Brantly Callaway

Statistics and Probability · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 90 citations into it; #2,910 of 12,932 by trust here, #3,038 by citations
• Economics and Econometrics — 67 citations into it; #4,664 of 23,481 by trust here, #7,755 by citations
• Sociology and Political Science — 17 citations into it
• Gender Studies — 8 citations into it
• Education — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Brantly Callaway trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alberto Abadie
2. Pedro H. C. Sant’Anna
3. Donald B. Rubin
4. Juan-Carlos Escanciano
5. Jeffrey M. Wooldridge
6. S. Abraham
7. Victor Chernozhukov
8. Joshua D. Angrist
9. C. Chaisemartin
10. R. D. Blander

Who trusts Brantly Callaway overall

1. C. Chaisemartin
2. Pedro H. C. Sant’Anna
3. Jonathan Roth
4. X. d'Haultfoeuille
5. Ro’ee Levy
6. Eric Zhou
7. Erik Brynjolfsson
8. Andrew Goodman-Bacon
9. Martin Mattsson
10. Dokyun Lee

Papers from Brantly Callaway's perspective

Ordered by how strongly the researchers Brantly Callaway trusts endorse each paper. Same corpus, a different order for every researcher.

1. The central role of the propensity score in observational studies for causal effects
2. Semiparametric instrumental variable estimation of treatment response models
3. The asymptotic variance of semiparametric estimators
4. Efficient estimation of average treatment effects using the estimated propensity score
5. Semiparametric Difference-in-Differences Estimators
6. Statistics and Causal Inference
7. An IV Model of Quantile Treatment Effects
8. Weak Convergence and Empirical Processes: With Applications to Statistics
9. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
10. Estimating causal effects of treatments in randomized and nonrandomized studies.

Their papers

• Difference-in-Differences with multiple time periods (2018) — 6,124 citations
• Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods (2017) — 66 citations
• Difference-in-Differences with a Continuous Treatment (2021) — 361 citations