Econometric Applications of High-Breakdown Robust Regression Techniques

Economics Letters, Volume 71, Issue 1, April 2001, Pages 1-8, ISSN 0165-1765, 10.1016/S0165-1765(00)00404-3

8 Pages Posted: 24 Sep 2012

See all articles by Asad Zaman

Asad Zaman

Al-Nafi; Akhuwat University

Mehmet Orhan

Fatih University - Department of Economics

Peter Rousseeuw

affiliation not provided to SSRN

Date Written: Aoril 15, 2001

Abstract

A literature search shows that robust regression techniques are rarely used in applied econometrics. We present a technique based on Rousseeuw and Van Zomeren (Journal of the American Statistical Association, 85 (1990) 633–639) that removes many of the difficulties in applying such techniques to economic data. We demonstrate the value of these techniques by re-analyzing three OLS-based regressions from the literature.

Keywords: High breakdown estimates, Masking, Robust regression, Outlier, Leverage point, Least trimmed squares (LTS), Minimum covariance determinant (MCD)

JEL Classification: C2, C52

Suggested Citation

Zaman, Asad and Orhan, Mehmet and Rousseeuw, Peter, Econometric Applications of High-Breakdown Robust Regression Techniques (Aoril 15, 2001). Economics Letters, Volume 71, Issue 1, April 2001, Pages 1-8, ISSN 0165-1765, 10.1016/S0165-1765(00)00404-3, Available at SSRN: https://ssrn.com/abstract=2151062

Asad Zaman (Contact Author)

Al-Nafi ( email )

64 Fullerton Crecent
Markham, Ontario L35 3G5
Canada

Akhuwat University ( email )

Lalyani
Ferozepur Road
Kasur, Punjab 55110
Pakistan
55110 (Fax)

HOME PAGE: http://azprojects.wordpress.com

Mehmet Orhan

Fatih University - Department of Economics ( email )

Istanbul
Turkey
+90 212 889 08 10 (Phone)
+ 90 212 889 02 32 (Fax)

Peter Rousseeuw

affiliation not provided to SSRN

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