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I Didn't Run a Single Regression

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  • Christian Mueller

Abstract

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 refining the 'testimation' algorithm. To that aim I do not need to run a single regression.

Suggested Citation

  • Christian Mueller, 2006. "I Didn't Run a Single Regression," KOF Working papers 06-128, KOF Swiss Economic Institute, ETH Zurich.
    • Handle: RePEc:kof:wpskof:06-128
    DOI: 10.3929/ethz-a-005118441
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    References listed on IDEAS

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    1. 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.
    2. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    3. Granger, Clive W. J. & Uhlig, Harald F., 1990. "Reasonable extreme-bounds analysis," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 159-170.
    4. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-963, September.
    5. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-313, June.
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    Keywords

    Robust estimation; Growth regression;

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