C. Chaisemartin
Economics and Econometrics · 2015–2021
A researcher in the Science corpus: 6 papers; trusts 74 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 99 citations into it; #7,682 of 23,481 by trust here, #10,133 by citations
- Statistics and Probability — 78 citations into it; #3,376 of 12,932 by trust here, #2,579 by citations
- Sociology and Political Science — 31 citations into it; #3,799 of 22,756 by trust here, #5,814 by citations
- Gender Studies — 16 citations into it
- Accounting — 15 citations into it
- Causal Inference & Discovery — 11 citations into it
- Finance — 10 citations into it
- Demography — 8 citations into it
Whom C. Chaisemartin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles F. Manski
- Alberto Abadie
- Esther Duflo
- Guido W. Imbens
- Joshua D. Angrist
- Andrew Goodman-Bacon
- S. Abraham
- Donald B. Rubin
- Markus Frölich
- Whitney K. Newey
Who trusts C. Chaisemartin overall
- X. d'Haultfoeuille
- Brantly Callaway
- Pedro H. C. Sant’Anna
- Jonathan Roth
- Kirill Borusyak
- Andrew Goodman-Bacon
- Xavier Jaravel
- Brigham R. Frandsen
- A. Bilinski
- Susan Athey
Papers from C. Chaisemartin's perspective
Ordered by how strongly the researchers C. Chaisemartin 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
- Identification of Causal effects Using Instrumental Variables
- Bounds on Treatment Effects from Studies with Imperfect Compliance
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Semiparametric instrumental variable estimation of treatment response models
- Nonparametric Bounds on Treatment Effects
- The asymptotic variance of semiparametric estimators
- [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
- An IV Model of Quantile Treatment Effects
Their papers
- Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2018) — 3,809 citations
- Fuzzy Differences-in-Differences (2015) — 266 citations
- Tolerating defiance? Local average treatment effects without monotonicity (2017) — 109 citations
- Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey (2021) — 585 citations
- Difference-in-Differences Estimators of Intertemporal Treatment Effects (2020) — 505 citations
- Two-way Fixed Effects and Differences-in-Differences Estimators with Several Treatments (2020) — 217 citations