I didn't run a single regression
Growth regression economics are haunted by the fact that results are easily overthrown by regressing alternative model specifications. Recent research therefore aims at obtaining robust regression results by systematically running multiple models and picking surviving variables. This note shows that a very popular of these approaches, the robust regression due to Sala-i-Martin (1997) very likely leads to inconsistent conclusions but may be remedied by re.ning the ‘testimation’ algorithm. To that aim I do not need to run a single regression.
|Date of creation:||Jan 2006|
|Date of revision:|
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Clive W. J. Granger & Harald F. Uhlig, 1988.
"Reasonable extreme bounds analysis,"
Discussion Paper / Institute for Empirical Macroeconomics
2, Federal Reserve Bank of Minneapolis.
- Barro, R.J., 1989.
"Economic Growth In A Cross Section Of Countries,"
RCER Working Papers
201, University of Rochester - Center for Economic Research (RCER).
- Levine, Ross & Renelt, David, 1991.
"A sensitivity analysis of cross-country growth regressions,"
Policy Research Working Paper Series
609, The World Bank.
- Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-63, September.
- Jan- Sturm & Jakob de Haan, 2005. "Determinants of long-term growth: New results applying robust estimation and extreme bounds analysis," Empirical Economics, Springer, vol. 30(3), pages 597-617, October.
- Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-13, June.
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