A Repeated Nested-Logit Model of Atlantic Salmon Fishing


Journal article


Edward Morey, Robert Rowe, Michael Watson
American Journal of Agricultural Economics, vol. 75(3), 1993, pp. 578-592

DOI: https://onlinelibrary.wiley.com/doi/10.2307/1243565

Semantic Scholar DOI
Cite

Cite

APA   Click to copy
Morey, E., Rowe, R., & Watson, M. (1993). A Repeated Nested-Logit Model of Atlantic Salmon Fishing. American Journal of Agricultural Economics, 75(3), 578–592. https://doi.org/https://onlinelibrary.wiley.com/doi/10.2307/1243565


Chicago/Turabian   Click to copy
Morey, Edward, Robert Rowe, and Michael Watson. “A Repeated Nested-Logit Model of Atlantic Salmon Fishing.” American Journal of Agricultural Economics 75, no. 3 (1993): 578–592.


MLA   Click to copy
Morey, Edward, et al. “A Repeated Nested-Logit Model of Atlantic Salmon Fishing.” American Journal of Agricultural Economics, vol. 75, no. 3, 1993, pp. 578–92, doi:https://onlinelibrary.wiley.com/doi/10.2307/1243565.


BibTeX   Click to copy

@article{edward1993a,
  title = {A Repeated Nested-Logit Model of Atlantic Salmon Fishing},
  year = {1993},
  issue = {3},
  journal = {American Journal of Agricultural Economics},
  pages = {578-592},
  volume = {75},
  doi = {https://onlinelibrary.wiley.com/doi/10.2307/1243565},
  author = {Morey, Edward and Rowe, Robert and Watson, Michael}
}

Abstract

Participation and site choice for Atlantic salmon fishing are modeled in the context of a repeated three-level nested-logit model. Consumer's surplus measures are derived for different levels of species availability in the Penobscot River, the most important salmon river in New England. For comparison, six other travel-cost models are estimated. These include restrictive cases of the nested-logit model, a partial demand model, and two single-site demand models. Comparisons across these models indicate the importance of modeling the participation decision, including income effects, and of adopting a nested-logit structure rather than a single-level logit structure.





Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in