Y. Rai

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Rai trusts overall

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

  1. Alberto Abadie
  2. Guido W. Imbens
  3. Bradley Efron
  4. Jeffrey A. Smith
  5. Matias Busso
  6. Petra E. Todd
  7. Donald B. Rubin

Who trusts Y. Rai overall

  1. Kosuke Imai
  2. In Song Kim

Papers from Y. Rai's perspective

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

  1. Bias-Corrected Matching Estimators for Average Treatment Effects
  2. On the Failure of the Bootstrap for Matching Estimators
  3. New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators (Review of Economics and Statistics)
  4. Bootstrap Methods: Another Look at the Jackknife
  5. Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?
  6. [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
  7. The central role of the propensity score in observational studies for causal effects
  8. Statistics and Causal Inference
  9. Male-Female Wage Differentials in Urban Labor Markets
  10. The Role of the Propensity Score in Estimating Dose-Response Functions

Their papers