. "The Role of Human Capital in Earnings Differences between Black and White Men," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 25-45, Fall.
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  17. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  18. Behrman, Jere R & Birdsall, Nancy, 1983. "The Quality of Schooling: Quantity Alone is Misleading," American Economic Review, American Economic Association, vol. 73(5), pages 928-46, December.
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