TREATMENT OF INCOMPLETE AND MISSING COVARIATE INFORMATION IN A BAYESIAN GENERALIZED LINEAR MODEL OF MARINE RECREATIONAL ANGLER'S CHOICE OF FISHING SITE

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dc.creatorGraybeal, Dale K.
dc.date2017-04-01T18:45:09Z
dc.date.accessioned2026-07-09T03:29:12Z
dc.descriptionEconomic surveys often report income via a categorical variable, and income and wage information is often missing altogether for a large fraction of the sample. The Bayesian inferential framework allows one to specify and estimate models for incomplete and missing covariate information. Here multiple choice models of recreational anglers' choice of fishing site are estimated and alternative specifications for incomplete and missing income and wage data are compared.
dc.identifierdoi:10.22004/ag.econ.19849
dc.identifierhttps://ageconsearch.umn.edu/record/19849/files/sp02gr01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/19849
dc.identifier.urihttp://hdl.handle.net/123456789/533379
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/19849
dc.titleTREATMENT OF INCOMPLETE AND MISSING COVARIATE INFORMATION IN A BAYESIAN GENERALIZED LINEAR MODEL OF MARINE RECREATIONAL ANGLER'S CHOICE OF FISHING SITE
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