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Alexander Torgovitsky

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Magne Mogstad & Alexander Torgovitsky, 2024. "Instrumental Variables with Unobserved Heterogeneity in Treatment Effects," RFBerlin Discussion Paper Series 2430, ROCKWOOL Foundation Berlin (RFBerlin).

    Cited by:

    1. Mittag, Nikolas, 2025. "OLS with Heterogeneous Coefficients," IZA Discussion Papers 17856, IZA Network @ LISER.
    2. Yuehao Bai & Shunzhuang Huang & Max Tabord-Meehan, 2024. "Sharp Testable Implications of Encouragement Designs," Papers 2411.09808, arXiv.org, revised Nov 2025.
    3. Moslem Rashidi & Luke B. Connelly & Gianluca Fiorentini, 2025. "Preventive Care Disruptions and Emergency Hospitalizations: Evidence from COVID-19 and SHARE," Papers 2512.18342, arXiv.org, revised Feb 2026.

  2. 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.

    Cited by:

    1. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    2. Gazze, Ludovica & Klemick, Heather & Parthum, Bryan & Wolverton, Ann, 2024. "Door Hanger Outreach And Incentives Did Not Induce Water System Customers to Participate in Lead Water Pipe Inspections," National Center for Environmental Economics-NCEE Working Papers 348904, United States Environmental Protection Agency (EPA).

  3. Christine Blandhol & John Bonney & Magne Mogstad & Alexander Torgovitsky, 2022. "When is TSLS Actually LATE?," NBER Working Papers 29709, National Bureau of Economic Research, Inc.

    Cited by:

    1. Antonia K. Entorf & Thomas J. Dohmen, 2025. "The Effect of Compulsory Education on Non-Cognitive Skills: Evidence from Low- and Middle-Income Countries," ECONtribute Discussion Papers Series 357, University of Bonn and University of Cologne, Germany.
    2. Clément de Chaisemartin & Xavier D’haultfœuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Post-Print hal-03873885, HAL.
    3. Chad Fiechter & Binayak Kunwar & Guy Tchuente, 2024. "Monetary Incentives, Landowner Preferences: Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy," Papers 2411.10600, arXiv.org.
    4. Manudeep Bhuller & Henrik Sigstad, 2022. "2SLS with Multiple Treatments," Papers 2205.07836, arXiv.org, revised May 2024.
    5. Tymon S{l}oczy'nski & S. Derya Uysal & Jeffrey M. Wooldridge, 2022. "Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect," Papers 2204.07672, arXiv.org, revised Feb 2024.
    6. Julian Costas-Fernandez & Simon Lodato, 2023. "Distributional effects of immigration and imperfect labour markets," RFBerlin Discussion Paper Series 2301, ROCKWOOL Foundation Berlin (RFBerlin).
    7. Denni Tommasi & Lina Zhang, 2024. "Identifying program benefits when participation is misreported," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1123-1148, September.
    8. Robert Collinson & Deniz Dutz & John Eric Humphries & Nicholas Mader & Daniel Tannenbaum & Winnie van Dijk, 2025. "The Effects of Eviction on Children," Working Papers 25-34, Center for Economic Studies, U.S. Census Bureau.
    9. Vod Vilfort & Whitney Zhang, 2023. "Interpreting TSLS Estimators in Information Provision Experiments," Papers 2309.04793, arXiv.org, revised Jun 2024.
    10. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    11. Black, Bernard & French, Eric & McCauley, Jeremy & Song, Jae, 2024. "The effect of disability insurance receipt on mortality," Journal of Public Economics, Elsevier, vol. 229(C).
    12. Santiago Torres, 2023. "Close Elections Regression Discontinuity Designs in Multi-seat Systems," Documentos CEDE 20292, Universidad de los Andes, Facultad de Economía, CEDE.
    13. Sho Miyaji, 2024. "Two-way fixed effects instrumental variable regressions in staggered DID-IV designs," Papers 2405.16467, arXiv.org.
    14. Michael P. Leung, 2024. "Identifying Treatment and Spillover Effects Using Exposure Contrasts," Papers 2403.08183, arXiv.org, revised Dec 2025.
    15. Santiago Acerenza & Julian Martinez-Iriarte & Alejandro S'anchez-Becerra & Pietro Emilio Spini, 2025. "Bounds for within-household encouragement designs with interference," Papers 2503.14314, arXiv.org.
    16. Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
    17. Antonio Ciccone & Jan Nimczik, 2024. "Market Size and Spatial Growth—Evidence From Germany’s Post-war Population Expulsions: A Comment," CRC TR 224 Discussion Paper Series crctr224_2024_579, University of Bonn and University of Mannheim, Germany.
    18. Hener, Timo, 2022. "Noise pollution and violent crime☆," Journal of Public Economics, Elsevier, vol. 215(C).
    19. Jonathan Cohen & Geoffrey C. Schnorr, 2024. "Efficiency Costs of Unemployment Insurance Denial: Evidence from Randomly Assigned Examiners," Upjohn Working Papers 24-404, W.E. Upjohn Institute for Employment Research.
    20. Qu Feng & Sombut Jaidee & Wenjie Wang, 2025. "Robust Inference with High-Dimensional Instruments," Papers 2506.23834, arXiv.org.
    21. Liang Jiang & Oliver B. Linton & Haihan Tang & Yichong Zhang, 2022. "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Papers 2201.13004, arXiv.org, revised Jun 2023.
    22. Jeffrey Clemens & Philip G. Hoxie & Stan Veuger, 2022. "Was Pandemic Fiscal Relief Effective Fiscal Stimulus? Evidence from Aid to State and Local Governments," NBER Working Papers 30168, National Bureau of Economic Research, Inc.
    23. Chuan, Amanda & Zhang, Weilong, 2023. "Non-college Occupations, Workplace Routinization, and the Gender Gap in College Enrollment," IZA Discussion Papers 16089, IZA Network @ LISER.
    24. Altmejd, Adam, 2023. "Inheritance of fields of study," Working Paper Series 2023:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    25. Nadav Kunievsky, 2025. "Linear Regression in a Nonlinear World," Papers 2512.13645, arXiv.org.
    26. Moses Stewart, 2025. "Constructing an Instrument as a Function of Covariates," Papers 2503.10929, arXiv.org, revised Jun 2025.
    27. Dennis Lim & Wenjie Wang & Yichong Zhang, 2024. "A Dimension-Agnostic Bootstrap Anderson-Rubin Test For Instrumental Variable Regressions," Papers 2412.01603, arXiv.org, revised Sep 2025.
    28. Lüthi, Samuel, 2025. "Classroom versus workbench: The impact of firm-based learning on labour market and educational outcomes," Economics of Education Review, Elsevier, vol. 109(C).
    29. Zhu, Rong & Onur, Ilke, 2023. "Does retirement (really) increase informal caregiving? Quasi-experimental evidence from Australia," Journal of Health Economics, Elsevier, vol. 87(C).
    30. Zhao, Linan & Chen, Yanru & Wahab, M.I.M., 2025. "The impact of low-altitude airspace opening policy on aviation manufacturing innovation: A double machine learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
    31. Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2022. "Contamination Bias in Linear Regressions," Working Papers 2022-15, Princeton University. Economics Department..
    32. Altmejd, Adam & Jansson, Thomas & Karabulut, Yigitcan, 2024. "Business Education and Portfolio Returns," IZA Discussion Papers 16976, IZA Network @ LISER.
    33. Luca Locher & Mats J. Stensrud & Aaron L. Sarvet, 2025. "Interpretational errors with instrumental variables," Papers 2509.02045, arXiv.org.
    34. Morlet, Guillaume & Dang, Thi Kim Dung & Anderson, Mirinda, 2025. "A Comment on "College Enrollment and Mandatory FAFSA Applications: Evidence from Louisiana"," I4R Discussion Paper Series 218, The Institute for Replication (I4R).
    35. Vod Vilfort & Whitney Zhang, 2025. "Interpreting TSLS Estimators in Information Provision Experiments," American Economic Review: Insights, American Economic Association, vol. 7(3), pages 376-395, September.
    36. Luigi Garzon & Vitor Possebom, 2025. "Nonlinear Treatment Effects in Shift-Share Designs," Papers 2507.21915, arXiv.org, revised Nov 2025.
    37. Luis Antonio Fantozzi Alvarez & Rodrigo Toneto, 2024. "The interpretation of 2SLS with a continuous instrument: a weighted LATE representation," Working Papers, Department of Economics 2024_11, University of São Paulo (FEA-USP).
    38. Anna Mikusheva & Liyang Sun, 2023. "Weak Identification with Many Instruments," Papers 2308.09535, arXiv.org, revised Jan 2024.
    39. Juan Pablo González, 2025. "Environmental regulation, regulatory spillovers and rent-seeking," Public Choice, Springer, vol. 202(1), pages 217-250, January.

  4. 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.

    Cited by:

    1. Carrasco, Raquel & González González, Diego, 2024. "The impact of obesity on human capital accumulation: exploring the driving factors," UC3M Working papers. Economics 43822, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Frikk Nesje & Robert C. Schmidt & Moritz A. Drupp, 2025. "Designing Carbon Pricing Policies Across the Globe," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(12), pages 3585-3616, December.
    3. Shaun Gilyard & Scott Schuh, 2025. "Daily Consumption Smoothing? New Evidence from a Payment Diary," Working Papers 25-04, Department of Economics, West Virginia University.
    4. Xiaozi Liu & Henrik Lindhjem & Kristine Grimsrud & Einar Leknes & Endre Tvinnereim, 2023. "Is there a generational shift in preferences for forest carbon sequestration vs. preservation of agricultural landscapes?," Climatic Change, Springer, vol. 176(9), pages 1-22, September.
    5. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.

