| Using instrumental variables for inference about policy relevant treatment parameters M Mogstad, A Santos, A Torgovitsky Econometrica 86 (5), 1589-1619, 2018 | 212 | 2018 |
| Identification of nonseparable models using instruments with small support A Torgovitsky Econometrica 83 (3), 1185-1197, 2015 | 179* | 2015 |
| The causal interpretation of two-stage least squares with multiple instrumental variables M Mogstad, A Torgovitsky, CR Walters American Economic Review 111 (11), 3663-98, 2021 | 142* | 2021 |
| When is tsls actually late? C Blandhol, J Bonney, M Mogstad, A Torgovitsky National Bureau of Economic Research, 2022 | 117 | 2022 |
| Identification and extrapolation of causal effects with instrumental variables M Mogstad, A Torgovitsky Annual Review of Economics 10, 577-613, 2018 | 97 | 2018 |
| Sensitivity analysis in semiparametric likelihood models X Chen, ET Tamer, A Torgovitsky Cowles Foundation Discussion Paper, 2011 | 71 | 2011 |
| Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation M Kellogg, M Mogstad, GA Pouliot, A Torgovitsky Journal of the American Statistical Association 116 (536), 1804-1816, 2021 | 66 | 2021 |
| NONPARAMETRIC INFERENCE ON STATE DEPENDENCE IN UNEMPLOYMENT A TORGOVITSKY Econometrica 87 (5), 1475-1505, 2019 | 66* | 2019 |
| Nonparametric estimates of demand in the california health insurance exchange P Tebaldi, A Torgovitsky, H Yang Econometrica 91 (1), 107-146, 2023 | 58 | 2023 |
| Identification of Instrumental Variable Correlated Random Coefficients Models MA Masten, A Torgovitsky Review of Economics and Statistics, 2016 | 57* | 2016 |
| Partial identification by extending subdistributions A Torgovitsky Quantitative Economics 10 (1), 105-144, 2019 | 40 | 2019 |
| Policy evaluation with multiple instrumental variables M Mogstad, A Torgovitsky, CR Walters Journal of Econometrics, 105718, 2024 | 33 | 2024 |
| Inference for Large‐Scale Linear Systems With Known Coefficients Z Fang, A Santos, AM Shaikh, A Torgovitsky Econometrica 91 (1), 299-327, 2023 | 30 | 2023 |
| Selection in Surveys: Using Randomized Incentives to Detect and Account for Nonresponse Bias D Dutz, I Huitfeldt, S Lacouture, M Mogstad, A Torgovitsky, W van Dijk National Bureau of Economic Research, 2021 | 28 | 2021 |
| Minimum distance from independence estimation of nonseparable instrumental variables models A Torgovitsky Journal of Econometrics 199 (1), 35-48, 2017 | 25 | 2017 |
| ivmte: An R Package for Extrapolating Instrumental Variable Estimates Away From Compliers J Shea, A Torgovitsky Observational Studies 9 (2), 1-42, 2023 | 7* | 2023 |
| ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model D Benson, MA Masten, A Torgovitsky | 4 | 2020 |
| Non-Representativeness in Population Health Research: Evidence from a COVID-19 Antibody Study D Dutz, M Greenstone, A Hortaçsu, S Lacouture, M Mogstad, AM Shaikh, ... American Economic Review: Insights, 0 | 4* | |
| MIVCAUSAL: Stata module for testing the hypothesis about the signs of the 2SLS weights C Lau, A Torgovitsky Boston College Department of Economics, 2020 | 1 | 2020 |
| Selection bias in voluntary random testing: Evidence from a COVID-19 antibody study D Dutz, M Greenstone, A Hortaçsu, S Lacouture, M Mogstad, D Roumis, ... AEA Papers and Proceedings 113, 562-66, 2023 | | 2023 |
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