George R. Parsons and D. Matthew Massey 1. INTRODUCTION The purpose of this chapter is to estimate a random utility maximization (RUM) model of beach recreation and use it to value losses associated with beach closures and beach erosion. Our application is to 62 beaches in the Mid-Atlantic region of the USA. We estimate the model using a random sample of 400 beach users from the state of Delaware. The prominent beaches and the state are shown on the map in Figure 12.1. We estimate a simple multinomial and a mixed logit version of the RUM model. The latter allows us to account for general patterns of substitution among the sites (Train, 1999a). We consider day trips only in this analysis. Both versions of the model originally appeared in Massey (2002). The RUM model is a ‘discrete choice’ travel cost model which considers an individual’s choice of one recreation site from among many possible sites. The model yields per-trip values, which may be used to value sites or characteristics of sites. In our case the sites are beaches. The foundations for the model are found in a series of articles by Daniel McFadden (see McFadden, 1974, 1978, 1981, and 2001). The RUM model was ﬁrst applied to recreation demand by Hanemann (1978) and later developed more fully by Bockstael et al. (1986). The model has been applied to many types of outdoor recreation including ﬁshing, swimming, boating, rock climbing, hunting, viewing, hiking, and so on. There are a number of...
You are not authenticated to view the full text of this chapter or article.
Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.
Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.
Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.