Journal of Forest Economics > Vol 28 > Issue 1

Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting

Arwin Pang, , ypang@dragon.nchu.edu.tw
 
Suggested Citation
Arwin Pang (2017), "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting", Journal of Forest Economics: Vol. 28: No. 1, pp 12-17. http://dx.doi.org/10.1016/j.jfe.2017.04.003

Published: 0/8/2017
© 0 2017 Arwin Pang
 
Subjects
 
Keywords
JEL Codes:Q5
Structural equations modelHunting demandBagging probability
 

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In this article:
Introduction
Methodology
Data and results
Conclusion

Abstract

This analysis aims to quantify the effect that the probability of bagging game will have on the demand for recreational hunting. A two equation structural model has been developed which allows the probability of bagging game to be simultaneously entered into the travel cost model. The basic model is based on a Poisson distribution for the travel cost, and a Negative Binomial distribution is used to deal with the issue of overdispersion. Likelihood ratio tests and non-nested model selection tests have been adopted to choose the model which best fits the data. The results show that a Negative Binomial structural model is the best and the probability of bagging game has a significant effect on the travel cost model. The welfare per hunting day is around $300.

DOI:10.1016/j.jfe.2017.04.003