Tymon Słoczyński
Statistics and Probability · 2014–2018
A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 51 citations into it; #12,079 of 12,932 by trust here, #7,508 by citations
- Economics and Econometrics — 20 citations into it; #21,248 of 23,481 by trust here, #16,755 by citations
- Causal Inference & Discovery — 9 citations into it
- Sociology and Political Science — 5 citations into it
Whom Tymon Słoczyński trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey M. Wooldridge
- Zhiqiang Tan
- Patrick M. Kline
- M. D. Cattaneo
- Guido W. Imbens
- R. Lalonde
- Alberto Abadie
- James M. Robins
- Markus Frölich
- Victor Chernozhukov
Who trusts Tymon Słoczyński overall
Papers from Tymon Słoczyński's perspective
Ordered by how strongly the researchers Tymon Słoczyński 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
- [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
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models
- Estimation of Regression Coefficients When Some Regressors are not Always Observed
- Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Mostly Harmless Econometrics: An Empiricist's Companion
- A Generalization of Sampling Without Replacement from a Finite Universe
Their papers
- A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS (2014) — 101 citations
- Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights (2018) — 77 citations