  5. 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.

    Cited by:

    1. Shengli Dai & Weimin Zhang & Linshan Lan, 2022. "Quantitative Evaluation of China’s Ecological Protection Compensation Policy Based on PMC Index Model," IJERPH, MDPI, vol. 19(16), pages 1-24, August.
    2. Fusejima, Koki, 2024. "Identification of multi-valued treatment effects with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).
    3. Denni Tommasi & Lina Zhang, 2024. "Identifying program benefits when participation is misreported," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1123-1148, September.
    4. Hoshino Tadao & Yanagi Takahide, 2022. "Estimating marginal treatment effects under unobserved group heterogeneity," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 197-216, January.
    5. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    6. Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
    7. Krakowski, Krzysztof & Ronconi, Lucas, 2025. "Compliance and accountability-seeking: Evidence from a field experiment in Argentina," Journal of Development Economics, Elsevier, vol. 175(C).
    8. Stephen Coussens & Jann Spiess, 2021. "Improving Inference from Simple Instruments through Compliance Estimation," Papers 2108.03726, arXiv.org.
    9. Máté Kormos & Robert P. Lieli & Martin Huber, 2025. "Interacting Treatments With Endogenous Takeup," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(4), pages 424-437, June.
    10. Semenova, Vira, 2025. "Generalized Lee bounds," Journal of Econometrics, Elsevier, vol. 251(C).
    11. Leonard Goff, 2024. "When does IV identification not restrict outcomes?," Papers 2406.02835, arXiv.org, revised Feb 2025.
    12. Martinez-Iriarte, Julian & Sun, Yixiao, 2024. "Identification and estimation of unconditional policy effects of an endogenous binary treatment: An unconditional MTE approach," Journal of Econometrics, Elsevier, vol. 244(1).
    13. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    14. Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org, revised Jan 2026.
    15. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics, revised 20 Jan 2025.
    16. Ravi B. Sojitra & Vasilis Syrgkanis, 2024. "Dynamic Local Average Treatment Effects," Papers 2405.01463, arXiv.org, revised May 2025.
    17. Mustafa Özer & Jan Fidrmuc, 2024. "Does Immigration Affect the Natives’ Mental Health? Causal Evidence from Forced Syrian Migration to Turkey," CESifo Working Paper Series 11399, CESifo.
    18. Bhuller, Manudeep & Sigstad, Henrik, 2024. "2SLS with multiple treatments," Journal of Econometrics, Elsevier, vol. 242(1).
    19. Niklas Bengtsson & Per Engstrom, 2026. "The Cascade Identity: 2SLS as a Policy Parameter in Capacity-Constrained Settings," Papers 2603.21917, arXiv.org, revised Apr 2026.
    20. Deniz Dutz & Ingrid Huitfeldt & Santiago Lacouture & Magne Mogstad & Alexander Torgovitsky & Winnie van Dijk, 2025. "Selection in Surveys: Using Randomized Incentives to Detect and Account for Nonresponse Bias," Cowles Foundation Discussion Papers 2451, Cowles Foundation for Research in Economics, Yale University.
    21. Jiafeng Chen, 2021. "Nonparametric Treatment Effect Identification in School Choice," Papers 2112.03872, arXiv.org, revised Dec 2025.
    22. Zhang, Xiaoman & Cheng, Xu & Qi, Xia & Yang, Kun & Zhao, Zhenyu, 2024. "Evaluation of China's double-carbon energy policy based on the policy modeling consistency index," Utilities Policy, Elsevier, vol. 90(C).

  6. 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.

    Cited by:

    1. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    2. James Kai-sing Kung & Alina Wang, 2026. "Overseas students, ideology, and the fall of dynastic China," Journal of Economic Growth, Springer, vol. 31(1), pages 1-40, March.
    3. Paul Carrillo & Dave Donaldson & Dina Pomeranz & Monica Singhal, 2023. "Misallocation in Firm Production: A Nonparametric Analysis Using Procurement Lotteries," CESifo Working Paper Series 10485, CESifo.
    4. Jean-Joseph Minviel & Marc Benoit & Laure Latruffe, 2025. "Environmental and technical efficiency of French suckler sheep farms under pollution-generating technologies: A multi-equation stochastic frontier approach using infometrics," Post-Print hal-05104134, HAL.

  7. 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.

    Cited by:

    1. Tadao Hoshino & Takahide Yanagi, 2020. "Estimating Marginal Treatment Effects under Unobserved Group Heterogeneity," Papers 2001.09560, arXiv.org, revised May 2022.
    2. 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.

  8. 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.

    Cited by:

    1. Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
    2. Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Apr 2026.
    3. Jiaming Mao & Jingzhi Xu, 2020. "Ensemble Learning with Statistical and Structural Models," Papers 2006.05308, arXiv.org.
    4. Sondermann, David & Lehtimäki, Jonne, 2020. "Baldwin vs. Cecchini revisited: the growth impact of the European Single Market," Working Paper Series 2392, European Central Bank.
    5. Roberta Di Stefano & Giovanni Mellace, 2020. "The inclusive synthetic control method," Working Papers 21/20, Sapienza University of Rome, DISS.
    6. Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.
    7. Clark, Robert & Fabiilli, Christopher & Lasio, Laura, 2022. "Collusion in the US generic drug industry," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    8. Jonne Lehtimäki & David Sondermann, 2022. "Baldwin versus Cecchini revisited: the growth impact of the European Single Market," Empirical Economics, Springer, vol. 63(2), pages 603-635, August.
    9. Brantly Callaway & Tong Li, 2021. "Policy Evaluation during a Pandemic," Papers 2105.06927, arXiv.org, revised Oct 2022.

  9. 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.

    Cited by:

    1. Qihui Chen & Zheng Fang & Ruixuan Liu, 2025. "Debiased Bayesian Inference for High-dimensional Regression Models," Papers 2512.09257, arXiv.org.
    2. Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org, revised Nov 2024.
    3. Khushboo Surana, 2025. "How different are we? Identifying the degree of revealed preference heterogeneity," Discussion Papers 25/03, Department of Economics, University of York.
    4. Vira Semenova, 2023. "Debiased Machine Learning of Aggregated Intersection Bounds and Other Causal Parameters," Papers 2303.00982, arXiv.org, revised May 2025.
    5. Santiago Acerenza & Julian Martinez-Iriarte & Alejandro S'anchez-Becerra & Pietro Emilio Spini, 2025. "Bounds for within-household encouragement designs with interference," Papers 2503.14314, arXiv.org.
    6. Florian F Gunsilius, 2025. "A primer on optimal transport for causal inference with observational data," Papers 2503.07811, arXiv.org, revised Mar 2025.
    7. Yuehao Bai & Shunzhuang Huang & Sarah Moon & Azeem M. Shaikh & Edward J. Vytlacil, 2024. "On the Identifying Power of Generalized Monotonicity for Average Treatment Effects," Papers 2405.14104, arXiv.org, revised Nov 2025.
    8. Turansick, Christopher, 2025. "An alternative approach for nonparametric analysis of random utility models," Journal of Economic Theory, Elsevier, vol. 226(C).
    9. Ricardo E. Miranda, 2026. "On the falsification of instrumental variable models for heterogeneous treatment effects," Papers 2601.14464, arXiv.org.
    10. Leonard Goff & Eric Mbakop, 2025. "Inference on the value of a linear program," Papers 2506.06776, arXiv.org, revised Jun 2025.
    11. Harold D. Chiang & Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs," Papers 2102.06586, arXiv.org.
    12. Shosei Sakaguchi, 2025. "The Identification Power of Combining Experimental and Observational Data for Distributional Treatment Effect Parameters," Papers 2508.12206, arXiv.org, revised Apr 2026.
    13. Allen, Roy & Rehbeck, John, 2022. "Latent complementarity in bundles models," Journal of Econometrics, Elsevier, vol. 228(2), pages 322-341.
    14. Cox, Gregory Fletcher, 2025. "Weak identification with bounds in a class of minimum distance models," Journal of Econometrics, Elsevier, vol. 252(PA).

  10. 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.

    Cited by:

