Antoine Deeb, Clément de Chaisemartin
arXiv 2 Dec 2019 · Econometrics · 3 citations (OpenAlex)
arXiv:1912.01052 · PDF · DOI · OpenAlex · Extracted main text
The randomization inference literature studying randomized controlled trials (RCTs) assumes that units' potential outcomes are deterministic. This assumption is unlikely to hold, as stochastic shocks may take place during the experiment. In this paper, we consider the case of an RCT with individual-level treatment assignment, and we allow for individual-level and cluster-level (e.g. village-level) shocks. We show that one can draw inference on the ATE conditional on the realizations of the cluster-level shocks, using heteroskedasticity-robust standard errors, or on the ATE netted out of those shocks, using cluster-robust standard errors.
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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 | Cole, S., X. Giné, J. Tobacman, P. Topalova, R. Townsend, and J. Vic… (2013) Barriers to household risk management: Evidence from india | 0.894 | 7 | 3 | 71% |
| 2 | Rosenzweig, M. R. and C. Udry (2019, 03) (2019) External Validity in a Stochastic World: Evidence from Low-Income Countries | 0.874 | 15 | 2 | 100% |
| 3 | Karlan, D., R. Osei, I. Osei-Akoto, and C. Udry (2014) Agricultural decisions after relaxing credit and risk constraints | 0.874 | 9 | 2 | 100% |
| 4 | Neyman, J (1923) On the application of probability theory to agricultural experiments. essay on principles. section 9 | 0.843 | 5 | 3 | 60% |
| 5 | Abadie, A., S. Athey, G. W. Imbens, and J. M. Wooldridge (2020) Sampling-based versus design-based uncertainty in regression analysis | 0.644 | 2 | 2 | 100% |
| 6 | MacKinnon, J. G., M. . Nielsen, and M. D. Webb (2022) Cluster-robust inference: A guide to empirical practice | 0.644 | 2 | 2 | 100% |
| 7 | Abadie, A., S. Athey, G. W. Imbens, and J. Wooldridge (2017) When should you adjust standard errors for clustering? | 0.585 | 3 | 1 | 100% |
| 8 | Liu, R. Y. et al (1988) Bootstrap procedures under some non-iid models | 0.511 | 2 | 2 | 50% |
| 9 | Riddell, C. and C. Riddell (2020) Interpreting experimental evidence in the presence of post-randomization events: A re-assessment of the self sufficiency project | 0.511 | 2 | 1 | 100% |
| 10 | Bo, H. and S. Galiani (2019) Assessing external validity | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 29 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | ASSESSING INFERENCE METHODS | 0.405 | 1 | 1 |
| 2 | Optimal Stratification of Survey Experiments | 0.405 | 1 | 1 |
| 3 | Generalizability with ignorance in mind: learning what we do (not) know for archetypes discovery | 0.405 | 1 | 1 |