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• W1489184967 abstract "We investigate into the simulated (Monte Carlo) performance of some LAD-based estimators vis-a-vis that of the LS-based estimators for multi-equation linear econometric models of various error specifications - such as Normal, Cauchy, Gamma, Beta1 and Beta2 - in presence of outliers different in number and size. It is found that in case of models with non-normal disturbances or outlier-infested disturbances, LAD-based estimators outperform the LS-based estimators. In particular, findings on relative performance of Khazzoom (Generalized Indirect Least Squares - GILS) estimator and its LAD variant, Amemiya estimator and LAD-LAD estimator are illuminating." @default.
• W1489184967 created "2016-06-24" @default.
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• W1489184967 date "2003-01-01" @default.
• W1489184967 modified "2023-10-16" @default.
• W1489184967 title "Least Absolute Deviation Estimation of Multi-Equation Linear Econometric Models: A Study Based on Monte Carlo Experiments" @default.
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• W1489184967 doi "https://doi.org/10.2139/ssrn.454880" @default.
• W1489184967 hasPublicationYear "2003" @default.
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