Cognitive Ability, Wages, and Meritocracy
AbstractThis paper presents new evidence from the NLSY on the importance of meritocracy in American society. In it, we find that general intelligence, or g -- a measure of cognitive ability--is dominant in explaining test score variance. The weights assigned to tests by g are similar for all major demographic groups. These results support Spearman's theory of g. We also find that g and other measures of ability are not rewarded equally across race and gender, evidence against the view that the labor market is organized on meritocratic principles. Additional factors beyond g are required to explain wages and occupational choice. However, both blue collar and white collar wages are poorly predicted by g or even multiple measures of ability. Observed cognitive ability is only a minor predictor of social performance. White collar wages are more g loaded than blue collar wages. Many noncognitive factors determine blue collar wages.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 5645.
Date of creation: Jul 1996
Date of revision:
Publication status: published as Cawley, John, Karen Conneely, James Heckman, and Edward Vytlacil. "Cognitive Ability, Wages, and Meritocracy." In Intelligence, Genes, and Success: Scientists Respond to The Bell Curve, edited by Bernie Devlin, Stephen Fienberg, Daniel Resnick, and Kathryn Roeder. (Springer Verlag: New York), 1997.
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Find related papers by JEL classification:
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
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- 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.
- Richard J. Murnane & John B. Willett & Frank Levy, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," NBER Working Papers 5076, National Bureau of Economic Research, Inc.
- Blackburn, McKinley L & Neumark, David, 1993.
"Omitted-Ability Bias and the Increase in the Return to Schooling,"
Journal of Labor Economics,
University of Chicago Press, vol. 11(3), pages 521-44, July.
- McKinley L. Blackburn & David Neumark, 1991. "Omitted-Ability Bias and the Increase in the Return to Schooling," NBER Working Papers 3693, National Bureau of Economic Research, Inc.
- Jeff Grogger & Eric Eide, 1995. "Changes in College Skills and the Rise in the College Wage Premium," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 280-310.
- Heckman, James J, 1995. "Lessons from the Bell Curve," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1091-1120, October.
- Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
- Spence, A Michael, 1973. "Job Market Signaling," The Quarterly Journal of Economics, MIT Press, vol. 87(3), pages 355-74, August.
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