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Human Capital in Growth Regressions: How Much Difference Does Data Quality Make? An Update and Further Results

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  • de la Fuente, Angel
  • Doménech, Rafael

Abstract

We construct estimates of educational attainment for a sample of OECD countries using previously unexploited sources. We follow a heuristic approach to obtain plausible time profiles for attainment levels by removing sharp breaks in the data that seem to reflect changes in classification criteria. We then construct indicators of the information content of our series 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, 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, after correcting for measurement error bias, the value of this parameter is well above 0.50.

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Bibliographic Info

Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 3587.

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Date of creation: Oct 2002
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Handle: RePEc:cpr:ceprdp:3587

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Keywords: growth; human capital; measurement error;

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  1. Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment: Updates and Implications," CID Working Papers 42, Center for International Development at Harvard University.
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  17. 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.
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  19. 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.
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