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

We 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.


Issue Date:
2003
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/35185
Total Pages:
18
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-22

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