    1. Vilhuber, Lars, 2023. "Reproducibility and transparency versus privacy and confidentiality: Reflections from a data editor," Journal of Econometrics, Elsevier, vol. 235(2), pages 2285-2294.
    2. Sinha, Aashima & Kumar Sedai, Ashish & Bahadur Rahut, Dil & Sonobe, Tetsushi, 2024. "Well-being costs of unpaid care: Gendered evidence from a contextualized time-use survey in India," World Development, Elsevier, vol. 173(C).
    3. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    4. Kostøl, Andreas Ravndal & Merkle, Matthew C. & Grindaker, Morten, 2024. "Layoff Costs and Learning about Employer Financial Distress," IZA Discussion Papers 17340, IZA Network @ LISER.
    5. Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2025. "A practical guide to shift-share instruments," LSE Research Online Documents on Economics 127403, London School of Economics and Political Science, LSE Library.
    6. Ludgero Glorias & Federico Martellosio & J. M. C. Santos Silva, 2025. "Nonparametric "rich covariates" without saturation," Papers 2505.21213, arXiv.org, revised Jul 2025.
    7. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    8. Robert A. Moffitt & Matthew V. Zahn, 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Papers 2202.03413, arXiv.org.
    9. Sokbae Lee & Bernard Salani'e, 2020. "Treatment Effects with Targeting Instruments," Papers 2007.10432, arXiv.org, revised Jan 2026.
    10. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Papers 2021-04, Centre for Health Economics, Monash University.
    11. Hongyi Jiang & Zhenting Sun, 2023. "Testing Partial Instrument Monotonicity," Papers 2308.08390, arXiv.org, revised Aug 2023.
    12. Mingjia XIE & Ting YIN & Yi ZHANG & Takashi OSHIO, 2022. "The Hidden Cost of Having More Children: The Impact of Fertility on the Elderly's Healthcare Utilization," Discussion papers 22033, Research Institute of Economy, Trade and Industry (RIETI).
    13. Yang, Chenzi & Si, Deng-Kui & Moreira, Fernando & Archibald, Thomas Welsh, 2025. "The impact of community banks’ innovation on regulatory choices," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 1627-1644.
    14. Manudeep Bhuller & Henrik Sigstad, 2022. "2SLS with Multiple Treatments," Papers 2205.07836, arXiv.org, revised May 2024.
    15. Zichen Deng & Maarten Lindeboom, 2022. "Early‐life famine exposure, hunger recall, and later‐life health," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 771-787, June.
    16. Basu, Arnab K. & Byambasuren, Tsenguunjav & Chau, Nancy H. & Khanna, Neha, 2024. "Cooking fuel choice and child mortality in India," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 240-265.
    17. Khadijah Iddrisu & Joshua Yindenaba Abor & Kannyiri T. Banyen, 2024. "Financial development, globalisation and foreign direct investment nexus: an empirical study from Africa," SN Business & Economics, Springer, vol. 4(6), pages 1-31, June.
    18. Fusejima, Koki, 2024. "Identification of multi-valued treatment effects with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).
    19. Goff, Leonard, 2024. "A vector monotonicity assumption for multiple instruments," Journal of Econometrics, Elsevier, vol. 241(1).
    20. Nadja van 't Hoff, 2023. "Identifying Causal Effects of Discrete, Ordered and ContinuousTreatments using Multiple Instrumental Variables," Papers 2311.17575, arXiv.org, revised Oct 2024.
    21. Denni Tommasi & Lina Zhang, 2024. "Identifying program benefits when participation is misreported," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1123-1148, September.
    22. Deng, Zichen & Lindeboom, Maarten, 2021. "Early-Life Famine Exposure, Hunger Recall and Later-Life Health," IZA Discussion Papers 14487, IZA Network @ LISER.
    23. Johann Caro-Burnett, 2026. "Toggling the Defiers to Relax Monotonicity: The Difference-in-Instrumental-Variables Estimand," Papers 2602.12504, arXiv.org.
    24. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    25. David Arnold & Will S. Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Bail Decisions," NBER Working Papers 26999, National Bureau of Economic Research, Inc.
    26. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    27. Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
    28. Rajashri Chakrabarti & Vyacheslav Fos & Andres Liberman & Constantine Yannelis, 2020. "Tuition, Debt, and Human Capital," Staff Reports 912, Federal Reserve Bank of New York.
    29. Penney, Jeffrey & Lehrer, Steven F. & Bernal, Gloria L. & Reyes, Luis Carlos, 2023. "Do opportunities for low-income students at top colleges promote academic success? Evidence from Colombia's Ser Pilo Paga program," CLEF Working Paper Series 64, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    30. Wright, Nataliya Langburd & Nagle, Frank & Greenstein, Shane, 2023. "Open source software and global entrepreneurship," Research Policy, Elsevier, vol. 52(9).
    31. Joël Cariolle & Yasmine Elkhateeb & Mathilde Maurel, 2022. "(Mis-)information technology: Internet use and perception of democracy in Africa," Post-Print halshs-03628023, HAL.
    32. Clint Harris, 2022. "Interpreting Instrumental Variable Estimands with Unobserved Treatment Heterogeneity: The Effects of College Education," Papers 2211.13132, arXiv.org.
    33. Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
    34. Tafti, Elena Ashtari, 2023. "Technology, Skills, and Performance: The Case of Robots in Surgery," CINCH Working Paper Series (since 2020) 78746, Duisburg-Essen University Library, DuEPublico.
    35. Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Marginal Treatment Effects with Duration Outcomes," Papers 2311.13969, arXiv.org, revised Apr 2026.
    36. Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
    37. Li, Dengjia & Ma, Chaoqun & Li, Hao & Yang, Jinglan, 2024. "The adoption of blockchain and financing constraints: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    38. Zhewen Pan & Zhengxin Wang & Junsen Zhang & Yahong Zhou, 2024. "Marginal treatment effects in the absence of instrumental variables," Papers 2401.17595, arXiv.org, revised Feb 2026.
    39. Francesco Ruggieri, 2023. "Dynamic Regression Discontinuity: An Event-Study Approach," Papers 2307.14203, arXiv.org, revised Mar 2025.
    40. Yao, Yuxin & Zhang, Yi, 2023. "The long-term and intergenerational effects of early-life hunger experience on human capital and labor market outcomes," China Economic Review, Elsevier, vol. 77(C).
    41. Templeton, Zachary S. & Apathy, Nate C. & Konetzka, R. Tamara & Skira, Meghan M. & Werner, Rachel M., 2023. "The health effects of nursing home specialization in post-acute care," Journal of Health Economics, Elsevier, vol. 92(C).
    42. Mink, Julia, 2025. "The healthcare costs of air pollution in France," Journal of Environmental Economics and Management, Elsevier, vol. 134(C).
    43. Su, Yifan & Xu, Guanghua, 2022. "Low-carbon transformation of natural resource industry in China: Determinants and policy implications to achieve COP26 targets," Resources Policy, Elsevier, vol. 79(C).
    44. Krakowski, Krzysztof & Ronconi, Lucas, 2025. "Compliance and accountability-seeking: Evidence from a field experiment in Argentina," Journal of Development Economics, Elsevier, vol. 175(C).
    45. Tadao Hoshino, 2023. "Causal Interpretation of Linear Social Interaction Models with Endogenous Networks," Papers 2308.04276, arXiv.org, revised Oct 2023.
    46. Koki Fusejima, 2020. "Identification of multi-valued treatment effects with unobserved heterogeneity," Papers 2010.04385, arXiv.org, revised Apr 2023.
    47. Stephen Coussens & Jann Spiess, 2021. "Improving Inference from Simple Instruments through Compliance Estimation," Papers 2108.03726, arXiv.org.
    48. Ricardo E. Miranda, 2026. "On the falsification of instrumental variable models for heterogeneous treatment effects," Papers 2601.14464, arXiv.org.
    49. Ruochen Dai & Dilip Mookherjee & Kaivan Munshi & Xiaobo Zhang, 2024. "Community Networks, Entrepreneurship and the Process of Economic Development," Cowles Foundation Discussion Papers 2406, Cowles Foundation for Research in Economics, Yale University.
    50. Olatunji A. Shobande & Lawrence Ogbeifun & Simplice A. Asongu, 2022. "Globalisation, technology and global health," Working Papers of the African Governance and Development Institute. 22/070, African Governance and Development Institute..
    51. Julia Mink, 2025. "The Healthcare Costs of Air Pollution in France," CRC TR 224 Discussion Paper Series crctr224_2025_650, University of Bonn and University of Mannheim, Germany.
    52. Ding, Yihong & Robinson, Elizabeth & Balcombe, Kelvin, 2025. "The role of experience in climate adaptation: Evidence from a field experiment in China," China Economic Review, Elsevier, vol. 94(PB).
    53. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics, revised 20 Jan 2025.
    54. Ravi B. Sojitra & Vasilis Syrgkanis, 2024. "Dynamic Local Average Treatment Effects," Papers 2405.01463, arXiv.org, revised May 2025.
    55. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).
    56. Christophe Bruneel-Zupanc, 2023. "Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs," Papers 2303.12667, arXiv.org, revised Sep 2025.
    57. Sujan Chandra Paul & Ashim Kumar Nandi & Fatema Tuz Zohora & Md Arif Hosen, 2025. "Impact of Foreign Direct Investment on educational attainment: empirical evidence from Asian countries," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 14(4), pages 229-239, June.
    58. Jiang, Hongyi & Sun, Zhenting, 2023. "Testing partial instrument monotonicity," Economics Letters, Elsevier, vol. 233(C).
    59. Samuel K. N. Dadzie & Isaac Dasmani & Franklin T. Odamtten & Emmanuel W. Inkoom, 2025. "Risk attitudes towards climate variation and food crop diversification, and their implications for food security among farm households in Central Region, Ghana," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 17(6), pages 1379-1401, December.
    60. Caterina Pavese & Enrico Rubolino, 2024. "Austerity Harmed Student Achievement," The Economic Journal, Royal Economic Society, vol. 134(659), pages 1199-1227.
    61. Yuehao Bai & Shunzhuang Huang & Max Tabord-Meehan, 2024. "Sharp Testable Implications of Encouragement Designs," Papers 2411.09808, arXiv.org, revised Nov 2025.
    62. Moyu Liao, 2020. "Estimating Economic Models with Testable Assumptions: Theory and Applications," Papers 2002.10415, arXiv.org, revised Mar 2022.
    63. Zhenting Sun & Kaspar Wuthrich, 2022. "Pairwise Valid Instruments," Papers 2203.08050, arXiv.org, revised Feb 2025.
    64. Pablo Rodriguez & Mauricio Sarrias, 2025. "Instrumental variable estimation with observed and unobserved heterogeneity of the treatment and instrument effect: a latent class approach," Empirical Economics, Springer, vol. 68(2), pages 879-914, February.
    65. Jean-Claude Mousseuknadji Kouladoum & Serge Monglengar Nandingar & Sylvaniste Etsiba & Joseph Pasky Ngameni, 2025. "Quality of institutions and structural transformation: case of the ECCAS zone," SN Business & Economics, Springer, vol. 5(8), pages 1-23, August.
    66. Angelo D'Andrea & Patrick Hitayezu & Kangni Kpodar & Nicola Limodio & Andrea F. Presbitero, 2024. "Mobile internet, collateral and banking," Temi di discussione (Economic working papers) 1454, Bank of Italy, Economic Research and International Relations Area.
    67. Choi, Jin-young & Lee, Myoung-jae, 2023. "Complier and monotonicity for Fuzzy Multi-score Regression Discontinuity with partial effects," Economics Letters, Elsevier, vol. 228(C).
    68. Riccardo Della Vecchia & Debabrota Basu, 2025. "Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback," Post-Print hal-03831210, HAL.
    69. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
    70. Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
    71. Angelo D'Andrea & Patrick Hitayezu & Kangni Kpodar & Nicola Limodio & Andrea Filippo Presbitero, 2025. "Developing the Mortgage Market: Technology, Property Rights, and Banking," Mo.Fi.R. Working Papers 195, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    72. Anthony Bald & Eric Chyn & Justine Hastings & Margarita Machelett, 2021. "The causal impact of removing children from abusive and neglectful homes," Working Papers 2126, Banco de España.
    73. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    74. Luis Antonio Fantozzi Alvarez & Rodrigo Toneto, 2024. "The interpretation of 2SLS with a continuous instrument: a weighted LATE representation," Working Papers, Department of Economics 2024_11, University of São Paulo (FEA-USP).
    75. Bao, Te & Yuan, Yuemei & Luo, Weidong & Xu, Bin, 2024. "Unlucky to have brothers: Sibling sex composition and girls’ locus of control," World Development, Elsevier, vol. 173(C).
    76. Jiang, Weiwei & Zhu, Rong J.B., 2025. "Identification in two-score regression discontinuity designs with partial compliance," Economics Letters, Elsevier, vol. 257(C).

