Truth and Robustness in Cross-country Growth Regressions
AbstractWe 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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- Kevin D. Hoover & Stephen J. Perez, 2004. "Truth and Robustness in Cross-country Growth Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 765-798, December.
- Kevin Hoover & Harris Dellas, 2003. "Truth and Robustness in Cross-country Growth Regressions," Working Papers 11, University of California, Davis, Department of Economics.
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- O4 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
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- NEP-ALL-2001-04-02 (All new papers)
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