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

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.

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Year of publication:	2002
Authors:	Graybeal, Dale K.
Institutions:	Agricultural and Applied Economics Association - AAEA
Subject:	Resource /Energy Economics and Policy

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Extent:	application/pdf
Series:	2002 Annual meeting, July 28-31, Long Beach, CA.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 2002 Annual meeting, July 28-31, Long Beach, CA Number 19849
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005460316