Bootstrap Methods for Median Regression Models.

The least-absolute-deviations (LAD) estimator for a median- regression model does not satisfy the standard conditions for obtaining asymptotic refinements through use of the bootstrap because the LAD objective function is not smooth. This paper overcomes this problem by smoothing the objective function so that it becomes differentiable.

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Year of publication:	1996
Authors:	Horowitz, J.
Institutions:	Department of Economics, Tippie College of Business
Subject:	REGRESSION ANALYSIS \| BOOTSTRAP \| EVALUATION

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Series:	Working Papers.
Type of publication:	Book / Working Paper
Notes:	48 pages
Classification:	C13 - Estimation ; C14 - Semiparametric and Nonparametric Methods
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005755370