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IF 2.6 3区经济学 Q1 ECONOMICS

Resource and Energy Economics Pub Date : 2025-04-09 DOI:10.1016/j.reseneeco.2025.101496

Petr Mariel , Alaitz Artabe

引用次数: 0

摘要

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。

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

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.

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来源期刊

Resource and Energy Economics Multiple-

CiteScore

5.40

自引率

0.00%

发文量

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.