Todd Grindal

Statistics and Probability · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Todd Grindal trusts overall

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

  1. Donald B. Rubin
  2. Joshua D. Angrist
  3. Andrew Gelman
  4. Guido W. Imbens
  5. Alberto Abadie
  6. James J. Heckman
  7. Mark Lipsey
  8. Gregory Camilli
  9. Fabrizia Mealli
  10. Patrick M. Kline

Who trusts Todd Grindal overall

  1. Peng Ding
  2. Susan Athey

Papers from Todd Grindal's perspective

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

  1. [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
  2. Instrumental Variables Estimates Of The Effect Of Subsidized Training On The Quantiles Of Trainee Earnings
  3. Accounting for No-Shows in Experimental Evaluation Designs
  4. Bayesian Inference for Causal Effects: The Role of Randomization
  5. Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Death”
  6. The central role of the propensity score in observational studies for causal effects
  7. Direct and Indirect Causal Effects via Potential Outcomes *
  8. Mostly Harmless Econometrics: An Empiricist's Companion
  9. Statistics and Causal Inference
  10. Semiparametric Difference-in-Differences Estimators

Their papers