In this research, we propose a framework to connect SWAT model with a dynamic discrete choice based land use model. With the recent years of cropland data layers published by NASS, USDA and data complied from other sources, we apply this framework to land use change in Upper-Mississippi River...

For many environmental problems, economics adaptation will likely be the primary means by which potential damages are avoided. How and by how much humans adapt to environmental risks, therefore, is a question of paramount importance. This paper uses a novel dataset documenting the introduction...

We develop a dynamic factor model for panel data with a short time dimension (i.e. n15). Unlike most of the work in the DFM literature where one common factor is estimated for a group of cross sectional units, our interest lies in the estimation of a latent variable for each cross sectional unit...

Growing econometric and statistical evidence points to high temperature as the main driver of large negative effects of climate change on US agriculture. This literature also suggests a limited role for precipitation in overall impacts. This paper shows this finding stems from the widespread use...

This paper develops an environmental performance index by applying the benefit of the doubt weighting and the Malmquist index concepts using Kuosmanen and Kortelainen’s approaches. The main difference between these approaches and other methods is that environmental performance is based on the...

Discrete choice models are widely used in studies of recreation demand. They have proven valuable when modeling situations where decision makers face large choice sets and site substitution is important. However, when the choice set faced by the individual becomes very large (on the order of...