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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. Eric A. Hanushek & Steven G. Rivkin & Lori L. Taylor, 1996. "Aggregation and the Estimated Effects of School Resources," NBER Working Papers 5548, National Bureau of Economic Research, Inc.
  2. Mincer, Jacob, 1970. "The Distribution of Labor Incomes: A Survey with Special Reference to the Human Capital Approach," Journal of Economic Literature, American Economic Association, vol. 8(1), pages 1-26, March.
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  7. Robert J. Barro & Jong-Wha Lee, 1993. "International Comparisons of Educational Attainment," NBER Working Papers 4349, National Bureau of Economic Research, Inc.
  8. Levine, Ross & Zervos, Sara J, 1993. "What We Have Learned about Policy and Growth from Cross-Country Regressions?," American Economic Review, American Economic Association, vol. 83(2), pages 426-30, May.
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  14. 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.
  15. Easterly, William & Rebelo, Sergio, 1993. "Fiscal policy and economic growth: An empirical investigation," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 417-458, December.
  16. Willis, Robert J, 1973. "A New Approach to the Economic Theory of Fertility Behavior," Journal of Political Economy, University of Chicago Press, vol. 81(2), pages S14-64, Part II, .
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  18. 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.
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