Recreation Nonparticipation as Choice Behavior Rather than Statistical Outcome

11 Pages Posted: 24 Apr 2020

Date Written: February 2008

Abstract

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

Suggested Citation

English, Eric, Recreation Nonparticipation as Choice Behavior Rather than Statistical Outcome (February 2008). American Journal of Agricultural Economics, Vol. 90, Issue 1, pp. 186-196, 2008, Available at SSRN: https://ssrn.com/abstract=3583791 or http://dx.doi.org/10.1111/j.1467-8276.2007.01040.x

Eric English (Contact Author)

Stratus Consulting Inc.

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