利用离散工具和误报治疗*部分识别边际治疗效果

IF 1.5 3区经济学 Q2 ECONOMICS

Oxford Bulletin of Economics and Statistics Pub Date : 2023-12-06 DOI:10.1111/obes.12581

Santiago Acerenza

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引用次数: 0

摘要

本文提供了二元治疗变量可能被误报且工具变量离散时边际治疗效果（MTE）的部分识别结果。识别结果是在平稳性假设下得出的。得出了误报治疗情况和无误报治疗情况的界值。识别结果通过识别食品券对健康的边际治疗效果来说明。

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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Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment*

This paper provides partial identification results for the marginal treatment effect (MTE) when the binary treatment variable is potentially misreported and the instrumental variable is discrete. Identification results are derived under smoothness assumptions. Bounds for both the case of misreported treatment and the case of no misreported treatment are derived. The identification results are illustrated by identifying the marginal treatment effects of food stamps on health.

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来源期刊

Oxford Bulletin of Economics and Statistics 管理科学-统计学与概率论

CiteScore

5.10

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Whilst the Oxford Bulletin of Economics and Statistics publishes papers in all areas of applied economics, emphasis is placed on the practical importance, theoretical interest and policy-relevance of their substantive results, as well as on the methodology and technical competence of the research. Contributions on the topical issues of economic policy and the testing of currently controversial economic theories are encouraged, as well as more empirical research on both developed and developing countries.