APPLICATION OF HURDLE NEGATIVE BINOMIAL COUNT DATA MODEL TO DEMAND FOR BLACK BASS FISHING IN THE SOUTHEASTERN UNITED STATES.
| dc.creator | Bilgic, Abdulbaki | |
| dc.creator | Florkowski, Wojciech J. | |
| dc.date | 2017-04-01T14:33:47Z | |
| dc.date.accessioned | 2026-07-09T04:24:31Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.35079 | |
| dc.identifier | https://ageconsearch.umn.edu/record/35079/files/sp03bi04.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/35079 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/549483 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/35079 | |
| dc.title | APPLICATION OF HURDLE NEGATIVE BINOMIAL COUNT DATA MODEL TO DEMAND FOR BLACK BASS FISHING IN THE SOUTHEASTERN UNITED STATES. | |
| dc.type | Text |