MAD ABOUT BLUE: AN EMPIRICAL COMPARISON OF MINIMUM ABSOLUTE DEVIATIONS AND ORDINARY LEAST SQUARES ESTIMATES OF CONSUMER SURPLUS

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dc.creatorBingham, Matthew F.
dc.creatorMacNair, Douglas J.
dc.creatorDunford, Richard W.
dc.date2017-04-01T19:46:25Z
dc.date.accessioned2026-07-09T03:33:03Z
dc.descriptionThis research evaluates methods for estimating consumer surplus from recreation demand models. MAD regression and MIMIC structural modeling are the primary tools employed. The results from simulated and actual data indicate that MAD regression outperforms OLS. Additionally, the analysis shows that well-defined, stable benefit-transfer functions can be developed.
dc.identifierdoi:10.22004/ag.econ.20828
dc.identifierhttps://ageconsearch.umn.edu/record/20828/files/spbing01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/20828
dc.identifier.urihttp://hdl.handle.net/123456789/534903
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/20828
dc.titleMAD ABOUT BLUE: AN EMPIRICAL COMPARISON OF MINIMUM ABSOLUTE DEVIATIONS AND ORDINARY LEAST SQUARES ESTIMATES OF CONSUMER SURPLUS
dc.typeText

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