TRUNCATED-AT-ZERO COUNT DATA MODELS WITH PARTIAL OBSERVABILITY: AN APPLICATION TO THE FRESHWATER FISHING DEMAND IN THE SOUTHEASTERN U.S.

dc.creatorBilgic, Abdulbaki
dc.creatorFlorkowski, Wojciech J.
dc.date2017-04-01T13:49:16Z
dc.date.accessioned2026-07-09T04:24:49Z
dc.descriptionWe extend the double-hurdle count data model to account for a joint decision in the first stage in which the individual jointly makes a decision about a participation in fishing and a site (region) selection decision. Contrary to the conventional the double-hurdle count data model, our model discriminates between the effects of non-participant and potential participants (e.g., potential participants are those who participated in fishing but may or may not take a trip to a specific site, the Southeastern U.S.) on the probability of taking a fishing trip.
dc.identifierdoi:10.22004/ag.econ.35185
dc.identifierhttps://ageconsearch.umn.edu/record/35185/files/sp03bi05.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/35185
dc.identifier.urihttp://hdl.handle.net/123456789/549536
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/35185
dc.titleTRUNCATED-AT-ZERO COUNT DATA MODELS WITH PARTIAL OBSERVABILITY: AN APPLICATION TO THE FRESHWATER FISHING DEMAND IN THE SOUTHEASTERN U.S.
dc.typeText

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