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

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  • Pang, Arwin

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.

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  • Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    • Handle: RePEc:eee:foreco:v:28:y:2017:i:c:p:12-17
    DOI: 10.1016/j.jfe.2017.04.003
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    2. Ing-Marie Gren & Geoffrey Kerr, 2022. "A Meta-Regression Analysis of Hunters’ Valuations of Recreational Hunting," Sustainability, MDPI, vol. 15(1), pages 1-15, December.

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    More about this item

    Keywords

    Structural equations model; Hunting demand; Bagging probability;
    All these keywords.

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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