Recreation Nonparticipation as Choice Behavior Rather Than Statistical Outcome
Eric English ()
American Journal of Agricultural Economics, 2008, vol. 90, issue 1, 186-196
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. Copyright 2008, Oxford University Press.
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1111/j.1467-8276.2007.01040.x (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:90:y:2008:i:1:p:186-196
Access Statistics for this article
American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu
More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().