BOOTSTRAPPING YOUR FISH OR FISHING FOR BOOTSTRAPS?: PRECISION OF WELFARE LOSS ESTIMATES FROM A GLOBALLY CONCAVE INVERSE DEMAND MODEL OF COMMERCIAL FISH LANDINGS IN THE U.S. GREAT LAKES

We extend Holt and Bishop'’s (2002) normalized quadratic inverse demand function by obtaining measures of precision of elasticities and consumer welfare loss estimates due to reductions in commercial landings in the U.S. Great Lakes. Even with curvature constraints imposed, confidence intervals are obtained by using the bootstrap, subsample bootstrap, and subsample jackknife.


Issue Date:
2004
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/20272
Total Pages:
23
Note:
Replaced with revised version of paper 06/30/04.
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-24

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