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Measurement Error in Education and Growth Regressions

  • Alessie, Rob
  • Portela, Miguel
  • Teulings, Coen N

The perpetual inventory method used for the construction of education data per country leads to systematic measurement error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the education level between census data and observations constructed from enrolment data. We discuss a methodology for correcting the measurement error. The standard attenuation bias suggests that using these corrected data would lead to a higher coefficient. Our regressions reveal the opposite. We discuss why the measurement error yields an overestimation. Our analysis contributes to an explanation of the difference between regressions based on 5 and on 10-year first-differences.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 4637.

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Date of creation: Sep 2004
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Handle: RePEc:cpr:ceprdp:4637
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  1. Mikael Lindahl & Alan B. Krueger, 2001. "Education for Growth: Why and for Whom?," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1101-1136, December.
  2. 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.
  3. Mulligan, Casey B & Sala-i-Martin, Xavier, 1995. "Measuring Aggregate Human Capital," CEPR Discussion Papers 1149, C.E.P.R. Discussion Papers.
  4. Bond, Stephen Roy & Hoeffler, Anke & Temple, Jonathan, 2001. "GMM Estimation of Empirical Growth Models," CEPR Discussion Papers 3048, C.E.P.R. Discussion Papers.
  5. Arellano, Manuel, 1993. "On the testing of correlated effects with panel data," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 87-97, September.
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  8. Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
  9. Ludger Woszmann, 2003. "Specifying Human Capital," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 239-270, 07.
  10. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
  11. Coen N. Teulings & Thijs van Rens, 2002. "Education, Growth and Income Inequality," Tinbergen Institute Discussion Papers 02-001/3, Tinbergen Institute, revised 05 Mar 2003.
  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.
  13. Coen Teuling & Thijs van Rens, 2001. "Education, growth and income inequality," Economics Working Papers 942, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2006.
  14. N. Gregory Mankiw & David Romer & David N. Weil, 1990. "A Contribution to the Empirics of Economic Growth," NBER Working Papers 3541, National Bureau of Economic Research, Inc.
  15. 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.
  16. Richard R. Nelson & Edmond S. Phelps, 1965. "Investment in Humans, Technological Diffusion and Economic Growth," Cowles Foundation Discussion Papers 189, Cowles Foundation for Research in Economics, Yale University.
  17. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
  18. Daniel Cohen & Marcelo Soto, 2007. "Growth and human capital: good data, good results," Journal of Economic Growth, Springer, vol. 12(1), pages 51-76, March.
  19. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
  20. James Heckman & Pedro Carneiro, 2003. "Human Capital Policy," NBER Working Papers 9495, National Bureau of Economic Research, Inc.
  21. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
  22. Topel, Robert, 1999. "Labor markets and economic growth," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 44, pages 2943-2984 Elsevier.
  23. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
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  25. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  26. 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.
  27. 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.
  28. repec:dgr:uvatin:2002001 is not listed on IDEAS
  29. Frank Windmeijer, 2000. "A finite sample correction for the variance of linear two-step GMM estimators," IFS Working Papers W00/19, Institute for Fiscal Studies.
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