The Bias of Elasticity Estimtors in Linear Regression: Some Analytic Results

Using small-disturbance expansions, we derive analytic expressions for the bias of the OLS estimator an elasticity in a linear model, both at an individual sample point and at the sample mean. The magnitudes of these biases are illustrated with Australian expenditure data.

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Year of publication:	2005-12-22
Authors:	Qian, Chen ; Giles, David E.
Institutions:	Department of Economics, University of Victoria
Subject:	Elasticity \| bias \| small-distrurbance asymptotics

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Extent:	application/pdf
Series:	Econometrics Working Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	ISSN 1485-6441 Number 0517 10 pages
Classification:	C14 - Semiparametric and Nonparametric Methods ; C20 - Econometric Methods: Single Equation Models. General ; D12 - Consumer Economics: Empirical Analysis
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005750303