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Truth and Robustness in Cross-country Growth Regressions

  • Kevin D. Hoover
  • Stephen J. Perez

We re-examine studies of cross-country growth regressions by Levine and Renelt ("American Economic Review", Vol. 82, 1992, pp. 942-963) and Sala-i-Martin ("American Economic Review", Vol. 87, 1997a, pp. 178-183; Economics Department, Columbia, University, 1997b). In a realistic Monte Carlo experiment, their variants of Edward Leamer's extreme-bounds analysis are compared with a cross-sectional version of the general-to-specific search methodology associated with the LSE approach to econometrics. Levine and Renelt's method has low size and low power, while Sala-i-Martin's method has high size and high power. The general-to-specific methodology is shown to have a near nominal size and high power. Sala-i-Martin's method and the general-to-specific method are then applied to the actual data from Sala-i-Martin's original study. Copyright 2004 Blackwell Publishing Ltd.

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Paper provided by California Davis - Department of Economics in its series Department of Economics with number 01-01.

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Handle: RePEc:fth:caldec:01-01
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