arXiv 2 Aug 2021 · Econometrics
arXiv:2108.00723 · PDF · DOI · OpenAlex · Extracted main text
This paper considers identification and inference for the distribution of treatment effects conditional on observable covariates. Since the conditional distribution of treatment effects is not point identified without strong assumptions, we obtain bounds on the conditional distribution of treatment effects by using the Makarov bounds. We also consider the case where the treatment is endogenous and propose two stochastic dominance assumptions to tighten the bounds. We develop a nonparametric framework to estimate the bounds and establish the asymptotic theory that is uniformly valid over the support of treatment effects. An empirical example illustrates the usefulness of the methods.
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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.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Firpo, S. and G. Ridder (2019) Partial identification of the treatment effect distribution and its functionals | 1.000 | 6 | 3 | 100% |
| 2 | Fang, Z. and A. Santos (2019) Inference on directionally differentiable functions | 0.909 | 8 | 4 | 75% |
| 3 | Kim, J. H (2018) Partial identification of distributional parameters in triangular systems | 0.874 | 11 | 2 | 100% |
| 4 | Fan, Y. and S. S. Park (2010) Sharp bounds on the distribution of treatment effects and their statistical inference | 0.874 | 9 | 2 | 100% |
| 5 | Chernozhukov, V. and C. Hansen (2004) The effects of 401 (k) participation on the wealth distribution: an instrumental quantile regression analysis | 0.874 | 8 | 2 | 100% |
| 6 | Frandsen, B. R. and L. J. Lefgren (2021) Partial identification of the distribution of treatment effects with an application to the Knowledge is Power Program (KIPP) | 0.874 | 6 | 2 | 100% |
| 7 | Fan, Y. and S. S. Park (2012) Confidence intervals for the quantile of treatment effects in randomized experiments | 0.874 | 5 | 2 | 100% |
| 8 | Blundell, R., A. Gosling, H. Ichimura, and C. Meghir (2007) Changes in the distribution of male and female wages accounting for employment composition using bounds | 0.811 | 4 | 2 | 100% |
| 9 | Manski, C. F (1997) Monotone treatment response | 0.811 | 4 | 2 | 100% |
| 10 | Manski, C. F. and J. V. Pepper (2000) Monotone instrumental variables: With an application to the returns to schooling | 0.811 | 4 | 2 | 100% |
Showing the top 10 of 57 scored citations.
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