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

Dale K. Graybeal

No 19849, 2002 Annual meeting, July 28-31, Long Beach, CA from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: Economic 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.

Keywords: Resource/Energy; Economics; and; Policy (search for similar items in EconPapers)
Pages: 27
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea02:19849

DOI: 10.22004/ag.econ.19849

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