  11. 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.

    Cited by:

    1. Florent Nkouaga & Jeffrey Czajkowski & Kelly Edmiston & Brenda Rourke, 2025. "Modeling Behavioral and Attitudinal Drivers of Life Insurance Selection and Premiums: Polynomial Approaches to Perceived Affordability in Term and Cash Value Products," JRFM, MDPI, vol. 18(9), pages 1-33, September.
    2. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    3. Benjamin Vatter, 2025. "Quality Disclosure and Regulation: Scoring Design in Medicare Advantage," Econometrica, Econometric Society, vol. 93(3), pages 959-1001, May.
    4. Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org, revised Nov 2024.
    5. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    6. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    7. Haoge Chang & Yusuke Narita & Kota Saito, 2022. "Approximating Choice Data by Discrete Choice Models," Papers 2205.01882, arXiv.org, revised Dec 2023.
    8. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
    9. Maria Polyakova & Stephen P. Ryan, 2019. "Subsidy Targeting with Market Power," NBER Working Papers 26367, National Bureau of Economic Research, Inc.
    10. Coleman Drake & Mark K. Meiselbach & Daniel Polsky, 2025. "Efficient Subsidy Targeting in the Health Insurance Marketplaces," Papers 2510.13791, arXiv.org, revised Oct 2025.
    11. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    12. Wilfried Youmbi, 2024. "Nonparametric Analysis of Random Utility Models Robust to Nontransitive Preferences," Papers 2406.13969, arXiv.org.
    13. Benjamin R. Handel & Jonathan T. Kolstad, 2021. "The Affordable Care Act After a Decade: Industrial Organization of the Insurance Exchanges," NBER Working Papers 29178, National Bureau of Economic Research, Inc.
    14. Bhattacharya, Debopam, 2025. "Integrability and identification in multinomial choice models," Journal of Economic Theory, Elsevier, vol. 223(C).
    15. Kline, Patrick & Walters, Christopher, 2019. "Audits as Evidence: Experiments, Ensembles, and Enforcement," Institute for Research on Labor and Employment, Working Paper Series qt3z72m9kn, Institute of Industrial Relations, UC Berkeley.
    16. Peter Caradonna & Christopher Turansick, 2026. "Identification in Stochastic Choice," Papers 2602.19950, arXiv.org.
    17. Andrew Chesher & Adam Rosen, 2019. "Generalized Instrumental Variable Models, Methods, and Applications," CeMMAP working papers CWP41/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
    19. Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org, revised Jan 2026.
    20. 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.
    21. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    22. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.

  12. 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.

    Cited by:

    1. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    2. Patrick Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," CESifo Working Paper Series 6994, CESifo.
    3. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    4. 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.
    5. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
    6. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    7. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    8. Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
    9. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    10. David Arnold & Will Dobbie & Crystal S. Yang, 2017. "Racial Bias in Bail Decisions," NBER Working Papers 23421, National Bureau of Economic Research, Inc.
    11. Monique De Haan & Ragnhild C. Schreiner, 2018. "The Intergenerational Transmission of Welfare Dependency," RFBerlin Discussion Paper Series 1810, ROCKWOOL Foundation Berlin (RFBerlin).
    12. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    13. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    14. Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jul 2022.
    15. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Amanda E. Kowalski, 2018. "Behavior within a Clinical Trial and Implications for Mammography Guidelines," NBER Working Papers 25049, National Bureau of Economic Research, Inc.
    17. Brigham R. Frandsen & Lars J. Lefgren & Emily C. Leslie, 2019. "Judging Judge Fixed Effects," NBER Working Papers 25528, National Bureau of Economic Research, Inc.
    18. Possebom, Vitor, 2018. "Sharp bounds on the MTE with sample selection," MPRA Paper 89785, University Library of Munich, Germany.
    19. Sokbae Lee & Bernard Salani'e, 2018. "Identifying Effects of Multivalued Treatments," Papers 1805.00057, arXiv.org.
    20. Yuya Sasaki & Takuya Ura, 2018. "Estimation and Inference for Policy Relevant Treatment Effects," Papers 1805.11503, arXiv.org, revised Jul 2020.
    21. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    22. Eizenberg, Alon & Shurtz, Ity & Alkalay, Adi & Lahad, Amnon, 2018. "Physician workload and treatment choice: the case of primary care," CEPR Discussion Papers 13157, C.E.P.R. Discussion Papers.
    23. Leonard Goff & Eric Mbakop, 2025. "Inference on the value of a linear program," Papers 2506.06776, arXiv.org, revised Jun 2025.
    24. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    25. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    26. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.

  13. Matthew Masten & Alexander Torgovitsky, 2014. "Instrumental variables estimation of a generalized correlated random coefficients model," CeMMAP working papers 02/14, Institute for Fiscal Studies.

    Cited by:

    1. Fernandez-Val , Ivan & van Vuuren, Aico & Vella, Francis, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules," Working Papers in Economics 716, University of Gothenburg, Department of Economics.
    2. Carolina Caetano & Juan Carlos Escaniano, 2015. "Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity," CAEPR Working Papers 2015-009, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Stefan Hoderlein & Hajo Holzmann & Alexander Meister, 2015. "The triangular model with random coefficients," CeMMAP working papers CWP33/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    5. Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017. "Tests for qualitative features in the random coefficients model," Papers 1704.01066, arXiv.org, revised Mar 2018.
    6. Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis, 2018. "Decomposing Real Wage Changes in the United States," IZA Discussion Papers 12044, IZA Network @ LISER.
    7. Dylan Balla-Elliott, 2023. "Identifying Causal Effects in Information Provision Experiments," Papers 2309.11387, arXiv.org, revised Jan 2026.
    8. Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis, 2018. "Nonseparable Sample Selection Models with Censored Selection Rules: An Application to Wage Decompositions," IZA Discussion Papers 11294, IZA Network @ LISER.
    9. Iv'an Fern'andez-Val & Franco Peracchi & Aico van Vuuren & Francis Vella, 2018. "Selection and the Distribution of Female Hourly Wages in the U.S," Papers 1901.00419, arXiv.org, revised Jan 2022.
    10. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2015. "IV Quantile Regression for Group-level Treatments, with an Application to the Distributional Effects of Trade," NBER Working Papers 21033, National Bureau of Economic Research, Inc.

  14. 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.

    Cited by:

