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Measurement error in education and growth regressions

Listed author(s):
  • Miguel Portela
  • Coen Teulings
  • R. Alessie

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 coe.cient. 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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File URL: https://dspace.library.uu.nl/bitstream/handle/1874/7278/04-14.pdf
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Paper provided by Utrecht School of Economics in its series Working Papers with number 04-14.

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Length: 19 pages
Date of creation: 01 Apr 2004
Handle: RePEc:use:tkiwps:0414
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Web page: http://www.uu.nl/EN/faculties/leg/organisation/schools/schoolofeconomicsuse/Pages/default.aspx
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  1. Mulligan, Casey B & Sala-i-Martin, Xavier, 1995. "Measuring Aggregate Human Capital," CEPR Discussion Papers 1149, C.E.P.R. Discussion Papers.
  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. Temple, Jonathan, 1999. "A positive effect of human capital on growth," Economics Letters, Elsevier, vol. 65(1), pages 131-134, October.
  4. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
  5. 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.
  6. 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.
  7. 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.
  8. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
  9. James Heckman & Pedro Carneiro, 2003. "Human Capital Policy," NBER Working Papers 9495, National Bureau of Economic Research, Inc.
  10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
  11. Cohen, Daniel & Soto, Marcelo, 2001. "Growth and Human Capital: Good Data, Good Results," CEPR Discussion Papers 3025, C.E.P.R. Discussion Papers.
  12. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
  13. Coen Teulings & Thijs van Rens, 2008. "Education, Growth, and Income Inequality," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 89-104, February.
  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. Arellano, Manuel, 1993. "On the testing of correlated effects with panel data," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 87-97, September.
  16. 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.
  17. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
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  19. 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.
  20. 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 218-223, May.
  21. Wößmann, Ludger, 2003. "Specifying human capital," Munich Reprints in Economics 19660, University of Munich, Department of Economics.
  22. Robert J. Barro & Jong-Wha Lee, 1993. "International Comparisons of Educational Attainment," NBER Working Papers 4349, National Bureau of Economic Research, Inc.
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  24. 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.
  25. 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.
  26. 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.
  27. 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.
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