Testing Attrition Bias in Field Experiments

IF 5.3 1区经济学 Q1 ECONOMICS

Journal of Human Resources Pub Date : 2023-08-11 DOI:10.3368/jhr.0920-11190r2

Dalia Ghanem, Sarojini Hirshleifer, Karen Ortiz-Beccera

引用次数: 0

Abstract

We approach attrition in field experiments with baseline data as an identification problem in a panel model. A systematic review of the literature indicates that there is no consensus on how to test for attrition bias. We establish identifying assumptions for treatment effects for both the respondents and the study population, and propose procedures to test their sharp implications. We then relate our proposed tests to current empirical practice, and demonstrate that the most commonly used test in the literature is not a test of internal validity in general. We illustrate the relevance of our analysis using several empirical applications.

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实地实验中损耗偏差的检验

我们将基线数据作为面板模型中的识别问题来处理现场实验中的磨损问题。对文献的系统回顾表明，在如何测试损耗偏差方面没有达成共识。我们为调查对象和研究人群建立了治疗效果的识别假设，并提出了检验其尖锐含义的程序。然后，我们将我们提出的测试与当前的经验实践联系起来，并证明文献中最常用的测试通常不是内部有效性的测试。我们用几个实证应用来说明我们分析的相关性。

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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来源期刊

Journal of Human Resources Multiple-

CiteScore

7.00

自引率

1.90%

发文量

期刊介绍： The Journal of Human Resources is among the leading journals in empirical microeconomics. Intended for scholars, policy makers, and practitioners, each issue examines research in a variety of fields including labor economics, development economics, health economics, and the economics of education, discrimination, and retirement. Founded in 1965, the Journal of Human Resources features articles that make scientific contributions in research relevant to public policy practitioners.