SPATIAL LAGS AND SPATIAL ERRORS REVISITED: SOME MONTE CARLO EVIDENCE

From a theoretical point of view, a spatial econometric model can contain both a spatially lagged dependent variable (spatial lag) and a spatially autocorrelated error term (spatial error). However, such models are rarely used in practice. This is because (assuming a lattice model approach is used for both the spatial lag and spatial error) the model is difficult to estimate unless the weight matrices are different for the spatial lag and the spatial error.

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Year of publication:	2004
Authors:	Dubin, Robin
Published in:	Spatial and spatiotemporal econometrics. - Bingley, U.K : Emerald, ISBN 978-1-84950-301-3. - 2004, p. 75-98
Subject:	Theorie \| Theory \| Monte-Carlo-Simulation \| Monte Carlo simulation \| Räumliche Interaktion \| Spatial interaction \| Ökonometrie \| Econometrics \| Lag-Modell \| Lag model

Type of publication:	Article
Language:	English
Other identifiers:	10.1016/S0731-9053(04)18002-X [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015388183