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Human Capital in Growth Regressions: How Much Difference Does Data Quality Make?

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Author Info
Angel de la Fuente (Instituto de Análisis Económico (CSIC) and CREA.)
Rafael Doménech (Universidad de Valencia.)

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Abstract

We construct estimates of educational attainment for a sample of 21 OECD countries. Our series incorporate previously unexploited information and remove sharp breaks in the data that can only reflect changes in classification criteria. We then construct indicators of the information content of our estimates and a number of previously available data sets and examine their performance in several growth specifications. We find a clear positive correlation between data quality and the size and significance of human capital coefficients in growth regressions. Using an extension of the classical errors in variables model to correct for measurement error bias, we construct a set of meta-estimates of the coefficient of years of schooling in an aggregate Cobb-Douglas production function. Our results suggest that the value of this parameter is likely to be above 0.60. (JEL: O40, I20, O30, C19) Copyright (c) 2006 by the European Economic Association.

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Article provided by MIT Press in its journal Journal of the European Economic Association.

Volume (Year): 4 (2006)
Issue (Month): 1 (03)
Pages: 1-36
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Handle: RePEc:tpr:jeurec:v:4:y:2006:i:1:p:1-36

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  1. Lau, Lawrence J. & Jamison, Dean T. & Louat, Frederic F., 1991. "Education and productivity in developing countries : an aggregate production function approach," Policy Research Working Paper Series 612, The World Bank. [Downloadable!]
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  3. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October. [Downloadable!] (restricted)
  4. Nehru, Vikram & Swanson, Eric & Dubey, Ashutosh, 1995. "A new database on human capital stock in developing and industrial countries: Sources, methodology, and results," Journal of Development Economics, Elsevier, vol. 46(2), pages 379-401, April. [Downloadable!] (restricted)
  5. Prescott, Edward C, 1998. "Needed: A Theory of Total Factor Productivity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 525-51, August.
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  6. Robert J. Barro & Jong-Wha Lee, 1993. "International Comparisons of Educational Attainment," NBER Working Papers 4349, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  7. Jones, Charles I, 1997. " Convergence Revisited," Journal of Economic Growth, Springer, vol. 2(2), pages 131-53, July. [Downloadable!] (restricted)
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  8. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. " Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-89, September.
  9. Griliches, Zvi, 1980. "R & D and the Productivity Slowdown," American Economic Review, American Economic Association, vol. 70(2), pages 343-48, May. [Downloadable!] (restricted)
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  10. Pritchett, Lant, 1996. "Where has all the education gone?," Policy Research Working Paper Series 1581, The World Bank. [Downloadable!]
  11. Behrman, Jere R. & Rosenzweig, Mark R., 1994. "Caveat emptor: Cross-country data on education and the labor force," Journal of Development Economics, Elsevier, vol. 44(1), pages 147-171, June. [Downloadable!] (restricted)
  12. Barro, Robert J & Lee, Jong Wha, 1996. "International Measures of Schooling Years and Schooling Quality," American Economic Review, American Economic Association, vol. 86(2), pages 218-23, May. [Downloadable!] (restricted)
  13. Peter Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114 National Bureau of Economic Research, Inc. [Downloadable!]
  14. 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. [Downloadable!] (restricted)
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  15. Delano Villanueva & Malcolm D. Knight & Norman Loayza, 1992. "Testing the Neoclassical Theory of Economic Growth - A Panel Data Approach," IMF Working Papers 92/106, International Monetary Fund.
  16. Kyriacou, George A., 1991. "Level and Growth Effects of Human Capital: A Cross-Country Study of the Convergence Hypothesis," Working Papers 91-26, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
  17. Hilary Steedman, 1996. "Measuring the Quality of Educational Outputs: A Note," CEP Discussion Papers dp0302, Centre for Economic Performance, LSE. [Downloadable!]
  18. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February. [Downloadable!] (restricted)
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  19. Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November. [Downloadable!] (restricted)
  20. Barro, Robert J. & Lee, Jong-Wha, 1994. "Sources of economic growth," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 40(1), pages 1-46, June. [Downloadable!] (restricted)
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