APPLICATION OF HURDLE NEGATIVE BINOMIAL COUNT DATA MODEL TO DEMAND FOR BLACK BASS FISHING IN THE SOUTHEASTERN UNITED STATES

Abdulbaki Bilgic and Wojciech J. Florkowski

No 35079, 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama from Southern Agricultural Economics Association

Abstract: This paper identifies factors that influence the demand for a black bass fishing trip taken in the Southeastern U.S. using a double hurdle negative binomial count data model. The probability of fishing for a black bass is estimated in the first stage and the trip frequency for fishing a black bass is estimated in the second stage given that the individual has a positive probability towards undertaking a black bass fishing trip in the Southeast. The applied approach allows the decomposition of the effects of factors responsible for the decision of taking a fishing trip and the number of trips.

Keywords: Consumer/Household; Economics (search for similar items in EconPapers)
Pages: 17
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:ags:saeatm:35079

DOI: 10.22004/ag.econ.35079

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