    1. Xiaohong Chen & Timothy Christensen & Keith O’Hara & Elie Tamer, 2016. "MCMC Confidence sets for Identified Sets," Cowles Foundation Discussion Papers 2037R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2016.
    2. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers CWP43/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confi dence Intervals for Projections of Partially Identi fied Parameters," Boston University - Department of Economics - Working Papers Series wp2016-001, Boston University - Department of Economics.
    4. Hiroaki Kaido & Yi Zhang, 2019. "Robust likelihood ratio tests for incomplete economic models," CeMMAP working papers CWP68/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Bertanha, Marinho & McCallum, Andrew H. & Seegert, Nathan, 2023. "Better bunching, nicer notching," Journal of Econometrics, Elsevier, vol. 237(2).
    6. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers CWP51/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Eleni Aristodemou & Adam Rosen, 2019. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP62/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Chen, Qihui, 2021. "Robust and optimal estimation for partially linear instrumental variables models with partial identification," Journal of Econometrics, Elsevier, vol. 221(2), pages 368-380.
    9. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    10. Timothy B. Armstrong & Michal Koles'r, 2018. "Sensitivity Analysis using Approximate Moment Condition Models," Cowles Foundation Discussion Papers 2158R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2019.
    11. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    12. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1553-1592.
    13. Joachim Freyberger & Bradley J. Larsen, 2022. "Identification in ascending auctions, with an application to digital rights management," Quantitative Economics, Econometric Society, vol. 13(2), pages 505-543, May.
    14. James Wolter, 2015. "Asymptotics for Sieve Estimators of Hazard Rates: Estimating Hazard Functionals," Economics Series Working Papers 760, University of Oxford, Department of Economics.
    15. Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2015. "Constrained conditional moment restriction models," CeMMAP working papers CWP59/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Paul L. E. Grieco, 2014. "Discrete games with flexible information structures: an application to local grocery markets," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 303-340, June.
    17. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    18. Vishal Kamat & Samuel Norris, 2020. "Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers," Papers 2002.00103, arXiv.org, revised Aug 2024.
    19. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers 28/16, Institute for Fiscal Studies.
    20. Eleni Aristodemou, 2021. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP35/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. St'ephane Bonhomme & Martin Weidner, 2018. "Minimizing Sensitivity to Model Misspecification," Papers 1807.02161, arXiv.org, revised Oct 2021.
    22. Arkadiusz Szydłowski, 2019. "Endogenous censoring in the mixed proportional hazard model with an application to optimal unemployment insurance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1086-1101, November.
    23. Arkadiusz Szydlowski, 2015. "Endogenous Censoring in the Mixed Proportional Hazard Model with an Application to Optimal Unemployment Insurance," Discussion Papers in Economics 15/06, Division of Economics, School of Business, University of Leicester.
    24. Stéphane Bonhomme & Martin Weidner, 2020. "Minimizing Sensitivity to Model Misspecification," CeMMAP working papers CWP37/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. Jeremy Fox, 2016. "Estimating Matching Games with Transfers," CeMMAP working papers CWP14/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    26. Tamara Broderick & Ryan Giordano & Rachael Meager, 2020. "An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?," Papers 2011.14999, arXiv.org, revised Jul 2023.
    27. Kaido, Hiroaki & White, Halbert, 2014. "A two-stage procedure for partially identified models," Journal of Econometrics, Elsevier, vol. 182(1), pages 5-13.
    28. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Ertian Chen, 2025. "Robust Structural Estimation under Misspecified Latent-State Dynamics," Papers 2510.22347, arXiv.org, revised Nov 2025.
    30. Áureo de Paula, 2012. "Econometric analysis of games with multiple equilibria," CeMMAP working papers 29/12, Institute for Fiscal Studies.
    31. Fan, Yanqin & Shi, Xuetao & Tao, Jing, 2023. "Partial identification and inference in moment models with incomplete data," Journal of Econometrics, Elsevier, vol. 235(2), pages 418-443.
    32. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    33. Nail Kashaev, 2018. "Identification and estimation of multinomial choice models with latent special covariates," Papers 1811.05555, arXiv.org, revised Mar 2022.

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.

    Cited by:

    1. Gazze, Ludovica & Klemick, Heather & Parthum, Bryan & Wolverton, Ann, 2024. "Door Hanger Outreach And Incentives Did Not Induce Water System Customers to Participate in Lead Water Pipe Inspections," National Center for Environmental Economics-NCEE Working Papers 348904, United States Environmental Protection Agency (EPA).

  2. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    See citations under working paper version above.
  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.

    Cited by:

    1. Kim, Pyoungsik & Kim, Dongyoung, 2025. "Impact of the COVID-19 pandemic on mental health management: Evidence from individual-level universal insurance claims data," Labour Economics, Elsevier, vol. 92(C).
    2. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.

  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.
    See citations under working paper version above.
  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.
    See citations under working paper version above.
  6. David Benson & Matthew A. Masten & Alexander Torgovitsky, 2022. "ivcrc: An instrumental-variables estimator for the correlated random-coefficients model," Stata Journal, StataCorp LLC, vol. 22(3), pages 469-495, September.
    See citations under working paper version above.
  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.

    Cited by:

    1. Brantly Callaway & Derek Dyal & Pedro H. C. Sant'Anna & Emmanuel S. Tsyawo, 2025. "Beyond Parallel Trends: An Identification-Strategy-Robust Approach to Causal Inference with Panel Data," Papers 2511.21977, arXiv.org.
    2. Marco Francesconi & Jonathan James, 2022. "Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(4), pages 1118-1156, September.
    3. Bogatyrev, Konstantin & Stoetzer, Lukas, 2024. "Synthetic Control Methods for Proportions," OSF Preprints brhd3, Center for Open Science.
    4. Jared Greathouse & Vincent Nossek & Pierre Mandon, 2026. "Economic Impact of the Socio-Political Crisis in the Northwest and Southwest Regions of Cameroon: A Forward Difference-in-Differences Approach," CERDI Working papers hal-05523002, HAL.
    5. Roberta Di Stefano & Giovanni Mellace, 2024. "The inclusive Synthetic Control Method," Papers 2403.17624, arXiv.org, revised Nov 2024.
    6. Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
    7. Guillaume Allaire Pouliot & Zhen Xie & Ziyi Liu, 2022. "Degrees of Freedom and Information Criteria for the Synthetic Control Method," Papers 2207.02943, arXiv.org, revised Mar 2026.
    8. Ratzanyel Rinc'on & Kyungchul Song, 2025. "Causal Inference with Groupwise Matching," Papers 2510.26106, arXiv.org, revised Mar 2026.
    9. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    10. Maria Petrillo & Daniel Valdenegro & Charles Rahal & Yanan Zhang & Gwilym Pryce & Matthew R. Bennett, 2024. "Estimating the Cost of Informal Care with a Novel Two-Stage Approach to Individual Synthetic Control," Papers 2411.10314, arXiv.org, revised Nov 2024.
    11. Riste Ichev & Rok Spruk, 2025. "From Revolution to Ruin: An Empirical Analysis Yemen's State Collapse," Papers 2507.08512, arXiv.org.
    12. Robert Kraemer & Jonne Lehtimäki, 2024. "Government debt, European Institutions and fiscal rules: a synthetic control approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(4), pages 1112-1157, August.
    13. Omid M. Ardakani & N. Kundan Kishor & Suyong Song, 2024. "Does membership of the EMU matter for economic and financial outcomes?," Contemporary Economic Policy, Western Economic Association International, vol. 42(3), pages 416-447, July.
    14. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    15. Susan Athey & Guido Imbens & Zhaonan Qu & Davide Viviano, 2025. "Triply Robust Panel Estimators," Papers 2508.21536, arXiv.org, revised Feb 2026.
    16. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    17. Yixiao Sun & Haitian Xie & Yuhang Zhang, 2025. "Difference-in-Differences Meets Synthetic Control: Doubly Robust Identification and Estimation," Papers 2503.11375, arXiv.org, revised Sep 2025.
    18. Rong J. B. Zhu, 2023. "Synthetic Regressing Control," Papers 2306.02584, arXiv.org, revised Jan 2026.
    19. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    20. Sandro Heiniger, 2024. "Data-driven model selection within the matrix completion method for causal panel data models," Papers 2402.01069, arXiv.org.
    21. Santoni, Edoardo & Patriarca, Fabrizio & Scarlato, Margherita, 2024. "The effects of hiring credits on firm dynamics: a synthetic difference-in-differences evaluation," GLO Discussion Paper Series 1546, Global Labor Organization (GLO).

  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.
    See citations under working paper version above.
  9. Alexander Torgovitsky, 2019. "Nonparametric Inference on State Dependence in Unemployment," Econometrica, Econometric Society, vol. 87(5), pages 1475-1505, September.

    Cited by:

    1. Uguccioni, James, 2022. "The long-run effects of parental unemployment in childhood," CLEF Working Paper Series 45, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    2. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    4. Juan Carlos Cuestas & Luis A. Gil-Alana, 2022. "Unemployment hysteresis by sex and education attainment in the EU," Working Papers 2022/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. 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.
    6. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    7. Sukjin Han, 2018. "Identification in Nonparametric Models for Dynamic Treatment Effects," Papers 1805.09397, arXiv.org, revised Jan 2019.
    8. James J. Heckman & Bridget Galaty & Haihan Tian, 2023. "The Economic Approach to Personality, Character and Virtue," NBER Working Papers 31258, National Bureau of Economic Research, Inc.
    9. Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
    10. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    11. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    12. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Anna Manzoni & Irma Mooi-Reci, 2020. "The cumulative disadvantage of unemployment: Longitudinal evidence across gender and age at first unemployment in Germany," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-20, June.
    14. Fu Ouyang & Thomas Tao Yang, 2022. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Papers 2202.12062, arXiv.org, revised Feb 2024.
    15. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised Dec 2025.
    16. Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
    17. MaCurdy, Thomas & Glick, David & Sherpa, Sonam & Nagavarapu, Sriniketh, 2024. "Profiling the plight of disconnected youth in America," Journal of Econometrics, Elsevier, vol. 238(2).
    18. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
    19. MaCurdy, Thomas & Glick, David & Sherpa, Sonam & Nagavarapu, Sriniketh, 2024. "Reprint of: Profiling the plight of disconnected youth in America," Journal of Econometrics, Elsevier, vol. 243(1).
    20. Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
    21. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.
    22. 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.
    23. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.
    24. Yechan Park & Yuya Sasaki, 2024. "The Informativeness of Combined Experimental and Observational Data under Dynamic Selection," Papers 2403.16177, arXiv.org.
    25. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    26. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2019. "Identification of Dynamic Panel Binary Response Models," Boston College Working Papers in Economics 979, Boston College Department of Economics.
    27. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.
    28. Lafférs, Lukáš & Nedela, Roman, 2025. "Sensitivity of Bounds on ATEs under Survey Nonresponse," Econometrics and Statistics, Elsevier, vol. 34(C), pages 1-13.

  10. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.

