Difference-in-Differences With a Misclassified Treatment

IF 2.3 3区 经济学 Q2 ECONOMICS
Akanksha Negi, Digvijay S. Negi
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引用次数: 0

Abstract

This paper studies identification and estimation of the average treatment effect of a latent treated subpopulation in difference-in-difference designs when the observed treatment is differentially (or endogenously) mismeasured for the truth. Common examples include misreporting and mistargeting. We propose a two-step estimator that corrects for the empirically common phenomenon of one-sided misclassification in the treatment status. The solution uses a single exclusion restriction embedded in a partial observability probit to point identify the latent parameter. We demonstrate the method by revisiting two large-scale national programs in India: one where pension benefits are underreported and second where the program is mistargeted.

错误分类治疗的差异中的差异
本文研究了当观察到的治疗被差异(或内源性)误测为真实值时,差异中差异设计中潜在治疗亚群的平均治疗效果的识别和估计。常见的例子包括误报和错误定位。我们提出了一个两步估计,纠正了治疗状态中片面错误分类的经验常见现象。该解决方案使用嵌入在部分可观察性概率中的单个排除限制来点识别潜在参数。我们通过重新审视印度的两个大型国家计划来证明这种方法:一个是养老金福利被低估的地方,另一个是计划目标错误的地方。
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来源期刊
CiteScore
3.70
自引率
4.80%
发文量
63
期刊介绍: The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
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