Zaman, Asad and Rousseeuw, Peter J. and Orhan, Mehmet (2000): Econometric applications of high-breakdown robust regression techniques. Published in: Economic Letters , Vol. 71, (2000): pp. 1-8.
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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.
Item Type: | MPRA Paper |
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Original Title: | Econometric applications of high-breakdown robust regression techniques |
Language: | English |
Keywords: | High breakdown estimates; Masking; Robust regression; Outlier; Leverage point; Least trimmed squares (LTS); Minimum covariance determinant (MCD) |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics |
Item ID: | 41529 |
Depositing User: | Asad Zaman |
Date Deposited: | 24 Sep 2012 20:58 |
Last Modified: | 30 Sep 2019 16:50 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/41529 |