Modeling the impacts of climate change on agriculture presents a complex challenge arising from the wide-ranging processes underlying the working of markets, ecosystems, and human behavior. The analytical framework used in this monograph integrates modeling components that range from the macro...

Fully spatial treatments of discrete choice models are difficult to specify and can be computationally intense. Several "ad hoc" procedures have been proposed in the land use literature to mitigate the potential estimation problems caused by spatial effects. We investigate the consequences of...

A common test for spatial dependence in regression analysis with continuous dependent variables is the Moran's I. For limited dependent variable models, the standard definition of a residual breaks down because yi is qualitative. Efforts to correct for potential spatial effects in limited...

We propose an information-theoretic approach to assess the performance of a discrete choice model used to analyze land use and land use change. We show that our disaggregated measure can be used to compare robustness of predictions across land use categories and across models. Furthermore, a...