Measuring how fish consumption advisories affect angler’s utility has proven difficult. Relying on stated preference (SP) data is problematic because of hypothetical bias. Revealed preference (RP) data benefits from using actual behavior; however, co-linearity often makes it difficult to model...

Deciding how to allocate forage among animals is a fundamentally important process in range management. The wisdom of these decisions can be enhanced by estimating the marginal value of forage needed by competing species. We present a method for ...

Independent applications of open-ended and dichotomous-choice formats are compared using tests of means, estimating joint likelihood functions and nonparametric tests of distributions. The null hypothesis of no difference in the open-ended and dichotomous-choice estimates of central tendency...

This manuscript presents the results of a random utility model that estimates site choice decisions for urban recreators. The model uses data from residents in five northern New Jersey counties that contain some of the most densely populated areas in the United States. In addition to including...

We consider the implications of narrow choice sets on welfare estimation in a random utility model of recreation demand. We hypothesize that careful formulation of the choice set focusing on the sites of policy interest and their closest substitutes will give reasonably accurate welfare...

Random Utility Models are commonly used to model the choice among a set of alternatives. Often, due to data or computational constraints, the analyst must use aggregated alternatives to estimate the model. These aggregates are defined by averaging characteristics of alternatives over...

Random Utility Models are widely applied in studies of recreation demand. The model is particularly useful when the number of recreation sites from which individuals may choose is large. Yet, when the number gets too large, say in the hundreds, estimation becomes burdensome. We present an...