This paper examines the properties of Moran's I test for spatial error autocorrelation when endogenous variables are included in the regression specification and estimation is carried out by means of instrumental variables procedures (such as two-stage least squares). The asymptotic distribution...

Formal approaches to assess the validity of spatial theoretical constructs are reviewed and evaluated with respect to their application and potential in spatial econometrics. A distinction is made between specification tests and model selection procedures. For the first, particular emphasis is...

In spatial econometrics, the typical alternative of spatial autocorrelation is expressed in the form of a spatial autorregressive process. While the bulk of the literature is devoted to specification tests and estimation methods for these models, alternatives have been suggested as well. In this...

Modeling the spatial aspect of growth has finally become an important subject of economics as exemplified by the increasing popularity of the new economic geography. However, new economic geography models have still not been able to develop a consistent approach to integrate innovation, space...

The hospital competition literature demonstrates that estimates of the effect of local market structure on competition are sensitive to geographic market definition. Our spatial lag approach effects smoothing of the explanatory variables across the discrete market boundaries. This approach...

This note implements a novel approach to formalizing spatial externalities by employing spatial econometric methods that combine spatial dependence in the form of spatial autoregressive processes and spatial heterogeneity in the form of spatial regimes. The results confirm earlier findings that...