    Cited by:

    1. Matthew A. Masten & Alexandre Poirier, 2018. "Interpreting Quantile Independence," Papers 1804.10957, arXiv.org.
    2. Matthew A Masten & Alexandre Poirier, 2023. "Choosing exogeneity assumptions in potential outcome models," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 327-349.
    3. 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.
    4. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    5. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    6. Gafarov, Bulat, 2025. "Simple subvector inference on sharp identified set in affine models," Journal of Econometrics, Elsevier, vol. 249(PB).
    7. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    8. Gualdani, Cristina & Sinha, Shruti, 2019. "Partial identification in matching models for the marriage market," TSE Working Papers 19-993, Toulouse School of Economics (TSE), revised Aug 2022.
    9. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    10. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    11. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised Dec 2025.
    12. Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
    13. Molinari, Francesca, 2020. "Microeconometrics with partial identification," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486, Elsevier.
    14. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    15. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
    16. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    17. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  11. 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.

    Cited by:

    1. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    2. Tadao Hoshino & Takahide Yanagi, 2020. "Estimating Marginal Treatment Effects under Unobserved Group Heterogeneity," Papers 2001.09560, arXiv.org, revised May 2022.
    3. Silliman, Mikko & Virtanen, Hanna, 2019. "Labor Market Returns to Vocational Secondary Education," ETLA Working Papers 65, The Research Institute of the Finnish Economy.
    4. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    5. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Bhuller, Manudeep & Dahl, Gordon D. & Løken, Katrine V. & Mogstad, Magne, 2018. "Incarceration, Recidivism and Employment," Discussion Paper Series in Economics 14/2018, Norwegian School of Economics, Department of Economics.
    7. Yusuke Narita, 2019. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Working Papers 2019-025, Human Capital and Economic Opportunity Working Group.

  12. 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.

    Cited by:

    1. Hollenbach, Johannes & Schmitz, Hendrik & Westphal, Matthias, 2024. "Gene-environment interactions with essential heterogeneity," Ruhr Economic Papers 1105, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Sebastian Himmler & Jannis Stöckel & Job van Exel & Werner B. F. Brouwer, 2021. "The value of health—Empirical issues when estimating the monetary value of a quality‐adjusted life year based on well‐being data," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1849-1870, August.
    3. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    4. Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023. "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, vol. 234(2), pages 565-584.
    5. Thomas Carr & Toru Kitagawa, 2021. "Testing Instrument Validity with Covariates," Papers 2112.08092, arXiv.org, revised Sep 2023.
    6. Patrick Kline & Christopher R. Walters, 2018. "On Heckits, LATE, and Numerical Equivalence," CESifo Working Paper Series 6994, CESifo.
    7. Dmitry Arkhangelsky & Wisse Rutgers, 2025. "Evaluating Local Policies in Centralized Markets," Papers 2510.20032, arXiv.org.
    8. Robert A. Moffitt & Matthew V. Zahn, 2022. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," Papers 2202.03413, arXiv.org.
    9. Vitor Possebom, 2019. "Sharp Bounds for the Marginal Treatment Effect with Sample Selection," Papers 1904.08522, arXiv.org.
    10. 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.
    11. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    12. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2023. "Nonparametric identification of random coefficients in aggregate demand models for differentiated products," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 279-306.
    13. Ivan A. Canay & Magne Mogstad & Jack Mountjoy, 2020. "On the Use of Outcome Tests for Detecting Bias in Decision Making," Working Papers 2020-125, Becker Friedman Institute for Research In Economics.
    14. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    15. Robert A. Moffitt & Matthew V. Zahn, 2019. "A Model of the Marginal Labor Supply Response to Transfer Programs, with a Historical Illustration," NBER Working Papers 26028, National Bureau of Economic Research, Inc.
    16. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    17. Goff, Leonard, 2024. "A vector monotonicity assumption for multiple instruments," Journal of Econometrics, Elsevier, vol. 241(1).
    18. Goto, Tsuyoshi, 2022. "Do municipal mergers reduce public expenditure? Evidence from the MTE approach," MPRA Paper 114376, University Library of Munich, Germany.
    19. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    20. David Arnold & Will S. Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Bail Decisions," NBER Working Papers 26999, National Bureau of Economic Research, Inc.
    21. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    22. Haitian Xie, 2020. "Efficient and Robust Estimation of the Generalized LATE Model," Papers 2001.06746, arXiv.org, revised Feb 2022.
    23. Jiyuan Tan & Jose Blanchet & Vasilis Syrgkanis, 2026. "Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport," Papers 2604.12263, arXiv.org, revised Apr 2026.
    24. Andrews, Isaiah, 2019. "On the structure of IV estimands," Journal of Econometrics, Elsevier, vol. 211(1), pages 294-307.
    25. Bennett, Patrick & Blundell, Richard & Salvanes, Kjell G., 2020. "A Second Chance? Labor Market Returns to Adult Education Using School Reforms," IZA Discussion Papers 13592, IZA Network @ LISER.
    26. Andrei Voronin, 2025. "Generalized Optimal Transport," Papers 2507.22422, arXiv.org.
    27. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    28. Elisa Gerten & Michael Beckmann & Elisa Gerten & Matthias Kräkel, 2022. "Information and Communication Technology, Hierarchy, and Job Design," ECONtribute Discussion Papers Series 189, University of Bonn and University of Cologne, Germany.
    29. Ity Shurtz & Alon Eizenberg & Adi Alkalay & Amnon Lahad, 2022. "Physician workload and treatment choice: the case of primary care," RAND Journal of Economics, RAND Corporation, vol. 53(4), pages 763-791, December.
    30. Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
    31. Santiago Acerenza & Vitor Possebom & Pedro H. C. Sant'Anna, 2023. "Was Javert right to be suspicious? Marginal Treatment Effects with Duration Outcomes," Papers 2311.13969, arXiv.org, revised Apr 2026.
    32. Mourifié, Ismael & Wan, Yuanyuan, 2025. "Layered policy analysis in program evaluation using the marginal treatment effect," Journal of Econometrics, Elsevier, vol. 251(C).
    33. Zeyang Yu, 2024. "A Binary IV Model for Persuasion: Profiling Persuasion Types among Compliers," Papers 2411.16906, arXiv.org, revised Jul 2025.
    34. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    35. Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
    36. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    37. Zhewen Pan & Zhengxin Wang & Junsen Zhang & Yahong Zhou, 2024. "Marginal treatment effects in the absence of instrumental variables," Papers 2401.17595, arXiv.org, revised Feb 2026.
    38. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Emilio Borghesan & Hugo Reis & Petra E. Todd, 2022. "Learning Through Repetition? A Dynamic Evaluation of Grade Retention in Portugal," PIER Working Paper Archive 22-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    40. Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, IZA Network @ LISER.
    41. Santiago Acerenza, 2024. "Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 74-100, February.
    42. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
    43. Di Francesco, Riccardo & Mellace, Giovanni, 2025. "Causal inference for qualitative outcomes," Economics Letters, Elsevier, vol. 256(C).
    44. Yan Liu, 2022. "Policy Learning under Endogeneity Using Instrumental Variables," Papers 2206.09883, arXiv.org, revised Jan 2026.
    45. Timothy B. Armstrong & Michal Kolesár, 2020. "Sensitivity Analysis using Approximate Moment Condition Models," Working Papers 2020-28, Princeton University. Economics Department..
    46. Caio Waisman & Brett R. Gordon, 2023. "Multicell experiments for marginal treatment effect estimation of digital ads," Papers 2302.13857, arXiv.org, revised Apr 2025.
    47. Vishal Kamat & Samuel Norris, 2020. "Estimating Welfare Effects in a Nonparametric Choice Model: The Case of School Vouchers," Papers 2002.00103, arXiv.org, revised Aug 2024.
    48. Yuya Sasaki & Takuya Ura, 2020. "Welfare Analysis via Marginal Treatment Effects," Papers 2012.07624, arXiv.org.
    49. Jorge Rodríguez & Fernando Saltiel & Sergio Urzúa, 2022. "Dynamic treatment effects of job training," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 242-269, March.
    50. Acerenza, Santiago & Wich, Hannah & Bartalotti, Otavio & Kreider, Brent, 2025. "The Effect of SNAP Participation on Mental Health: Using Marginal Effects to Bound Average Effects," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360893, Agricultural and Applied Economics Association.
    51. Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
    52. Marx, Philip, 2024. "Sharp bounds in the latent index selection model," Journal of Econometrics, Elsevier, vol. 238(2).
    53. Philip Marx, 2020. "Sharp Bounds in the Latent Index Selection Model," Papers 2012.02390, arXiv.org, revised Apr 2023.
    54. Stephen Coussens & Jann Spiess, 2021. "Improving Inference from Simple Instruments through Compliance Estimation," Papers 2108.03726, arXiv.org.
    55. Timothy Christensen & Hyungsik Roger Moon & Frank Schorfheide, 2022. "Optimal Decision Rules when Payoffs are Partially Identified," Papers 2204.11748, arXiv.org, revised Dec 2025.
    56. Hongyu Chen & David Simchi-Levi & Ruoxuan Xiong, 2026. "Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models," Papers 2602.16061, arXiv.org.
    57. Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
    58. Robert W. Hahn & Robert D. Metcalfe, 2021. "Efficiency and Equity Impacts of Energy Subsidies," American Economic Review, American Economic Association, vol. 111(5), pages 1658-1688, May.
    59. Bjerk, David J., 2025. "Understanding IV Versus OLS Estimates of Treatment Effects and the Coefficient Difference Check," IZA Discussion Papers 18274, IZA Network @ LISER.
    60. Sokbae (Simon) Lee & Bernard Salanie, 2024. "Treatment effects with targeting instruments," CeMMAP working papers 23/24, Institute for Fiscal Studies.
    61. Chun Pang Chow & Hiroyuki Kasahara, 2026. "Representativeness and Efficiency in Overidentified IV," Papers 2604.07131, arXiv.org.
    62. Leonard Goff, 2020. "A Vector Monotonicity Assumption for Multiple Instruments," Papers 2009.00553, arXiv.org, revised Mar 2024.
    63. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
    64. 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.
    65. Bruce E. Hansen & Seojeong Lee, 2021. "Inference for Iterated GMM Under Misspecification," Econometrica, Econometric Society, vol. 89(3), pages 1419-1447, May.
    66. Leonard Goff, 2024. "When does IV identification not restrict outcomes?," Papers 2406.02835, arXiv.org, revised Feb 2025.
    67. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    68. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    69. Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org, revised Jan 2026.
    70. Koichiro ITO & Takanori IDA & Makoto TANAKA, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," Discussion papers 21008, Research Institute of Economy, Trade and Industry (RIETI).
    71. Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023. "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics 1059, Boston College Department of Economics, revised 20 Jan 2025.
    72. Holger Görg & Haiou Mao & Nigel Driffield, 2025. "Bring the Boys Back Home: The Impact of Foreign Divestments on Local Firms," The World Economy, Wiley Blackwell, vol. 48(11), pages 2386-2407, November.
    73. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).
    74. Leonard Goff & Eric Mbakop, 2025. "Inference on the value of a linear program," Papers 2506.06776, arXiv.org, revised Jun 2025.
    75. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    76. Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2024. "Endogeneity in weakly separable models without monotonicity," Journal of Econometrics, Elsevier, vol. 238(1).
    77. Humlum, Anders & Munch, Jakob R. & Rasmussen, Mette, 2023. "What Works for the Unemployed? Evidence from Quasi-Random Caseworker Assignments," IZA Discussion Papers 16033, IZA Network @ LISER.
    78. Opper, Isaac M., 2024. "From LATE to ATE: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 246(1).
    79. Harold D. Chiang & Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs," Papers 2102.06586, arXiv.org.
    80. Gualdani, Cristina & Sinha, Shruti, 2024. "Identification in discrete choice models with imperfect information," Journal of Econometrics, Elsevier, vol. 244(1).
    81. Rafael Araujo & Vitor Possebom, 2025. "Potato Potahto in the FAO-GAEZ Productivity Measures? Nonclassical Measurement Error with Multiple Proxies," Papers 2502.12141, arXiv.org, revised Apr 2026.
    82. Nicolas Grau & Paul Hewett & Shreemayi Samujjwala & Petra E. Todd, 2025. "Risk compensation among men in Zambia’s national program of voluntary medical male circumcision," PIER Working Paper Archive 25-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    83. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    84. Ashesh Rambachan & Neil Shephard, 2019. "When do common time series estimands have nonparametric causal meaning?," Papers 1903.01637, arXiv.org, revised Jan 2025.
    85. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
    86. Gathmann, Christina & Vonnahme, Christina & Busse, Anna & Kim, Jongoh, 2021. "Marginal returns to citizenship and educational performance," Ruhr Economic Papers 920, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    87. Luther Yap, 2022. "Sensitivity of Policy Relevant Treatment Parameters to Violations of Monotonicity," Working Papers 655, Princeton University, Department of Economics, Industrial Relations Section..
    88. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    89. Matthias Breuer & Ed Dehaan, 2024. "Using and Interpreting Fixed Effects Models," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 62(4), pages 1183-1226, September.
    90. Jiafeng Chen, 2021. "Nonparametric Treatment Effect Identification in School Choice," Papers 2112.03872, arXiv.org, revised Dec 2025.
    91. Heller, Sara B., 2022. "When scale and replication work: Learning from summer youth employment experiments," Journal of Public Economics, Elsevier, vol. 209(C).
    92. Luis Antonio Fantozzi Alvarez & Rodrigo Toneto, 2024. "The interpretation of 2SLS with a continuous instrument: a weighted LATE representation," Working Papers, Department of Economics 2024_11, University of São Paulo (FEA-USP).
    93. Valentin Verdier, 2020. "Average treatment effects for stayers with correlated random coefficient models of panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 917-939, November.
    94. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.
    95. Westphal, Matthias & Kamhöfer, Daniel A. & Schmitz, Hendrik, 2020. "Marginal college wage premiums under selection into employment," Ruhr Economic Papers 855, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  13. Torgovitsky, Alexander, 2017. "Minimum distance from independence estimation of nonseparable instrumental variables models," Journal of Econometrics, Elsevier, vol. 199(1), pages 35-48.

