Alexander Torgovitsky

Statistics and Probability · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Torgovitsky trusts overall

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

  1. Joseph G. Altonji
  2. James J. Heckman
  3. Rosa L. Matzkin
  4. Guido W. Imbens
  5. A. Chesher
  6. Whitney K. Newey
  7. Charles F. Manski
  8. Joshua D. Angrist
  9. Xiaohong Chen
  10. Stefan Hoderlein

Who trusts Alexander Torgovitsky overall

  1. Matthew A. Masten
  2. Martin P. Weidner
  3. T. Armstrong
  4. S. Bonhomme

Papers from Alexander Torgovitsky's perspective

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

  1. Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models
  2. Local polynomial modelling and its applications
  3. Identification in Nonseparable Models
  4. Inference for identifiable parameters in partially identified econometric models
  5. Intersection bounds: estimation and inference
  6. Confidence Sets for Partially Identified Parameters that Satisfy a Finite Number of Moment Inequalities
  7. Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals
  8. Bounds on Parameters in Panel Dynamic Discrete Choice Models
  9. Instrumental Variables Estimates Of The Effect Of Subsidized Training On The Quantiles Of Trainee Earnings
  10. Estimation and Confidence Regions for Parameter Sets in Econometric Models

Their papers