A nested logit model of recreational fishing demand in Alaska

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dc.contributor.author Carson, R
dc.contributor.author Hanemann, WM
dc.contributor.author Wegge, TC
dc.date.accessioned 2012-02-02T11:02:30Z
dc.date.issued 2009-01
dc.identifier.citation Marine Resource Economics, 2009, 24 (2), pp. 101 - 129
dc.identifier.issn 0738-1360
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/15740
dc.description.abstract This paper (and the large study behind it) was in some ways a labor of love. We set out to build a discrete choice model to predict recreational fishing behavior that would extend the literature along several dimensions. Our interest in doing so stemmed from earlier work that we were individually or collectively involved in. Hanemanns dissertation (1978)1 suggested the power of the discrete choice random utility model (RUM) to look at a large set of recreational alternatives, in this case beaches in the Boston area, and identify the role that attributes like water quality played in consumer choice behavior.2 Carson worked as a research assistant on a large recreational demand project for Jeff Vaughan and Cliff Russell at Resources for the Future (Vaughan and Russell 1982a,b). This project attempted to expand the travel cost framework to dealing with water quality issues and different types of fishing on a large spatial scale using the 1975 Survey of Hunting, Fishing, and Wildlife-Associated Recreation and a much smaller survey undertaken by the research team aimed at gathering specific information for placing a monetary value on different types of fishing days.
dc.publisher University of Rhode Island, Department of Environmental and Natural Resource Economics
dc.title A nested logit model of recreational fishing demand in Alaska
dc.type Journal Article
dc.parent Marine Resource Economics
dc.journal.volume 2
dc.journal.volume 24
dc.journal.number 2 en_US
dc.publocation United States en_US
dc.identifier.startpage 101 en_US
dc.identifier.endpage 129 en_US
dc.cauo.name BUS.The Dean's Unit en_US
dc.conference Verified OK en_US
dc.for 1403 Econometrics
dc.for 1402 Applied Economics
dc.personcode 100722
dc.percentage 67 en_US
dc.classification.name Econometrics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Travel cost analysis, bioeconomic modeling. en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Business
pubs.organisational-group /University of Technology Sydney/Strength - Study of Choice
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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