Finite sample properties of estimators of spatial models with autoregressive, or moving average, disturbances and system feedback

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Fingleton, B. and Le Gallo, J. (2007) Finite sample properties of estimators of spatial models with autoregressive, or moving average, disturbances and system feedback. Annales d'Économie et de Statistique (87/88). pp. 39-62.

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Abstract

This paper extends Kelejian and Prucha's 1998 feasible generalized spatial two-stage least squares (FGS2SLS) estimator to account for endogenous variables due to system feedback, given an autoregressive or a moving average error process. An empirical example illustrating the different estimators is proposed. The finite sample properties of the estimators are investigated by means of Monte-Carlo simulations depending of the sample size, the weights matrix, the presence of cross-equation correlation and the nature of the instruments.

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