On the Least Absolute Deviations Method for Ridge Estimation of SURE Models
Zangin Zeebari and
Ghazi Shukur
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Zangin Zeebari: Department of Economics, Finance and Statistics, Postal: Jönköping International Business School, Sweden
No 69, HUI Working Papers from HUI Research
Abstract:
This paper examines the application of the Least Absolute Deviations (LAD) method for ridge-type parameter estimation of Seemingly Unrelated Regression Equations (SURE) models. The methodology is aimed to deal with the SURE models with non-Gaussian error terms and highly collinear predictors in each equation. Some biasing parameters used in the literature are taken and the efficiency of both Least Squares (LS) ridge estimation and the LAD ridge estimation of the SURE models, through the Mean Squared Error (MSE) of parameter estimators, is evaluated.
Keywords: SURE Models; LAD Estimation; Ridge Regression; Efficiency; Robustness (search for similar items in EconPapers)
JEL-codes: C15 C30 C31 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2012-10-24
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Related works:
Journal Article: On The Least Absolute Deviations Method for Ridge Estimation of Sure Models (2023) 
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