Recreation Nonparticipation as Choice Behavior Rather than Statistical Outcome
11 Pages Posted: 24 Apr 2020
Date Written: February 2008
In recreation demand models nonparticipation is usually estimated as the probability mass on zero demand given a positive level of expected demand and a discrete distribution of demand outcomes. Researchers have attempted to improve predictions of nonparticipation by modifying the parameters of the demand distribution. This study departs from previous approaches by explicitly incorporating nonparticipation into the behavioral model. The choice to participate is described by a distribution of preferences combined with a choke price on individual demands to distinguish participants from nonparticipants. The model is found to accurately predict nonparticipation and the size of the user group.
Keywords: discrete choice analysis, hurdle models, license demand, mixed logit, nonparticipation, recreation demand
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