The Great Growth Debate: A Statistical Look at Mankiw, Romer, and Weil, versus Islam
This paper takes a purely statistical look at two of the most important empirical growth papers authored by Mankiw et al.  and Islam . 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
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Volume (Year): 33 (2005)
Issue (Month): 1 (March)
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References listed on IDEAS
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- 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.
- 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.
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- 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.
- Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 1127-1170. Full references (including those not matched with items on IDEAS)
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