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Nonlinearities in Capital–Skill Complementarity

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  • Chris Papageorgiou
  • Viera Chmelarova

Abstract

This paper uses a novel dataset to test the capital–skill complementarity hypothesis in a cross-section of countries. It is shown that for the full sample there exists evidence in favor of the hypothesis. When we arbitrarily split the full sample into OECD and non-OECD countries, we find no evidence in favor of the hypothesis for the OECD subsample, but strong evidence for the non-OECD subsample. When we use Hansen’s [Econometrica 68 (2000) P. 576] endogenous threshold methodology we find that initial literacy rates and initial per capita output are threshold variables that can cluster countries into three distinct regimes that obey different statistical models. In particular, the regime with moderate initial per capita income but low initial education exhibits substantially higher capital–skill complementarity than the regime with low income and low education and the regime with high education. This cross-country nonlinearity in capital–skill complementarity is consistent with the time-series nonlinearity found by Goldin and Katz [Quarterly Journal of Economics 113 (1998) 693] using U.S. manufacturing data, and promotes the view that the phenomenon maybe a transitory one. Copyright Springer Science+Business Media, Inc. 2005

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File URL: http://hdl.handle.net/10.1007/s10887-005-1113-3
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Bibliographic Info

Article provided by Springer in its journal Journal of Economic Growth.

Volume (Year): 10 (2005)
Issue (Month): 1 (01)
Pages: 55-86

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Handle: RePEc:kap:jecgro:v:10:y:2005:i:1:p:55-86

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Web page: http://www.springerlink.com/link.asp?id=102931

Related research

Keywords: capital–skill complementarity; nonlinearities; parameter heterogeneity; regimes;

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References

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  1. Francesco Caselli & Wilbur John Coleman II, 2000. "The World Technology Frontier," NBER Working Papers 7904, National Bureau of Economic Research, Inc.
  2. Griliches, Zvi, 1969. "Capital-Skill Complementarity," The Review of Economics and Statistics, MIT Press, vol. 51(4), pages 465-68, November.
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  7. Berman, Eli & Bound, John & Griliches, Zvi, 1994. "Changes in the Demand for Skilled Labor within U.S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, MIT Press, vol. 109(2), pages 367-97, May.
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  10. John Duffy & Chris Papageorgiou & Fidel Perez-Sebastian, 2004. "Capital-Skill Complementarity? Evidence from a Panel of Countries," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 327-344, February.
  11. Claudia Goldin & Lawrence F. Katz, 1998. "The Origins Of Technology-Skill Complementarity," The Quarterly Journal of Economics, MIT Press, vol. 113(3), pages 693-732, August.
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  13. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
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  23. Bergstrom, Villy & Panas, Epaminondas E, 1992. "How Robust Is the Capital-Skill Complementarity Hypothesis?," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 540-46, August.
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Citations

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Cited by:
  1. Oded Galor, 2007. "Multiple Growth Regimes-Insights from Unified Growth Theory," Working Papers 2007-8, Brown University, Department of Economics.
  2. Blackburn, Keith & Bose, Niloy & Emranul Haque, M., 2006. "The incidence and persistence of corruption in economic development," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2447-2467, December.
  3. Osipian, Ararat, 2007. "Экономический Рост: Образование Как Фактор Производства
    [Economic Growth: Education as a Factor of Production]
    ," MPRA Paper 7593, University Library of Munich, Germany.
  4. Capolupo, Rosa, 2008. "The New Growth Theories and Their Empirics after Twenty Years," Economics Discussion Papers 2008-27, Kiel Institute for the World Economy.
  5. Michael Stimmelmayr, 2009. "Wage Inequality in Germany: Disentangling Demand and Supply Effects," CESifo Working Paper Series 2802, CESifo Group Munich.
  6. Markus Eberhardt & Francis Teal, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," CSAE Working Paper Series 2009-07, Centre for the Study of African Economies, University of Oxford.
  7. Blackburn, Keith & Forgues-Puccio, Gonzalo F., 2007. "Distribution and development in a model of misgovernance," European Economic Review, Elsevier, vol. 51(6), pages 1534-1563, August.
  8. Daniel J. Henderson, 2009. "A Non-parametric Examination of Capital-Skill Complementarity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 519-538, 08.
  9. Osipian, Ararat, 2008. "Economic Growth—Human Capital Nexus in Post-Soviet Ukraine, 1989-2009," MPRA Paper 7731, University Library of Munich, Germany.
  10. Christian Jaag, 2005. "The Role of Endogenous Skill Choice in an Aging Economy," Public Economics 0505005, EconWPA.
  11. Manuel A. Hidalgo Pérez & Jesús Rodríguez López & José Mª O.Kean Alonso, 2008. "Labor demand and information technologies: evidence for Spain, 1980-2005," Economic Working Papers at Centro de Estudios Andaluces E2008/13, Centro de Estudios Andaluces.
  12. Vito Pipitone & Luciano Seta, 2012. "The Conditional Convergence in TFP Levels. On the Relationship between TFP, Processes of Accumulation and Institutions," Working Papers - Economics wp2012_09.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  13. Areendam Chanda & Beatrice Farkas, 2012. "Appropriate Technology, Human Capital and Development Accounting," Discussion Papers of DIW Berlin 1236, DIW Berlin, German Institute for Economic Research.

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