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