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Recreational Demand
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Moeltner and Shonkweiler
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This study demonstrates how the joint distribution of a set of conditional trip counts to a system
of recreation-sites can be adjusted for on-site sampling. An econometric approach is proposed that
addresses both the size-biased distribution of the sampled visits and the weighted distribution of
reported visits to ancillary destinations in a multivariate random utility framework. Estimation results
indicate that uncorrected models produce biased estimates of trip counts and welfare measures. The
empirical application examines jet skiing in the Lake Tahoe region.
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Sohngen 2000
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Smith, 2008
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To explore the distinction between state dependence and heterogeneity in repeated decisions, this paper
combines a Mixed Logit model with a state dependence parameterization from the marketing literature to
study fishing location choices of commercial sea urchin divers in California. It examines implications of
ignoring either effect and finds in all cases that true state dependence is an important determinant of
location choice. Consequently, spatial policies like marine reserves can lead to differences in the short- and
long-run behavioral responses of the fishing fleet. Under some specifications, random preference
parameters are statistically significant when state dependence is excluded from the model, but when it is
included, random preference parameters are not significant. In other specifications, including state
dependence only dampens the variability in preference parameters. These results highlight the importance
of gathering and analyzing diary-type data for commercial fisheries as well as for similar choice problems in
recreation demand.
