Economics at your fingertips  

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

Arwin Pang

Journal of Forest Economics, 2017, vol. 28, issue C, 12-17

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.

Keywords: Structural equations model; Hunting demand; Bagging probability (search for similar items in EconPapers)
JEL-codes: Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from
http://www.elsevier. ... 701775/bibliographic

Access Statistics for this article

Journal of Forest Economics is currently edited by P. Gong and R. Brännlund

More articles in Journal of Forest Economics from Elsevier
Series data maintained by Dana Niculescu ().

Page updated 2018-01-24
Handle: RePEc:eee:foreco:v:28:y:2017:i:c:p:12-17