(DP 1983-04) Regression by Minimum Sum of Absolute Errors: Some Results
UPSE Discussion Papers
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Title |
(DP 1983-04) Regression by Minimum Sum of Absolute Errors: Some Results
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Creator |
Danao, Rolando A.
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Description |
In the multiple regression model y= xƒÒ + ƒÕ, the coefficient vector ƒÒ may be estimated by minimizing the sum of absolute errors (MSAE). This papers shows the following results under MSAE estimation: (1) If k coefficient ƒÒj are nonzeros, then the estimated regression equation accurately predicts at least k observations; (2) As in the case of least squares regression, ƒÒ has an infinite number of estimates in the presence of perfect multicollinearity.
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Publisher |
UPSE Discussion Papers
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Contributor |
—
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Date |
2010-08-31
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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Format |
application/pdf
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Identifier |
http://www.econ.upd.edu.ph/dp/index.php/dp/article/view/309
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Source |
UPSE Discussion Papers; 1983
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Language |
eng
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Relation |
http://www.econ.upd.edu.ph/dp/index.php/dp/article/view/309/368
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