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Alexander Torgovitsky

Personal Details

First Name:Alexander
Middle Name:
Last Name:Torgovitsky
Suffix:
RePEc Short-ID:pto480
[This author has chosen not to make the email address public]
http://a-torgovitsky.github.io/

Affiliation

Department of Economics
University of Chicago

Chicago, Illinois (United States)
http://economics.uchicago.edu/
RePEc:edi:deuchus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Magne Mogstad & Alexander Torgovitsky, 2024. "Instrumental Variables with Unobserved Heterogeneity in Treatment Effects," RF Berlin - CReAM Discussion Paper Series 2430, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
  2. Magne Mogstad & Alexander Torgovitsky, 2024. "Instrumental Variables with Unobserved Heterogeneity in Treatment Effects," NBER Working Papers 32927, National Bureau of Economic Research, Inc.
  3. Deniz Dutz & Michael Greenstone & Ali Hortaçsu & Santiago Lacouture & Magne Mogstad & Azeem M. Shaikh & Alexander Torgovitsky & Winnie van Dijk, 2023. "Representation and Hesitancy in Population Health Research: Evidence from a COVID-19 Antibody Study," NBER Working Papers 30880, National Bureau of Economic Research, Inc.
  4. Alexander Torgovitsky, 2023. "Instrumental variables with heterogeneous treatment effects," Economics Virtual Symposium 2023 06, Stata Users Group.
  5. Christine Blandhol & John Bonney & Magne Mogstad & Alexander Torgovitsky, 2022. "When is TSLS Actually LATE?," NBER Working Papers 29709, National Bureau of Economic Research, Inc.
  6. Deniz Dutz & Ingrid Huitfeldt & Santiago Lacouture & Magne Mogstad & Alexander Torgovitsky & Winnie van Dijk, 2021. "Selection in Surveys: Using Randomized Incentives to Detect and Account for Nonresponse Bias," NBER Working Papers 29549, National Bureau of Economic Research, Inc.
  7. David A. Benson & Matthew A. Masten & Alexander Torgovitsky, 2020. "ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model," Finance and Economics Discussion Series 2020-046r1, Board of Governors of the Federal Reserve System (U.S.), revised 04 Apr 2022.
  8. Joshua Shea & Alexander Torgovitsky, 2020. "ivmte: An R Package for Implementing Marginal Treatment Effect Methods," Working Papers 2020-01, Becker Friedman Institute for Research In Economics.
  9. Maxwell Kellogg & Magne Mogstad & Guillaume Pouliot & Alexander Torgovitsky, 2020. "Combining Matching and Synthetic Control to Trade off Biases from Extrapolation and Interpolation," NBER Working Papers 26624, National Bureau of Economic Research, Inc.
  10. Zheng Fang & Andres Santos & Azeem M. Shaikh & Alexander Torgovitsky, 2020. "Inference for Large-Scale Linear Systems with Known Coefficients," Papers 2009.08568, arXiv.org, revised Sep 2021.
  11. Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2020. "Policy Evaluation with Multiple Instrumental Variables," Working Papers 2020-99, Becker Friedman Institute for Research In Economics.
  12. Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2019. "The Causal Interpretation of Two-Stage Least Squares with Multiple Instrumental Variables," NBER Working Papers 25691, National Bureau of Economic Research, Inc.
  13. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2019. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," NBER Working Papers 25827, National Bureau of Economic Research, Inc.
  14. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2017. "Using Instrumental Variables for Inference about Policy Relevant Treatment Effects," NBER Working Papers 23568, National Bureau of Economic Research, Inc.
  15. Matthew Masten & Alexander Torgovitsky, 2014. "Instrumental variables estimation of a generalized correlated random coefficients model," CeMMAP working papers 02/14, Institute for Fiscal Studies.
  16. Xiaohong Chen & Elie Tamer & Alexander Torgovitsky, 2011. "Sensitivity Analysis in Semiparametric Likelihood Models," Cowles Foundation Discussion Papers 1836, Cowles Foundation for Research in Economics, Yale University.

