时间就是知识:响应时间揭示了什么

Jean-Michel Benkert, Shuo Liu, Nick Netzer
{"title":"时间就是知识:响应时间揭示了什么","authors":"Jean-Michel Benkert, Shuo Liu, Nick Netzer","doi":"arxiv-2408.14872","DOIUrl":null,"url":null,"abstract":"Response times contain information about economically relevant but unobserved\nvariables like willingness to pay, preference intensity, quality, or happiness.\nHere, we provide a general characterization of the properties of latent\nvariables that can be detected using response time data. Our characterization\ngeneralizes various results in the literature, helps to solve identification\nproblems of binary response models, and paves the way for many new\napplications. We apply the result to test the hypothesis that marginal\nhappiness is decreasing in income, a principle that is commonly accepted but so\nfar not established empirically.","PeriodicalId":501273,"journal":{"name":"arXiv - ECON - General Economics","volume":"143 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time is Knowledge: What Response Times Reveal\",\"authors\":\"Jean-Michel Benkert, Shuo Liu, Nick Netzer\",\"doi\":\"arxiv-2408.14872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Response times contain information about economically relevant but unobserved\\nvariables like willingness to pay, preference intensity, quality, or happiness.\\nHere, we provide a general characterization of the properties of latent\\nvariables that can be detected using response time data. Our characterization\\ngeneralizes various results in the literature, helps to solve identification\\nproblems of binary response models, and paves the way for many new\\napplications. We apply the result to test the hypothesis that marginal\\nhappiness is decreasing in income, a principle that is commonly accepted but so\\nfar not established empirically.\",\"PeriodicalId\":501273,\"journal\":{\"name\":\"arXiv - ECON - General Economics\",\"volume\":\"143 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - ECON - General Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.14872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - ECON - General Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.14872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

响应时间包含与经济相关但未观察到的变量信息,如支付意愿、偏好强度、质量或幸福感。在此,我们提供了利用响应时间数据可以检测到的潜在变量属性的一般描述。我们的表征概括了文献中的各种结果,有助于解决二元响应模型的识别问题,并为许多新应用铺平了道路。我们将这一结果应用于检验边际幸福感随收入递减的假设,这一原则已被普遍接受,但迄今为止尚未在实证中得到证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time is Knowledge: What Response Times Reveal
Response times contain information about economically relevant but unobserved variables like willingness to pay, preference intensity, quality, or happiness. Here, we provide a general characterization of the properties of latent variables that can be detected using response time data. Our characterization generalizes various results in the literature, helps to solve identification problems of binary response models, and paves the way for many new applications. We apply the result to test the hypothesis that marginal happiness is decreasing in income, a principle that is commonly accepted but so far not established empirically.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信