l1 regressions: Gini estimators for fixed effects panel data

被引:5
|
作者
Ka, Ndene [1 ]
Mussard, Stephane [1 ,2 ,3 ,4 ]
机构
[1] Univ Montpellier I, Fac Econ, UMR5474 LAMETA, Av Raymond Dugrand,Site Richter CS, F-34960 Montpellier 2, France
[2] Univ Nimes Hosp, CHROME, Nimes, France
[3] Univ Sherbrooke, GREDI, Sherbrooke, PQ J1K 2R1, Canada
[4] LISER Luxembourg, Luxembourg, Luxembourg
关键词
Gini; panel; regression; U-statistics;
D O I
10.1080/02664763.2015.1103707
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Panel data, frequently employed in empirical investigations, provide estimators being strongly biased in the presence of atypical observations. The aim of this work is to propose a l(1) Gini regression for panel data. It is shown that the fixed effects within-group Gini estimator is more robust than the ordinary least squares one when the data are contaminated by outliers. This semi-parametric Gini estimator is proven to be an U-statistics, consequently, it is asymptotically normal.
引用
收藏
页码:1436 / 1446
页数:11
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