Recreation demand models typically incorporate measures of the physical attributes of recreational sites; e.g., Secchi depth or phosphorous levels in case of water quality. Moreover, most studies show that individuals do respond to these physical characteristics in choosing where to recreate....

A Bayesian variable selection procedure is used to control for uncertainty in thespecication of a recreational demand model. In contrast to comparing models basedon the likelihood values with unknown sampling properties (as in, e.g., Egan et al,2009), we propose a model that draws on the...

A commonly observed feature of visitation data, elicited via a survey instrument, is a greaterpropensity for individuals to report trip numbers that are multiples of 5's, relative to otherpossible integers (such as 3 or 6). One explanation of this phenomenon is that some surveyrespondents have...

Random Utility Maximization (RUM) models of recreation demand are typically plaguedby limited information on environmental and other attributes characterizing the available sitesin the choice set. To the extent that these unobserved site attributes are correlated with theobserved characteristics...