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Assessing Heterogeneity of Treatment Effects

Tetsuya Kaji, Jianfei Cao

arXiv 26 Jun 2023 · Econometrics · 1 citations (OpenAlex)

arXiv:2306.15048 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Heterogeneous treatment effects are of major interest in economics. For example, a poverty reduction measure would be best evaluated by its effects on those who would be poor in the absence of the treatment, or by the share among the poor who would increase their earnings because of the treatment. While these quantities are not identified, we derive nonparametrically sharp bounds using only the marginal distributions of the control and treated outcomes. Applications to microfinance and welfare reform demonstrate their utility even when the average treatment effects are not significant and when economic theory makes opposite predictions between heterogeneous individuals.

Citation extraction

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Bitler, Gelbach and Hoynes (2006) What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments1.000113100%
2Tarozzi, Desai and Johnson (2015) The Impacts of Microcredit: Evidence from Ethiopia1.00063100%
3Chernozhukov, Lee and Rosen (2013) Intersection Bounds: Estimation and Inference0.73732100%
4Heckman, Smith and Clements (1997) Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts0.73732100%
5Fan and Park (2010) Sharp Bounds on the Distribution of Treatment Effects and Their Statistical Inference0.6443267%
6Athey and Imbens (2006) Identification and Inference in Nonlinear Difference-In-Differences Models0.64422100%
7Imbens and Manski (2004) Confidence Intervals for Partially Identified Parameters0.64422100%
8Abadie, Angrist and Imbens (2002) Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings0.51121100%
9Abadie, Chingos and West (2018) Endogenous Stratification in Randomized Experiments0.51121100%
10Tetenov (2012) Identification of Positive Treatment Effects in Randomized Experiments with Non-Compliance0.51121100%

Showing the top 10 of 32 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1An econometrician's guide to optimal transport0.64441
2Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects0.51121
3Policy Learning with Distributional Welfare0.40511
4The Identification Power of Combining Experimental and Observational Data for Distributional Treatment Effect Parameters0.40511