A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”

被引:0
作者
Bill Provencher
Rebecca Moore
机构
[1] University of Wisconsin,Department of Ag. & Applied Economics
来源
Environmental and Resource Economics | 2006年 / 34卷
关键词
attitudinal data; heterogeneous preferences; latent class; mixed logit; random parameters; random utility model;
D O I
暂无
中图分类号
学科分类号
摘要
In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new approach to using attitudinal data in latent class modeling. We compare this approach with the one taken in Boxall and Adamowicz (2002), in the context of a discrete choice, random utility framework with heterogeneous preferences. We derive the respective likelihood functions of the two approaches to show that they are structurally similar, and discuss their implications for the use of attitudinal data. We conclude with a discussion comparing the relative merits of latent class and random parameters (mixed logit) modeling, offering the view that as a practical matter, choosing between them depends on the analyst’s judgment about the correlation of preference parameters.
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页码:117 / 124
页数:7
相关论文
共 11 条
[1]  
Morey E.(2006)‘‘Using Angler Characteristic and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model’’ Environment and Resource Economics 34 91-115
[2]  
Thacher J.(2002)‘Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach’ Environmental and Resource Economics 23 421-446
[3]  
Breffle W.(2004)‘Does Accounting for Preference Heterogeneity Improve the Forecasting of a Random Utility Model? A Case Study’ Journal of Environmental Economics and Management 48 793-810
[4]  
Boxall P.(2002)‘A Finite-Mixture Logit Model of Salmon Angling with Serially-Correlated Random Utility’ American Journal of Agricultural Economics 84 1066-1075
[5]  
Adamowicz W.(1998)‘Recreation Demand Models with Taste Differences Over People’ Land Economics 74 230-239
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