单调治疗反应

C. Manski
{"title":"单调治疗反应","authors":"C. Manski","doi":"10.2307/2171738","DOIUrl":null,"url":null,"abstract":"This paper investigates what may be learned about treatment response when it is assumed that response functions are monotone, semimonotone, or concave-monotone. Nothing is assumed about the process of treatment selection and cross-individual restrictions on response are not imposed. The idea is to determine, for every member of the population, the response functions that pass through the realized (treatment, outcome) pair and that are consistent with the assumption imposed. These findings are then aggregated to determine what can be learned about the population distribution of response. The analysis is applied to the econometrics of demand and production.","PeriodicalId":124591,"journal":{"name":"Identification for Prediction and Decision","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"359","resultStr":"{\"title\":\"Monotone Treatment Response\",\"authors\":\"C. Manski\",\"doi\":\"10.2307/2171738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates what may be learned about treatment response when it is assumed that response functions are monotone, semimonotone, or concave-monotone. Nothing is assumed about the process of treatment selection and cross-individual restrictions on response are not imposed. The idea is to determine, for every member of the population, the response functions that pass through the realized (treatment, outcome) pair and that are consistent with the assumption imposed. These findings are then aggregated to determine what can be learned about the population distribution of response. The analysis is applied to the econometrics of demand and production.\",\"PeriodicalId\":124591,\"journal\":{\"name\":\"Identification for Prediction and Decision\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"359\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Identification for Prediction and Decision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2307/2171738\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Identification for Prediction and Decision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/2171738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 359

摘要

本文研究了当假设反应函数为单调、半单调或凹单调时,可能了解到的治疗反应。治疗选择过程没有任何假设,也没有施加对反应的跨个体限制。这样做的目的是确定总体中每个成员的响应函数,该函数通过已实现的(治疗,结果)对,并且与所施加的假设相一致。然后将这些发现汇总起来,以确定可以了解到的关于反应的总体分布的信息。该分析应用于需求和生产的计量经济学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monotone Treatment Response
This paper investigates what may be learned about treatment response when it is assumed that response functions are monotone, semimonotone, or concave-monotone. Nothing is assumed about the process of treatment selection and cross-individual restrictions on response are not imposed. The idea is to determine, for every member of the population, the response functions that pass through the realized (treatment, outcome) pair and that are consistent with the assumption imposed. These findings are then aggregated to determine what can be learned about the population distribution of response. The analysis is applied to the econometrics of demand and production.
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:604180095
Book学术官方微信