Volume 84, Issue 4 pp. 1066-1075
Article
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A Finite Mixture Logit Model of Recreational Angling with Serially Correlated Random Utility

Bill Provencher

Bill Provencher

associate professor

Department of Agricultural and Applied Economics at the University of Wisconsin-Madison

The authors thank Peter Berck and two anonymous reviewers for their insightful comments. Research funding was provided by the University of Wisconsin Sea Grant Institute, project number NA86RG0047.

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Kenneth A. Baerenklau

Kenneth A. Baerenklau

professor

Department of Environmental Sciences at the University of California-Riverside

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Richard C. Bishop

Richard C. Bishop

assistant professor in the Department of Agricultural and Applied Economics

University of Wisconsin-Madison

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First published: 01 November 2002
Citations: 73

Abstract

This article examines two issues concerning the trip-taking behavior of recreational anglers over the course of a season. The first is whether the random component of trip utility is serially correlated across trip occasions. The second is the heterogeneity of preferences among anglers. Recent research has examined heterogeneity among recreational trip-takers using random parameters models. In this article, the population of anglers is, instead, cast as a collection of several subpopulations distinguished by angler preferences, and the method of finite mixtures is used to identify these subpopulations.

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