| In this dissertation the per trip and seasonal water based recreation benefits of the Clean Water Act (CWA) are computed utilizing the two stage budgeting approach described in Hausman et al. (1995). These benefits are computed for a set of alternative water pollution scenarios and four recreation types: viewing, boating, fishing, and swimming. A random utility logit model is used in the site choice component of the analysis. In this RUM model a random draw technique proposed by McFadden (1978), and Parsons and Kealy (1992) is used to narrow an individual's choice set. The study also estimates the participation decision with a Poisson count data model. These two stages are estimated separately, but linked through a computed inclusive term.; The data utilized in this analysis comes from the National Water Based Recreation Survey, which was collected in 1994. In addition to this survey instrument, information from the U.S. Census Bureau and the U.S. EPA's Reach File 1 are integral to this study. The Clean Water Act Effects Model developed by researchers at the Research Triangle Institute is also used in the simulations needed in the determination of per trip and seasonal recreational welfare benefits attributable to the Clean Water Act. |
