The Correlation Structure of Spatial Autoregressions

Martellosio, F (2012) The Correlation Structure of Spatial Autoregressions Econometric Theory, 28 (6). pp. 1373-1391.

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Abstract

Least squares estimation has casually been dismissed as an inconsistent estimation method for mixed regressive, spatial autoregressive models with or without spatial correlated disturbances. Although this statement is correct for a wide class of models, we show that, in economic spatial environments where each unit can be influenced aggregately by a significant portion of units in the population, least squares estimators can be consistent. Indeed, they can even be asymptotically efficient relative to some other estimators. Their computations are easier than alternative instrumental variables and maximum likelihood approaches.

Item Type:	Article
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Martellosio, F f.martellosio@surrey.ac.uk
Date :	1 December 2012
DOI :	10.1017/S0266466612000175
Depositing User :	Symplectic Elements
Date Deposited :	16 May 2017 15:15
Last Modified :	24 Jan 2020 14:13
URI:	http://epubs.surrey.ac.uk/id/eprint/818367

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