Kirill Borusyak
Economics and Econometrics · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 51 citations into it; #7,116 of 23,481 by trust here, #8,853 by citations
- Statistics and Probability — 28 citations into it; #8,693 of 12,932 by trust here, #4,964 by citations
- Sociology and Political Science — 16 citations into it
- General Health Professions — 8 citations into it
Whom Kirill Borusyak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lars Peter Hansen
- Guido W. Imbens
- Alberto Abadie
- C. Chaisemartin
- Susan Athey
- David H. Autor
- Joshua D. Angrist
- Colin Cameron
- Paulo Guimarães
- Licheng Liu
Who trusts Kirill Borusyak overall
- C. Chaisemartin
- X. d'Haultfoeuille
- Brantly Callaway
- Erik Brynjolfsson
- Pedro H. C. Sant’Anna
- Jonathan Roth
- Daron Acemoglu
- Andrew Goodman-Bacon
- A. Baker
- Danielle Li
Papers from Kirill Borusyak's perspective
Ordered by how strongly the researchers Kirill Borusyak trusts endorse each paper. Same corpus, a different order for every researcher.
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- The central role of the propensity score in observational studies for causal effects
- Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
- Statistics and Causal Inference
- A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data (Social Science Research Network)
- Trade Adjustment: Worker Level Evidence (Social Science Research Network)
- How Much Should We Trust Staggered Difference-In-Differences Estimates? (Social Science Research Network)
- Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data
- Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt
- [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
Their papers
- Revisiting Event Study Designs (2017) — 446 citations
- Revisiting event study designs: robust and efficient estimation (2021) — 1,690 citations
- Quasi-Experimental Shift-Share Research Designs (2018) — 901 citations