In this paper we consider ML estimation for a broad class of parameter-driven models for discrete dependent variables with spatial correlation. Under this class of models, which includes spatial discrete choice models, spatial Tobit models and spatial count data models, the dependent variable is...

This study applies a novel way of measuring, quantifying and modelling the systemic risk within the financial system. The magnitude of risk spill over effects is gauged by introducing a specific weighting scheme. This approach originally stems from spatial econometrics. The methodology allows...

Inefficient competition in emissions taxes for foreign direct investment creates benefits from international cooperation. In the presence of cross-border pollution, proximate (neighboring) countries have greater incentives to cooperate than distant ones as illustrated by a model of tax...

This paper adopts a search model to examine individual seller’s pricing strategy under two market conditions: first, sellers have reference-dependent utility; second, the housing market is less heterogeneous, such as multi-unit residential market. Acknowledging the fact that units in the same...

This paper tests the feasibility and empirical implications of a spatial econometric model with a full set of interaction effects and weight matrix defined as an equally weighted group interaction matrix applied to research productivity of individuals. We also elaborate two extensions of this...

Recent advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for...

In this paper we provide an applied example for calculating the so-called effects estimates of LeSage and Pace (2009) for partitions of the impacts over space. While the partitioning of the impacts by orders of neighbors over space for the spatial autoregressive (SAR) model is a relatively...

The authors employ spatial econometric techniques and Annual Averages data from the U.S. Bureau of Labor Statistics for 1990-2004 to examine how changes in the minimum wage affect teen employment. Spatial econometric techniques account for the fact that employment is correlated across states....

The current study seeks to provide a sound analysis of the relationship between economic development and species loss in Sub-Saharan African countries. The motivation is that a better understanding of the impact of economic development on species loss is of great relevance, given the current...

Sustainability of agriculture is challenged by increasing sprawl in urban agglomerations. Under increasing agglomeration economies in large and even medium sized cities, more and more soil is being subtracted to agriculture, depriving agricultural activities of its main production factor. The...