This paper develops an estimation strategy for and then applies a spatial autoregressive multinomial probit model to account for both spatial clustering and cross-alternative correlation. Estimation is achieved using Bayesian techniques with Gibbs and the generalized direct sampling (GDS). The...

This paper analyzes county-level firm births across the United States using a spatial count model that permits spatial dependence, cross-correlation among different industry types, and over-dispersion commonly found in empirical count data. Results confirm the presence of spatial autocorrelation...

This paper develops a dynamic spatial general equilibrium model of urban environments to enable more land-use detail, population growth, and change dynamics and applies it to evaluate impacts of land-use externalities and zoning regulations on land-use markets. The new model specification tracks...