T. Deryugina

Economics and Econometrics · 2012–2021

A researcher in the Science corpus: 7 papers; trusts 41 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom T. Deryugina trusts overall

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

  1. Alberto Abadie
  2. Guido W. Imbens
  3. Jonathan Alevy
  4. Hunt Allcott
  5. William Nordhaus
  6. Sendhil Mullainathan
  7. Solomon Hsiang
  8. Colin Cameron
  9. John A. List
  10. Keisuke Hirano

Who trusts T. Deryugina overall

  1. Nora Pankratz
  2. Sascha O. Becker
  3. Christopher M. Schiller
  4. Claudia Lambert
  5. Francesc Ortega
  6. Stephan Heblich
  7. Solomon Hsiang
  8. Patrick Baylis
  9. S. Abraham
  10. B. McFadden

Papers from T. Deryugina's perspective

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

  1. Large Sample Properties of Matching Estimators for Average Treatment Effects
  2. Robust Inference With Multiway Clustering
  3. The central role of the propensity score in observational studies for causal effects
  4. Bias-Corrected Matching Estimators for Average Treatment Effects
  5. [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
  6. Efficient estimation of average treatment effects using the estimated propensity score
  7. Statistics and Causal Inference
  8. Geography and macroeconomics: new data and new findings. (Proceedings of the National Academy of Sciences of the United States of America)
  9. Using Weather Data and Climate Model Output in Economic Analyses of Climate Change (Review of Environmental Economics and Policy)
  10. Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures (Proceedings of the National Academy of Sciences of the United States of America)

Their papers