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.