No Need to Run Millions of Regressions
AbstractWe argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sala-i-Martin, we use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, we then use reweighted least squares (RLS) for our cross-country growth models. We identify 27 variables that are significantly related to economic growth. Subsequently, applying Sala-i-Martin's approach for the data set without outliers hardly reveals any additional information. Variables that are insignificant according to the RLS method are generally not significantly related to economic growth under the Sala-i-Martin approach.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 288.
Date of creation: 2000
Date of revision:
Sensitivity analysis; outliers; economic growth;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
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.:
- 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.
- Xavier X. Sala-i-Martin, 1997.
"I Just Ran Four Million Regressions,"
NBER Working Papers
6252, National Bureau of Economic Research, Inc.
- de Haan, Jakob & Sturm, Jan-Egbert, 2000.
"On the relationship between economic freedom and economic growth,"
European Journal of Political Economy,
Elsevier, vol. 16(2), pages 215-241, June.
- Haan, Jakob de & Sturm, Jan-Egbert, 1999. "On the relationship between economic freedom and economic growth," CCSO Working Papers 199903, University of Groningen, CCSO Centre for Economic Research.
- Edward E. Leamer, 1982.
"Let's Take the Con Out of Econometrics,"
UCLA Economics Working Papers
239, UCLA Department of Economics.
- Alejandro Diaz-Bautista, 2005. "Convergence and Economic Growth considering Human Capital and R&D Spillovers Convergencia y Crecimiento Economico en Mexico considerando al Capital Humano y derrames en Investigacion y Desarrollo," Urban/Regional 0506012, EconWPA.
- Shahdad Naghshpour, 2009. "Evidence of convergence in Eastern Europe: a quantile regression approach," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 2(2), pages 133-152.
- Sturm, Jan-Egbert, 2001. "Determinants of public capital spending in less-developed countries," CCSO Working Papers 200107, University of Groningen, CCSO Centre for Economic Research.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Julio Saavedra).
If references are entirely missing, you can add them using this form.