This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

I didn't run a single regression

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christian Müller () (KOF Swiss Economic Institute, ETH Zurich)

Additional information is available for the following registered author(s):

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 re.ning the ‘testimation’ algorithm. To that aim I do not need to run a single regression.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://www.kof.ethz.ch/publications/science/pdf/wp_128.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by KOF Swiss Economic Institute, ETH Zurich in its series KOF Working papers with number 06-128.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 13 pages
Date of creation: Jan 2006
Date of revision:
Handle: RePEc:kof:wpskof:06-128

Contact details of provider:
Postal: Weinbergstrasse 35, CH-8092 Z�rich
Phone: +41 44 632 41 28
Fax: +41 44 632 12 18
Email:
Web page: http://www.kof.ethz.ch
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords: robust estimation; growth regression;

Find related papers by JEL classification:
C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

This paper has been announced in the following NEP Reports:

References listed on IDEAS
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.:
  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. [Downloadable!] (restricted)
  2. Granger, Clive W. J. & Uhlig, Harald F., 1990. "Reasonable extreme-bounds analysis," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 159-170. [Downloadable!] (restricted)
    Other versions:
  3. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," NBER Working Papers 3120, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  4. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-13, June.
  5. 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. [Downloadable!] (restricted)
    Other versions:
Full references

Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by encouraging others to use our services.

This page was last updated on 2009-12-1.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.