Paul Goldsmith-Pinkham
Economics and Econometrics · The American Economic Review · 2010–2021
A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 69 citations into it; #10,354 of 23,481 by trust here, #6,263 by citations
- Statistics and Probability — 37 citations into it
- Sociology and Political Science — 14 citations into it; #9,960 of 22,756 by trust here, #8,438 by citations
- Artificial Intelligence — 12 citations into it
- Causal Inference & Discovery — 8 citations into it
Whom Paul Goldsmith-Pinkham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey R. Kling
- Guido W. Imbens
- David Card
- Alberto Abadie
- Joshua D. Angrist
- Keisuke Hirano
- Fan Li
- Tin Kam Ho
- Susan Athey
- Jeffrey M. Wooldridge
Who trusts Paul Goldsmith-Pinkham overall
- Marius Faber
- Victor Couture
- Gabriel Chodorow-reich
- M. Almunia
- Hyun Song Shin
- Robert M. Bushman
- P. Nenov
- Pol Antràs
- Cecile Gaubert
- Jessie Handbury
Papers from Paul Goldsmith-Pinkham's perspective
Ordered by how strongly the researchers Paul Goldsmith-Pinkham trusts endorse each paper. Same corpus, a different order for every researcher.
- Efficient estimation of average treatment effects using the estimated propensity score
- The central role of the propensity score in observational studies for causal effects
- Random Forests
- [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
- Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania
- Balancing Covariates via Propensity Score Weighting
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Statistics and Causal Inference
- VARIETIES OF SELECTION BIAS
- The Random Subspace Method for Constructing Decision Forests
Their papers
- Bartik Instruments: What, When, Why, and How (2020) — 1,930 citations
- Predictably Unequal? The Effects of Machine Learning on Credit Markets (2020) — 567 citations
- Contamination Bias in Linear Regressions (2021) — 75 citations
- Bad Credit, No Problem? Credit and Labor Market Consequences of Bad Credit Reports (2020) — 116 citations
- Liquidity, Bank Runs and Bailouts: Spillover Effects during the Northern Rock Episode (2010) — 122 citations