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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. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
  2. 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.
  3. 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.
  4. Alan Krueger & Mikael Lindahl, 2000. "Education for Growth: Why and For Whom?," Working Papers 808, Princeton University, Department of Economics, Industrial Relations Section..
  5. Edward L. Glaeser & Andrei Shleifer, 2001. "Legal Origins," Harvard Institute of Economic Research Working Papers 1920, Harvard - Institute of Economic Research.
  6. 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.
  7. 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.
  8. Psacharopoulos, George, 1994. "Returns to investment in education: A global update," World Development, Elsevier, vol. 22(9), pages 1325-1343, September.
  9. Bowsher, Clive G., 2002. "On testing overidentifying restrictions in dynamic panel data models," Economics Letters, Elsevier, vol. 77(2), pages 211-220, October.
  10. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
  11. Jess Benhabib & Mark M. Spiegel, 2002. "Human capital and technology diffusion," Working Paper Series 2003-02, Federal Reserve Bank of San Francisco.
  12. 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.
  13. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
  14. 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.
  15. Torben G. Andersen & Hyung-Jin Chung & Bent E. Sorensen, . "EMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Computing in Economics and Finance 1997 6, Society for Computational Economics.
  16. 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.
  17. Angel de la Fuente & Rafael Doménech, 2006. "Human Capital in Growth Regressions: How Much Difference Does Data Quality Make?," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 1-36, 03.
  18. 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.
  19. 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.
  20. 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.
  21. Barro, Robert J. & Lee, Jong-Wha, 1993. "International comparisons of educational attainment," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 363-394, December.
  22. 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.
  23. Castelló-Climent, Amparo, 2008. "On the distribution of education and democracy," Journal of Development Economics, Elsevier, vol. 87(2), pages 179-190, October.
  24. 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.
  25. David Roodman, 2007. "A Note on the Theme of Too Many Instruments," Working Papers 125, Center for Global Development.
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