    Cited by:

    1. Feng, Junlong & Lee, Sokbae, 2025. "Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds," Journal of Econometrics, Elsevier, vol. 247(C).
    2. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    3. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    4. Ishihara, Takuya, 2020. "Identification and estimation of time-varying nonseparable panel data models without stayers," Journal of Econometrics, Elsevier, vol. 215(1), pages 184-208.
    5. Florian Gunsilius, 2018. "Point-identification in multivariate nonseparable triangular models," Papers 1806.09680, arXiv.org.
    6. Jad Beyhum & Lorenzo Tedesco & Ingrid Van Keilegom, 2022. "Instrumental variable quantile regression under random right censoring," Papers 2209.01429, arXiv.org, revised Feb 2023.
    7. Xie, Haitian, 2024. "Nonlinear and nonseparable structural functions in regression discontinuity designs with a continuous treatment," Journal of Econometrics, Elsevier, vol. 242(1).
    8. Babii, Andrii & Florens, Jean-Pierre, 2017. "Are unobservables separable?," TSE Working Papers 17-802, Toulouse School of Economics (TSE).
    9. Zhang, Hongsong, 2019. "Non-neutral technology, firm heterogeneity, and labor demand," Journal of Development Economics, Elsevier, vol. 140(C), pages 145-168.
    10. Suqin Ge & João Macieira, 2024. "Unobserved Worker Quality and Inter‐Industry Wage Differentials," Journal of Industrial Economics, Wiley Blackwell, vol. 72(1), pages 459-515, March.
    11. Centorrino, Samuele & Fève, Frédérique & Florens, Jean-Pierre, 2025. "Iterative estimation of nonparametric regressions with continuous endogenous variables and discrete instruments," Journal of Econometrics, Elsevier, vol. 247(C).
    12. Haitian Xie, 2022. "Nonlinear and Nonseparable Structural Functions in Fuzzy Regression Discontinuity Designs," Papers 2204.08168, arXiv.org, revised Jul 2022.

  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.

    Cited by:

    1. Bora Kim, 2020. "Analysis of Randomized Experiments with Network Interference and Noncompliance," Papers 2012.13710, arXiv.org.
    2. Francis J. DiTraglia & Camilo Garcia-Jimeno & Rossa O'Keeffe-O'Donovan & Alejandro Sanchez-Becerra, 2020. "Identifying Causal Effects in Experiments with Spillovers and Non-compliance," Papers 2011.07051, arXiv.org, revised Jan 2023.
    3. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    4. James Kai-sing Kung & Alina Wang, 2026. "Overseas students, ideology, and the fall of dynastic China," Journal of Economic Growth, Springer, vol. 31(1), pages 1-40, March.
    5. Zhu, Xun & Jin, Zequn, 2023. "Some identification results in a correlated random coefficients sample selection model," Economics Letters, Elsevier, vol. 233(C).
    6. Samuele Centorrino & Aman Ullah & Jing Xue, 2019. "Semiparametric Estimation of Correlated Random Coefficient Models without Instrumental Variables," Papers 1911.06857, arXiv.org.
    7. Gollin, D. & Udry, C., 2018. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277279, International Association of Agricultural Economists.
    8. Newey, Whitney & Stouli, Sami, 2021. "Control variables, discrete instruments, and identification of structural functions," Journal of Econometrics, Elsevier, vol. 222(1), pages 73-88.
    9. Paul Carrillo & Dave Donaldson & Dina Pomeranz & Monica Singhal, 2023. "Misallocation in Firm Production: A Nonparametric Analysis Using Procurement Lotteries," CESifo Working Paper Series 10485, CESifo.
    10. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    11. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    12. D’Haultfœuille, Xavier & Hoderlein, Stefan & Sasaki, Yuya, 2024. "Testing and relaxing the exclusion restriction in the control function approach," Journal of Econometrics, Elsevier, vol. 240(2).
    13. Jean-Joseph Minviel & Marc Benoit & Laure Latruffe, 2025. "Environmental and technical efficiency of French suckler sheep farms under pollution-generating technologies: A multi-equation stochastic frontier approach using infometrics," Post-Print hal-05104134, HAL.
    14. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    15. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    16. Carolina Caetano & Gregorio Caetano & Juan Carlos Escanciano, 2023. "Regression discontinuity design with multivalued treatments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 840-856, September.
    17. Pablo Rodriguez & Mauricio Sarrias, 2025. "Instrumental variable estimation with observed and unobserved heterogeneity of the treatment and instrument effect: a latent class approach," Empirical Economics, Springer, vol. 68(2), pages 879-914, February.
    18. Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
    19. Breen, Richard & Ermisch, John, 2021. "Instrumental Variable Estimation in Demographic Studies: The LATE interpretation of the IV estimator with heterogenous effects," SocArXiv vx9m7, Center for Open Science.

  15. Alexander Torgovitsky, 2015. "Identification of Nonseparable Models Using Instruments With Small Support," Econometrica, Econometric Society, vol. 83(3), pages 1185-1197, May.

