A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available
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A discrete-choice model of the demand for site-specific recreational activities is developed and estimated. It simultaneously predicts both how many trips the individual will take and which site will be chosen on each trip. The model is formulated to estimate demand when the data set reports the total number of trips in a given time period, but the actual destinations for only a subset of the total. The model also includes a correction for sample-selectivity bias. The application is marine recreational fishing. The consumer's surplus associated with any change in supply conditions is derived and used to assess the impact of changes in species availability. 1991.