Quantile Treatment Effects

Statistics and Probability · 2007

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Quantile Treatment Effects trusts overall

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

  1. Guido W. Imbens
  2. James J. Heckman
  3. James M. Robins
  4. Donald B. Rubin
  5. Andrea Rotnitzky
  6. Jinyong Hahn
  7. Alberto Abadie
  8. Charles F. Manski
  9. R. Lalonde
  10. Whitney K. Newey

Who trusts Quantile Treatment Effects overall

  1. Jianqing Fan
  2. Lingzhou Xue
  3. Jiawei Yao

Papers from Quantile Treatment Effects's perspective

Ordered by how strongly the researchers Quantile Treatment Effects 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. Split-Sample Instrumental Variables Estimates of the Return to Schooling
  3. The central role of the propensity score in observational studies for causal effects
  4. Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.
  5. Statistics and Causal Inference
  6. Regression Shrinkage and Selection via the Lasso
  7. Estimating causal effects of treatments in randomized and nonrandomized studies.
  8. VARIETIES OF SELECTION BIAS
  9. INFERENCE AND MISSING DATA
  10. Double/debiased machine learning for treatment and structural parameters

Their papers