A simulation-based method for testing an abnormally high incidence of specific choice patterns in discrete choice data

IF 3.1 3区 经济学 Q1 ECONOMICS Resource and Energy Economics Pub Date : 2025-05-01 Epub Date: 2025-04-09 DOI:10.1016/j.reseneeco.2025.101496
Petr Mariel , Alaitz Artabe
{"title":"A simulation-based method for testing an abnormally high incidence of specific choice patterns in discrete choice data","authors":"Petr Mariel ,&nbsp;Alaitz Artabe","doi":"10.1016/j.reseneeco.2025.101496","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces a simulation-based method designed to detect unusually high frequencies of specific choice patterns in discrete choice data. Its empirical size and power are then evaluated through a series of simulation exercises. The results show that the empirical size is consistently lower than the assumed theoretical significance level, and that the test power approaches 100 % when the observed choice pattern appears approximately 2.5 times more frequently than expected. The proposed test is applied to a real data set obtained by means of a discrete choice experiment focused on air pollution in South Delhi, India.</div></div>","PeriodicalId":47952,"journal":{"name":"Resource and Energy Economics","volume":"82 ","pages":"Article 101496"},"PeriodicalIF":3.1000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resource and Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092876552500020X","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper introduces a simulation-based method designed to detect unusually high frequencies of specific choice patterns in discrete choice data. Its empirical size and power are then evaluated through a series of simulation exercises. The results show that the empirical size is consistently lower than the assumed theoretical significance level, and that the test power approaches 100 % when the observed choice pattern appears approximately 2.5 times more frequently than expected. The proposed test is applied to a real data set obtained by means of a discrete choice experiment focused on air pollution in South Delhi, India.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种基于模拟的方法,用于测试离散选择数据中特定选择模式的异常高发生率
本文介绍了一种基于模拟的方法,旨在检测离散选择数据中异常高频的特定选择模式。然后通过一系列模拟练习对该方法的经验大小和功率进行了评估。结果表明,经验大小始终低于假定的理论显著性水平,当观察到的选择模式出现的频率约为预期的 2.5 倍时,检验功率接近 100%。提出的检验方法适用于通过离散选择实验获得的真实数据集,该实验重点关注印度南德里的空气污染问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.40
自引率
0.00%
发文量
41
期刊介绍: Resource and Energy Economics provides a forum for high level economic analysis of utilization and development of the earth natural resources. The subject matter encompasses questions of optimal production and consumption affecting energy, minerals, land, air and water, and includes analysis of firm and industry behavior, environmental issues and public policies. Implications for both developed and developing countries are of concern. The journal publishes high quality papers for an international audience. Innovative energy, resource and environmental analyses, including theoretical models and empirical studies are appropriate for publication in Resource and Energy Economics.
期刊最新文献
Aiding recall in self-reported recreation participation: Empirical evidence from seaside trips Incorporating spatial complexity and variability into the design of stated choice experiments for biodiversity policy support On the free allocation of emission rights under endogenous lobby formation Editorial Board The effects of spatial framing and attribute range on the measurement of nonuse values of biodiversity improvements
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1