Articles

  1. Deniz Dutz & Michael Greenstone & Ali Hortaçsu & Santiago Lacouture & Magne Mogstad & Azeem M. Shaikh & Alexander Torgovitsky & Winnie van Dijk, 2024. "Nonrepresentativeness in Population Health Research: Evidence from a COVID-19 Antibody Study," American Economic Review: Insights, American Economic Association, vol. 6(3), pages 313-323, September.
  2. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
  3. Deniz Dutz & Michael Greenstone & Ali Hortaçsu & Santiago Lacouture & Magne Mogstad & Danae Roumis & Azeem M. Shaikh & Alexander Torgovitsky & Winnie van Dijk, 2023. "Selection Bias in Voluntary Random Testing: Evidence from a COVID-19 Antibody Study," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 562-566, May.
  4. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2023. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," Econometrica, Econometric Society, vol. 91(1), pages 107-146, January.
  5. Zheng Fang & Andres Santos & Azeem M. Shaikh & Alexander Torgovitsky, 2023. "Inference for Large‐Scale Linear Systems With Known Coefficients," Econometrica, Econometric Society, vol. 91(1), pages 299-327, January.
  6. David Benson & Matthew A. Masten & Alexander Torgovitsky, 2022. "ivcrc: An instrumental-variables estimator for the correlated random-coefficients model," Stata Journal, StataCorp LP, vol. 22(3), pages 469-495, September.
  7. Maxwell Kellogg & Magne Mogstad & Guillaume A. Pouliot & Alexander Torgovitsky, 2021. "Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1804-1816, October.
  8. Magne Mogstad & Alexander Torgovitsky & Christopher R. Walters, 2021. "The Causal Interpretation of Two-Stage Least Squares with Multiple Instrumental Variables," American Economic Review, American Economic Association, vol. 111(11), pages 3663-3698, November.
  9. Alexander Torgovitsky, 2019. "Nonparametric Inference on State Dependence in Unemployment," Econometrica, Econometric Society, vol. 87(5), pages 1475-1505, September.
  10. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
  11. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
  12. Magne Mogstad & Alexander Torgovitsky, 2018. "Identification and Extrapolation of Causal Effects with Instrumental Variables," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 577-613, August.
  13. Torgovitsky, Alexander, 2017. "Minimum distance from independence estimation of nonseparable instrumental variables models," Journal of Econometrics, Elsevier, vol. 199(1), pages 35-48.
  14. Matthew A. Masten & Alexander Torgovitsky, 2016. "Identification of Instrumental Variable Correlated Random Coefficients Models," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 1001-1005, December.
  15. Alexander Torgovitsky, 2015. "Identification of Nonseparable Models Using Instruments With Small Support," Econometrica, Econometric Society, vol. 83(3), pages 1185-1197, May.

Software components

  1. David Benson & Matt Masten & Alexander Torgovitsky, 2020. "IVCRC: Stata module to implement the instrumental variables correlated random coefficients estimator," Statistical Software Components S458797, Boston College Department of Economics, revised 06 Dec 2022.
  2. Conroy Lau & Alexander Torgovitsky, 2020. "MIVCAUSAL: Stata module for testing the hypothesis about the signs of the 2SLS weights," Statistical Software Components S458813, Boston College Department of Economics.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Distinct Works, Weighted by Recursive Impact Factor
  2. Number of Distinct Works, Weighted by Number of Authors and Recursive Impact Factors
  3. Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
  4. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
  5. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
  6. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  7. Number of Journal Pages, Weighted by Simple Impact Factor
  8. Number of Journal Pages, Weighted by Recursive Impact Factor
  9. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  10. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 13 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (11) 2011-12-13 2017-07-23 2019-04-01 2019-05-20 2020-01-20 2020-07-27 2020-09-07 2020-10-26 2021-03-01 2022-02-28 2024-10-14. Author is listed
  2. NEP-DCM: Discrete Choice Models (3) 2019-05-20 2020-07-27 2020-10-26
  3. NEP-HEA: Health Economics (2) 2019-05-20 2023-02-20
  4. NEP-ORE: Operations Research (2) 2019-05-20 2020-07-27
  5. NEP-BEC: Business Economics (1) 2019-05-20
  6. NEP-COM: Industrial Competition (1) 2019-05-20
  7. NEP-HRM: Human Capital and Human Resource Management (1) 2022-01-10
  8. NEP-IAS: Insurance Economics (1) 2019-05-20
  9. NEP-IPR: Intellectual Property Rights (1) 2024-10-14
  10. NEP-LAB: Labour Economics (1) 2022-01-10

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