On the Inconsistency of the Ordinary Least Squares Estimator for Spatial Autoregressive Processes

This paper investigates the asymptotic properties of the ordinary least squares estimator for spatial autoregressive models. We show that this estimator is biased as well as inconsistent for the parameters regardless of the distribution of the error term. Illustrative examples are also provided.

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Year of publication:	2000
Authors:	AZOMAHOU, Théophile ; LAHATTE, Agénor
Institutions:	Bureau d'Économie Théorique et Appliquée (BETA), Université de Strasbourg
Subject:	Consistency of OLS estimator \| Spatial processes

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Extent:	application/pdf
Series:	Working Papers of BETA.
Type of publication:	Book / Working Paper
Language:	English
Classification:	C10 - Econometric and Statistical Methods: General. General ; C51 - Model Construction and Estimation
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005230738