A Query Approach to Modeling Attendance to Attributes in Discrete Choice Experiments

被引：0

作者：

Kemper, Nathan ^{[1
]}

Popp, Jennie ^{[1
,2
]}

Nayga, Rodolfo M. ^{[3
,4
]}

Bazzani, Claudia ^{[5
]}

机构：

[1] Univ Arkansas, Dept Agr Econ & Agribusiness, Fayetteville, AR 72701 USA

[2] Univ Arkansas, Honors Coll, Fayetteville, AR USA

[3] Texas A&M Univ, Dept Agr Econ, College Stn, TX USA

[4] Korea Univ, Dept Food & Resource Econ, Seoul, South Korea

[5] Univ Verona, Dept Business Adm, Verona, Italy

来源：

JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS | 2024年 / 49卷 / 02期

关键词：

attribute nonattendance; discrete choice experiments; genetically modified organisms; query theory; WILLINGNESS-TO-PAY; EYE TRACKING; PREFERENCES; IMPACT;

D O I：

10.22004/ag.econ.338993

中图分类号：

F3 [农业经济];

学科分类号：

0202 ; 020205 ; 1203 ;

摘要：

Overlooking respondents' attribute attendance in choice experiments affects coefficient estimates, model fit, performance measures, and welfare estimates. How best to identify and account for individual attribute processing strategies is still unclear. Query theory suggests that preferences are subject to the processes and dynamics associated with retrieval from memory. We apply Query theory to the study of attendance to attributes to approximate the thoughts generated by individuals while they make choices in a choice experiment. Our results demonstrate that the stated and query approaches improve model fit and performance. The query approach has distinct advantages but also important limitations.

引用

页码：392 / 409

页数：22

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