In this article we estimate the recreational use value of household trips to view shorebirds during the annual horseshoe crab/shorebird migration on the Delaware Bay. We use contingent valuation to estimate the value of day and overnight trips separately and use a discrete choice question...

We estimated a count data model of recreation demand using data from an on-site survey of recreational birders who had visited southern Delaware during the month–long annual horseshoe crab/shorebird spring migration in 2008. We analyzed daytrips only. Our estimates from the models ranged from...

We are concerned with the definition of choice set used in Random Utility Models of recreation demand. In particular, we are concerned with the spatial boundaries used to define choice sets. In this paper, using a model of day-trip fishing in Maine, we examine the sensitivity of parameter and...

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...

We evaluate the stability of coefficient and willingness to pay (WTP) estimates for recreation services over two time periods. To address this question, we estimate a Random Utility Maximization (RUM) model of recreation demand, using two datasets from different time periods, but concerning the...