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Income Inequality, TFP, and Human Capital

  • Sequeira, Tiago
  • Santos, Marcelo
  • Ferreira-Lopes, Alexandra

A fruitful recent theoretical literature has related human capital and technological development with income (and wages) inequality. However, empirical assessments on the relationship are still scarce. We relate human capital and total factor productivity (TFP) with inequality and discover that, when countries are assumed as heterogeneous and dependent cross-sections, human capital is the most robust determinant of inequality, contributing to increase inequality, as predicted by theory. There is evidence of great heterogeneity on the effects of TFP and Openness across countries. These new empirical results open a wide avenue for theoretical research on the country-specific features conditioning the causal relationship from human capital, technology and trade to inequality.

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File URL: http://mpra.ub.uni-muenchen.de/55471/1/MPRA_paper_55471.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 55471.

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Date of creation: 29 Mar 2014
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Handle: RePEc:pra:mprapa:55471
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  1. M. Hashem Pesaran & Elisa Tosetti, 2011. "Large panels with common factors and spatial correlation," Post-Print peer-00796743, HAL.
  2. Cohen, Daniel & Soto, Marcelo, 2001. "Growth and Human Capital: Good Data, Good Results," CEPR Discussion Papers 3025, C.E.P.R. Discussion Papers.
  3. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
  4. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
  5. Eberhardt, Markus & Teal, Francis, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," MPRA Paper 15813, University Library of Munich, Germany.
  6. Westerlund, Joakim, 2005. "Testing for Error Correction in Panel Data," Working Papers 2005:11, Lund University, Department of Economics.
  7. Markus Eberhardt & Andrea F. Presbitero, 2013. "This Time They’re Different: Heterogeneity and Nonlinearity in the Relationship between Debt and Growth," Discussion Papers 2013/10, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
  8. Le Wang, 2013. "How Does Education Affect the Earnings Distribution in Urban China?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 435-454, 06.
  9. Aghion, Philippe & Howitt, Peter & Violante, Giovanni L, 2002. " General Purpose Technology and Wage Inequality," Journal of Economic Growth, Springer, vol. 7(4), pages 315-45, December.
  10. Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute for the Study of Labor (IZA).
  11. M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo Group Munich.
  12. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
  13. Daron Acemoglu, 2000. "Technical Change, Inequality, and the Labor Market," NBER Working Papers 7800, National Bureau of Economic Research, Inc.
  14. Aghion, Philippe & Howitt, Peter & Violante†, Giovanni L., 2002. "General Purpose Technology and Wage Inequality," Scholarly Articles 12490369, Harvard University Department of Economics.
  15. Frederick Solt, 2009. "Standardizing the World Income Inequality Database," Social Science Quarterly, Southwestern Social Science Association, vol. 90(2), pages 231-242.
  16. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
  17. Catalina Gutiérrez & Ryuichi Tanaka, 2009. "Inequality and education decisions in developing countries," Journal of Economic Inequality, Springer, vol. 7(1), pages 55-81, March.
  18. Barro, Robert J, 2000. " Inequality and Growth in a Panel of Countries," Journal of Economic Growth, Springer, vol. 5(1), pages 5-32, March.
  19. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
  20. Birchenall, Javier A., 2001. "Income distribution, human capital and economic growth in Colombia," Journal of Development Economics, Elsevier, vol. 66(1), pages 271-287, October.
  21. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
  22. Ding, Shijun & Meriluoto, Laura & Reed, W. Robert & Tao, Dayun & Wu, Haitao, 2011. "The impact of agricultural technology adoption on income inequality in rural China: Evidence from southern Yunnan Province," China Economic Review, Elsevier, vol. 22(3), pages 344-356, September.
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