Federal programs may encourage farmers to convert native grasslands—land that has never been cultivated — to production of corn, soybeans, and other crops, leading to potential losses of Northern Plains' native grasslands. Federally subsidized crop insurance reduces risk associated...

Agricultural nonpoint pollution is inherently stochastic (e.g., due to weather). In theory, this randomness has implications for the choice and design of policy instruments. However, very few empirical studies have modeled natural variability. This paper investigates the importance of stochastic...

This report examines evidence on the relationship between agricultural land-use changes, soil productivity, and indicators of environmental sensitivity. If cropland that shifts in and out of production is less productive and more environmentally sensitive than other cropland, policy-induced...

In many OECD countries, including the U.S., interest in developing agri-environmental payment programs is currently strong. In the future, the inclusion of an agri-environmental payment program into the WTO's "green box" could be more easily challenged by WTO member countries on the basis that...

Observando los patrones de desplazamiento entre el lugar de residencia y el lugar de trabajo en 1115 municipios, se realiza un análisis jerárquico de conglomerados para identificar territorios con un alto nivel de interacción económica (Territorios Funcionales). A su vez, se identifica un...

Observando los patrones de desplazamiento entre el lugar de residencia y el lugar de trabajo en 1115 municipios, se realiza un análisis jerárquico de conglomerados para identificar territorios con un alto nivel de interacción económica (Territorios Funcionales). A su vez, se identifica un...

Hedonic pricing models use property value differentials to value changes in environmental quality. If unmeasured quality attributes of residential properties are correlated with an environmental quality measure of interest, conventional methods for estimating implicit prices will be biased....

We empirically compare the accuracy and precision of representative Least Squares, Maximum Likelihood and Bayesian methods of estimation. Using an approach similar to the jackknife, each method is repeatedly applied to subsamples of a data set on the property market in Bogotá, Colombia to...