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The Great Growth Debate: A Statistical Look at Mankiw, Romer, and Weil, versus Islam

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  • Jeffrey Edwards

Abstract

This paper takes a purely statistical look at two of the most important empirical growth papers authored by Mankiw et al. [1992] and Islam [1995]. MRW claim that the Solow model is justified only when human capital is added to the regression, while Islam claims that cross-country heterogeneity is the actual culprit. In a statistical sense, the author of this study finds that Islam was correct in the fact that mean heterogeneity does exist in MRW’s data. However, after statistical adequacy is achieved, human capital continues to maintain its role as a significant determinant of growth even though the estimates are not robust for one of the two cross-country samples investigated. On the other hand, though Islam’s models were not without statistical problems, they continue to maintain their traditional form and his estimates are robust to respecification. This paper also exemplifies the need for objective statistical testing methods in applied work. Copyright IAES 2005

Suggested Citation

  • Jeffrey Edwards, 2005. "The Great Growth Debate: A Statistical Look at Mankiw, Romer, and Weil, versus Islam," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 33(1), pages 71-92, March.
  • Handle: RePEc:kap:atlecj:v:33:y:2005:i:1:p:71-92
    DOI: 10.1007/s11293-005-1646-z
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    References listed on IDEAS

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    1. Jeffrey Edwards & Anya McGuirk, 2004. "Kuznets Curveball: Missing the Regional Strike Zone," Econ Journal Watch, Econ Journal Watch, vol. 1(2), pages 222-234, August.
    2. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 70(1), pages 65-94.
    3. Durlauf, Steven N. & Kourtellos, Andros & Minkin, Artur, 2001. "The local Solow growth model," European Economic Review, Elsevier, vol. 45(4-6), pages 928-940, May.
    4. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    5. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308 Elsevier.
    6. Barry P. Bosworth & Susan M. Collins, 2003. "The Empirics of Growth: An Update," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 113-206.
    7. 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.
    8. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170.
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    Cited by:

    1. Edwards, Jeffrey A. & Kasibhatla, Krishna, 2009. "Dynamic heterogeneity in cross-country growth relationships," Economic Modelling, Elsevier, vol. 26(2), pages 445-455, March.
    2. Edwards, Jeffrey A. & Al-Hmoud, Rashid & Fawaz, Fadi, 2007. "The effects of HIV/AIDS infections and mortality on saving and investment," MPRA Paper 36308, University Library of Munich, Germany.

    More about this item

    Keywords

    C1; C5; E0; N0; O0;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E0 - Macroeconomics and Monetary Economics - - General
    • N0 - Economic History - - General
    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General

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