Jonathan Roth

Statistics and Probability · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Roth trusts overall

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

  1. Alberto Abadie
  2. David J. McKenzie
  3. Donald B. Rubin
  4. S. Abraham
  5. Pedro H. C. Sant’Anna
  6. James M. Robins
  7. Brantly Callaway
  8. Guido W. Imbens
  9. Andrew Goodman-Bacon
  10. Donald W. K. Andrews

Who trusts Jonathan Roth overall

  1. A. Baker
  2. David F. Larcker
  3. C. Chaisemartin
  4. Charles C. Y. Wang

Papers from Jonathan Roth's perspective

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

  1. Estimating causal effects of treatments in randomized and nonrandomized studies.
  2. Semiparametric Difference-in-Differences Estimators
  3. [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
  4. The central role of the propensity score in observational studies for causal effects
  5. Statistics and Causal Inference
  6. Mostly Harmless Econometrics: An Empiricist's Companion
  7. On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
  8. Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania
  9. Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
  10. How Much Should We Trust Differences-in-Differences Estimates?

Their papers