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Catch me if you learn: development-specific education and economic growth

  • F. Manca
  • F. Cerina

    ()

This paper presents a theoretical and empirical investigation of the relationship between human capital composition and economic growth and points to the importance of tertiary education in the explanation of growth for developing countries. In the theoretical analysis, we allow for non-constant returns to scale in technological activities. Differently from previous literature, our results show that, under broad and plausible model parameterizations, the marginal growth effect of skilled workers is increasing with the distance to the frontier for sufficiently poor countries while it is decreasing (in agreement with the existing literature) only for countries close to the technological frontier. Our empirical analysis provides robust evidence for this theoretical prediction using a 10-year panel of 85 countries for the years in between 1960 and 2000 as well as using System GMM technique to address the problem of endogeneity. Results are robust to different proxies of human capital and different specifications.

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File URL: http://crenos.unica.it/crenos/sites/all/modules/pubdlcnt/pubdlcnt.php?file=http://crenos.unica.it/crenos/sites/default/files/WP12-25.pdf&nid=3783
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Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 201225.

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Date of creation: 2012
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Handle: RePEc:cns:cnscwp:201225
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  1. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
  2. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
  3. Castelló-Climent, Amparo, 2008. "On the distribution of education and democracy," Journal of Development Economics, Elsevier, vol. 87(2), pages 179-190, October.
  4. Alan B. Krueger & Mikael Lindahl, 2000. "Education for Growth: Why and For Whom?," NBER Working Papers 7591, National Bureau of Economic Research, Inc.
  5. Cohen, Daniel & Soto, Marcelo, 2001. "Growth and Human Capital: Good Data, Good Results," CEPR Discussion Papers 3025, C.E.P.R. Discussion Papers.
  6. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  7. Mansfield, Edwin & Schwartz, Mark & Wagner, Samuel, 1981. "Imitation Costs and Patents: An Empirical Study," Economic Journal, Royal Economic Society, vol. 91(364), pages 907-18, December.
  8. Angel de la Fuente & Rafael Donénech, 2000. "Human Capital in Growth Regressions: How much Difference Does Data Quality Make?," OECD Economics Department Working Papers 262, OECD Publishing.
  9. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
  10. Scott L. Baier & Gerald P. Dwyer, Jr. & Robert Tamura, 2002. "How important are capital and total factor productivity for economic growth?," Working Paper 2002-2, Federal Reserve Bank of Atlanta.
  11. Psacharopoulos, George & Patrinos, Harry Anthony, 2002. "Returns to investment in education : a further update," Policy Research Working Paper Series 2881, The World Bank.
  12. Edward L. Glaeser & Andrei Shleifer, 2002. "Legal Origins," The Quarterly Journal of Economics, MIT Press, vol. 117(4), pages 1193-1229, November.
  13. Ang, James B. & Madsen, Jakob B. & Rabiul Islam, Md., 2011. "The effects of human capital composition on technological convergence," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 465-476, September.
  14. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
  15. Jess Benhabib & Mark M. Spiegel, 2002. "Human capital and technology diffusion," Working Paper Series 2003-02, Federal Reserve Bank of San Francisco.
  16. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
  17. Torben G. Andersen & Bent E. Sorensen, 1995. "GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Discussion Papers 95-19, University of Copenhagen. Department of Economics.
  18. Psacharopoulos, George, 1993. "Returns to investment in education : a global update," Policy Research Working Paper Series 1067, The World Bank.
  19. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, 02.
  20. Jérôme Vandenbussche & Philippe Aghion & Costas Meghir, 2004. "Growth, distance to frontier and composition of human capital," IFS Working Papers W04/31, Institute for Fiscal Studies.
  21. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
  22. Jérôme Vandenbussche & Philippe Aghion & Costas Meghir, 2006. "Growth, distance to frontier and composition of human capital," Journal of Economic Growth, Springer, vol. 11(2), pages 97-127, June.
  23. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
  24. Elchanan Cohn & John Addison, 1998. "The Economic Returns to Lifelong Learning in OECD Countries," Education Economics, Taylor & Francis Journals, vol. 6(3), pages 253-307.
  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.
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