Pedro H. C. Sant’Anna
Statistics and Probability · 2016–2022
A researcher in the Science corpus: 7 papers; trusts 108 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 215 citations into it; #1,789 of 12,932 by trust here, #1,989 by citations
- Economics and Econometrics — 109 citations into it; #4,294 of 23,481 by trust here, #7,262 by citations
- Sociology and Political Science — 28 citations into it
- Causal Inference & Discovery — 25 citations into it
- Gender Studies — 15 citations into it
- General Health Professions — 11 citations into it
- Education — 10 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Pedro H. C. Sant’Anna trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alberto Abadie
- Donald B. Rubin
- Guido W. Imbens
- Juan-Carlos Escanciano
- Joshua D. Angrist
- Stephen G. Donald
- M. D. Cattaneo
- Paul R. Rosenbaum
- B. Sianesi
- James M. Robins
Who trusts Pedro H. C. Sant’Anna overall
- Brantly Callaway
- Jonathan Roth
- C. Chaisemartin
- A. Baker
- Max H. Farrell
- X. d'Haultfoeuille
- David F. Larcker
- Andrew Goodman-Bacon
- Ro’ee Levy
- Eric Zhou
Papers from Pedro H. C. Sant’Anna's perspective
Ordered by how strongly the researchers Pedro H. C. Sant’Anna trusts endorse each paper. Same corpus, a different order for every researcher.
- The central role of the propensity score in observational studies for causal effects
- Statistics and Causal Inference
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
- Efficient estimation of average treatment effects using the estimated propensity score
- Semiparametric instrumental variable estimation of treatment response models
- Semiparametric Difference-in-Differences Estimators
- The asymptotic variance of semiparametric estimators
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Identification of Causal effects Using Instrumental Variables
Their papers
- Doubly robust difference-in-differences estimators (2018) — 835 citations
- Difference-in-Differences with multiple time periods (2018) — 6,124 citations
- Nonparametric Tests for Treatment Effect Heterogeneity With Duration Outcomes (2016) — 38 citations
- Efficient Estimation for Staggered Rollout Designs (2021) — 81 citations
- What’s trending in difference-in-differences? A synthesis of the recent econometrics literature (2022) — 1,521 citations
- Difference-in-Differences with a Continuous Treatment (2021) — 361 citations
- When Is Parallel Trends Sensitive to Functional Form? (2020) — 121 citations