The adoption of new technologies by farmers may impact the environment, and hence affect consumer welfare. This channel of impact is seldom assessed in the literature, especially when the production technologies adopted are not labeled on the consumption goods, and as a result are not directly...

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...

The energy savings from tree shade coincide with peak electricity demand during summer months, creating an opportunity for utilities to use tree protection policies as demand side management tools. We apply a quasi-experimental research design to identify the change in residential energy caused...