Bruno Ferman

Statistics and Probability · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 55 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 55 citations into it; #4,329 of 12,932 by trust here, #4,517 by citations
• Economics and Econometrics — 50 citations into it; #21,606 of 23,481 by trust here, #21,405 by citations
• Causal Inference & Discovery — 25 citations into it
• Sociology and Political Science — 13 citations into it
• Economics & Operations Research — 11 citations into it
• Political Science and International Relations — 11 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Bruno Ferman trusts overall

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

1. Alberto Abadie
2. Jushan Bai
3. Basque Country
4. Nikolay Doudchenko
5. Guido W. Imbens
6. L. Gobillon
7. A. Diamond
8. Serena Ng
9. Donald W. K. Andrews
10. Kathleen T. Li

Who trusts Bruno Ferman overall

1. Cristine Pinto
2. Eli Ben-Michael
3. Alberto Abadie
4. S. Freyaldenhoven
5. Avi Feller
6. Kathleen T. Li
7. Jesse M. Rothstein
8. Irene Botosaru
9. Christian Hansen
10. James G. MacKinnon

Papers from Bruno Ferman's perspective

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

1. The Economic Costs of Conflict: A Case Study of the
2. Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
3. Inferential Theory for Factor Models of Large Dimensions
4. Regression Shrinkage and Selection via the Lasso
5. The central role of the propensity score in observational studies for causal effects
6. Panel Data Models With Interactive Fixed Effects
7. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
8. [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
9. The asymptotic variance of semiparametric estimators
10. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects

Their papers

• On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls (2019) — 63 citations
• Synthetic controls with imperfect pretreatment fit (2016) — 198 citations
• On the role of covariates in the synthetic control method (2019) — 116 citations
• Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity (2019) — 150 citations
• Placebo Tests for Synthetic Controls (2017) — 48 citations
• Revisiting the synthetic control estimator (2016) — 54 citations