Intelligence, Human Capital, and Economic Growth: An Extreme Bounds Analysis
Human capital plays an important role in the theory of economic growth, but it has been difficult to measure this abstract concept. We survey the psychological literature on cross-cultural IQ tests, and conclude that modern intelligence tests are well-suited for measuring an important form of a nationâ€™s human capital. Using a new database compiled by Lynn and Vanhanen (2002), we show that national average IQ has a robust positive relationship with economic growth. Using a methodology derived from Sala-i-Martin (1997a), we show that in growth regressions that include only robust control variables, IQ is statistically significant in 99.7% of these 1330 regressions. A strong relationship persists even when OECD countries are excluded from the sample. Conditional on GDP per capita in 1960 and other control variables, a 1 point increase in a nationâ€™s average IQ is associated with a persistent 0.13% annual increase in GDP per capita
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- Robert J. Barro & Jong-Wha Lee, 1993.
"International Comparisons of Educational Attainment,"
NBER Working Papers
4349, National Bureau of Economic Research, Inc.
- Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
- Kevin D. Hoover & Stephen J. Perez, .
"Truth and Robustness in Cross-country Growth Regressions,"
Department of Economics
01-01, California Davis - Department of Economics.
- Kevin D. Hoover & Stephen J. Perez, 2004. "Truth and Robustness in Cross-country Growth Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 765-798, December.
- Kevin Hoover & Harris Dellas, 2003. "Truth and Robustness in Cross-country Growth Regressions," Working Papers 11, University of California, Davis, Department of Economics.
- Jerik Hanushek & Dennis Kimko, 2006.
"Schooling, Labor-force Quality, and the Growth of Nations,"
Higher School of Economics, issue 1, pages 154-193.
- Dennis D. Kimko & Eric A. Hanushek, 2000. "Schooling, Labor-Force Quality, and the Growth of Nations," American Economic Review, American Economic Association, vol. 90(5), pages 1184-1208, December.
- Mankiw, N Gregory & Romer, David & Weil, David N, 1992.
"A Contribution to the Empirics of Economic Growth,"
The Quarterly Journal of Economics,
MIT Press, vol. 107(2), pages 407-37, May.
- Eric A. Hanushek & Dongwook Kim, 1995. "Schooling, Labor Force Quality, and Economic Growth," NBER Working Papers 5399, National Bureau of Economic Research, Inc.
- Weede, Erich & Kampf, Sebastian, 2002. "The Impact of Intelligence and Institutional Improvements on Economic Growth," Kyklos, Wiley Blackwell, vol. 55(3), pages 361-80.
- Xavier X. Sala-i-Martin, 1997.
"I Just Ran Four Million Regressions,"
NBER Working Papers
6252, National Bureau of Economic Research, Inc.
- Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-13, June.
- Edward E. Leamer, 1982.
"Let's Take the Con Out of Econometrics,"
UCLA Economics Working Papers
239, UCLA Department of Economics.
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