On the Statistical Significance of Regional Economic Impacts from Recreational Fishing Harvest Limits in Southern Alaska

Daniel K. Lew and Chang K. Seung

Marine Resource Economics, 2014, vol. 29, issue 3, 241 - 257

Abstract: Confidence intervals for regional economic impacts resulting from changes in saltwater sportfishing harvest limits are calculated using a stated preference model of sportfishing participation and a social accounting matrix (SAM) for southern Alaska. Confidence intervals are constructed to account for two types of input variation in impact estimates--sample variation in sportfishing-related expenditures and stochastic variation from parameters in the recreation participation model. For five of six policy scenarios examined, estimated impacts are not statistically different from zero. Tests for differences in estimated impacts between scenarios show that no statistical differences are found whenever stochastic variation is considered (statistical differences occur only when sample variation alone is accounted for). Due to the lack of statistical differences in this case, a comparison of economic impacts does not provide a clear-cut preferred alternative, and consequently other economic and non-economic criteria for evaluating policy scenarios should bear greater weight in policy decisions.

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1086/677759 (application/pdf)
http://dx.doi.org/10.1086/677759 (text/html)
Access to the online full text or PDF requires a subscription.

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: https://EconPapers.repec.org/RePEc:ucp:mresec:doi:10.1086/677759

Access Statistics for this article

More articles in Marine Resource Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().