    Cited by:

    1. Romuald Meango & Esther Mirjam Girsberger, 2023. "Just Ask Them Twice: Choice Probabilities and Identification of Ex ante returns and Willingness-To-Pay," Papers 2303.03009, arXiv.org, revised May 2025.
    2. James J. Heckman & Tomas Jagelka & Tim Kautz, 2019. "Some Contributions of Economics to the Study of Personality," Working Papers 2019-069, Human Capital and Economic Opportunity Working Group.
    3. Yu-Chin Hsu & Ta-Cheng Huang & Haiqing Xu, 2018. "Testing for Unobserved Heterogeneous Treatment Effects with Observational Data," Papers 1803.07514, arXiv.org, revised Aug 2021.
    4. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
    5. Victor Chernozhukov & Iván Fernández‐Val & Whitney Newey & Sami Stouli & Francis Vella, 2020. "Semiparametric estimation of structural functions in nonseparable triangular models," Quantitative Economics, Econometric Society, vol. 11(2), pages 503-533, May.
    6. Huber, Martin & Mellace, Giovanni, 2012. "Relaxing monotonicity in the identification of local average treatment effects," Economics Working Paper Series 1212, University of St. Gallen, School of Economics and Political Science.
    7. Gunsilius, Florian F., 2023. "A condition for the identification of multivariate models with binary instruments," Journal of Econometrics, Elsevier, vol. 235(1), pages 220-238.
    8. Bruneel-Zupanc, Christophe Alain, 2021. "Discrete-Continuous Dynamic Choice Models: Identification and Conditional Choice Probability Estimation," TSE Working Papers 21-1185, Toulouse School of Economics (TSE).
    9. Sokbae (Simon) Lee & Bernard Salanie, 2015. "Identifying effects of multivalued treatments," CeMMAP working papers 72/15, Institute for Fiscal Studies.
    10. Ben Deaner & Soonwoo Kwon, 2025. "Extrapolation in Regression Discontinuity Design Using Comonotonicity," Papers 2507.00289, arXiv.org.
    11. Carolina Caetano & Juan Carlos Escaniano, 2015. "Identifying Multiple Marginal Effects with a Single Binary Instrument or by Regression Discontinuity," CAEPR Working Papers 2015-009, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    12. Christoph Rothe, 2012. "Partial Distributional Policy Effects," Econometrica, Econometric Society, vol. 80(5), pages 2269-2301, September.
    13. Sokbae Lee & Bernard Salani'e, 2020. "Treatment Effects with Targeting Instruments," Papers 2007.10432, arXiv.org, revised Jan 2026.
    14. Kirill Borusyak & Jiafeng Chen & Peter Hull & Lihua Lei, 2026. "Nonparametric identification of demand without exogenous product characteristics," CeMMAP working papers 02/26, Institute for Fiscal Studies.
    15. Matthew A. Masten & Alexandre Poirier, 2022. "Choosing Exogeneity Assumptions in Potential Outcome Models," Papers 2205.02288, arXiv.org.
    16. Xavier D'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear Difference-in-Differences in Repeated Cross Sections with Continuous Treatments," Boston College Working Papers in Economics 839, Boston College Department of Economics.
    17. Gu, Jiaying & Russell, Thomas M., 2023. "Partial identification in nonseparable binary response models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 528-562.
    18. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    19. Fusejima, Koki, 2024. "Identification of multi-valued treatment effects with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).
    20. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Feb 2026.
    21. 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.
    22. Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
    23. Gaurab Aryal & Manudeep Bhuller & Fabian Lange, 2019. "Signaling and Employer Learning with Instruments," NBER Working Papers 25885, National Bureau of Economic Research, Inc.
    24. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
    25. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    26. Andrii Babii & Jean-Pierre Florens, 2017. "Are Unobservables Separable?," Papers 1705.01654, arXiv.org, revised Mar 2021.
    27. Javier Alejo & Antonio F. Galvao & Julian Martinez-Iriarte & Gabriel Montes-Rojas, 2024. "Endogenous Heteroskedasticity in Linear Models," Papers 2412.02767, arXiv.org, revised Dec 2025.
    28. Loh, Isaac, 2023. "Nonparametric identification and estimation with discrete instruments and regressors," Journal of Econometrics, Elsevier, vol. 235(2), pages 1257-1279.
    29. Salanié, Bernard & Lee, Sokbae, 2020. "Filtered and Unfiltered Treatment Effects with Targeting Instruments," CEPR Discussion Papers 15092, C.E.P.R. Discussion Papers.
    30. Whitney K. Newey & Sami Stouli, 2018. "Heterogenous coefficients, discrete instruments, and identification of treatment effects," CeMMAP working papers CWP66/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Caetano, Carolina & Rothe, Christoph & Yıldız, Neşe, 2016. "A discontinuity test for identification in triangular nonseparable models," Journal of Econometrics, Elsevier, vol. 193(1), pages 113-122.
    32. Manuel Arellano & Stéphane Bonhomme, 2016. "Quantile Selection Models with an Application to Understanding Changes in Wage Inequality," Working Papers wp2016_1610, CEMFI.
    33. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    34. Ishihara, Takuya, 2020. "Identification and estimation of time-varying nonseparable panel data models without stayers," Journal of Econometrics, Elsevier, vol. 215(1), pages 184-208.
    35. Matzkin, Rosa L., 2016. "On independence conditions in nonseparable models: Observable and unobservable instruments," Journal of Econometrics, Elsevier, vol. 191(2), pages 302-311.
    36. Huang, Liquan & Khalil, Umair & Yıldız, Neşe, 2019. "Identification and estimation of a triangular model with multiple endogenous variables and insufficiently many instrumental variables," Journal of Econometrics, Elsevier, vol. 208(2), pages 346-366.
    37. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.
    38. Whitney K. Newey & Sami Stouli, 2018. "Control variables, discrete instruments, and identification of structural functions," CeMMAP working papers CWP55/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Florian Gunsilius, 2018. "Point-identification in multivariate nonseparable triangular models," Papers 1806.09680, arXiv.org.
    40. Florian F Gunsilius, 2025. "A primer on optimal transport for causal inference with observational data," Papers 2503.07811, arXiv.org, revised Mar 2025.
    41. Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    42. Zhewen Pan & Zhengxin Wang & Junsen Zhang & Yahong Zhou, 2024. "Marginal treatment effects in the absence of instrumental variables," Papers 2401.17595, arXiv.org, revised Feb 2026.
    43. Gao, Wayne Yuan, 2020. "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, vol. 215(2), pages 399-413.
    44. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.
    45. Hiroaki Kaido & Kaspar Wüthrich, 2018. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    47. Torgovitsky, Alexander, 2017. "Minimum distance from independence estimation of nonseparable instrumental variables models," Journal of Econometrics, Elsevier, vol. 199(1), pages 35-48.
    48. Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2023. "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," Natural Field Experiments 00776, The Field Experiments Website.
    49. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    50. Songnian Chen & Shakeeb Khan & Xun Tang, 2020. "Dummy Endogenous Variables in Weakly Separable Multiple Index Models without Monotonicity," Boston College Working Papers in Economics 996, Boston College Department of Economics.
    51. Xie, Haitian, 2024. "Nonlinear and nonseparable structural functions in regression discontinuity designs with a continuous treatment," Journal of Econometrics, Elsevier, vol. 242(1).
    52. Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
    53. Daniel Hedblom & Brent Hickman & John List, 2019. "Toward an Understanding of Corporate Social Responsibility: Theory and Field Experimental Evidence," Natural Field Experiments 00675, The Field Experiments Website.
    54. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    55. Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
    56. Kasy, Maximilian, "undated". "Instrumental variables with unrestricted heterogeneity and continuous treatment - DON'T CITE! SEE ERRATUM BELOW," Working Paper 33257, Harvard University OpenScholar.
    57. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    58. Takuya Ishihara, 2020. "Panel Data Quantile Regression for Treatment Effect Models," Papers 2001.04324, arXiv.org, revised Nov 2021.
    59. Andrew Chesher & Adam Rosen, 2019. "Generalized Instrumental Variable Models, Methods, and Applications," CeMMAP working papers CWP41/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    60. D’Haultfœuille, Xavier & Hoderlein, Stefan & Sasaki, Yuya, 2024. "Testing and relaxing the exclusion restriction in the control function approach," Journal of Econometrics, Elsevier, vol. 240(2).
    61. Songnian Chen & Shakeeb Khan & Xun Tang, 2020. "Identification and Estimation of Weakly Separable Models Without Monotonicity," Papers 2003.04337, arXiv.org, revised Apr 2020.
    62. Wang, Ao, 2020. "Identifying the Distribution of Random Coefficients in BLP Demand Models Using One Single Variation in Product Characteristics," The Warwick Economics Research Paper Series (TWERPS) 1304, University of Warwick, Department of Economics.
    63. Leonard Goff, 2020. "A Vector Monotonicity Assumption for Multiple Instruments," Papers 2009.00553, arXiv.org, revised Mar 2024.
    64. Suqin Ge & João Macieira, 2024. "Unobserved Worker Quality and Inter‐Industry Wage Differentials," Journal of Industrial Economics, Wiley Blackwell, vol. 72(1), pages 459-515, March.
    65. Romuald Meango, 2023. "Using Probabilistic Stated Preference Analyses to Understand Actual Choices," Papers 2307.13966, arXiv.org.
    66. Loh, Isaac, 2023. "Genericity of the completeness condition with constrained instruments," Economics Letters, Elsevier, vol. 224(C).
    67. Maximilian Kasy, 2014. "Instrumental Variables with Unrestricted Heterogeneity and Continuous Treatment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1614-1636.
    68. Centorrino, Samuele & Fève, Frédérique & Florens, Jean-Pierre, 2025. "Iterative estimation of nonparametric regressions with continuous endogenous variables and discrete instruments," Journal of Econometrics, Elsevier, vol. 247(C).
    69. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers CWP26/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    70. Amaresh K Tiwari, 2021. "A Control Function Approach to Estimate Panel Data Binary Response Model," Papers 2102.12927, arXiv.org, revised Sep 2021.
    71. Masayuki Sawada, 2019. "Noncompliance in randomized control trials without exclusion restrictions," