A closer look at the Spatial Durbin Model

Konferenzbeitrag

The spatial Durbin model occupies an interesting position in Spatial Econometrics. It is the reduced form of a model with cross-sectional dependence in the errors, but it may be used, also, as the nesting model in a more general approach of model selection. In the first case, that is the equation where we solve the Likelihood Ratio test of Common Factors. The objective in this case is to discriminate between substantive and residual dependence in a misspecified equation. Its role, when discussing the specification of the model, is also of great value as a way to access either to a static model, to a dynamic model or to a model with residual dependence. Our paper tries to go further into the interpretation of this intermediate equation in both aspects. We include a small Monte Carlo study related to the LR tests and present some new results that expedites the use, and the interpretation, of the Durbin equation in the more general process of econometric model selection in a spatial context.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: 45th Congress of the European Regional Science Association: "Land Use and Water Management in a Sustainable Network Society", 23-27 August 2005, Amsterdam, The Netherlands

Classification and Topics

• Classification: Wirtschaft

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Mur, Jesus ; Angulo, Ana
• Event: Veröffentlichung
• (who): European Regional Science Association (ERSA)
• (where): Louvain-la-Neuve
• (when): 2005

Further information

• Handle: http://hdl.handle.net/10419/117593
• Last update: 10.03.2025, 11:42 AM CET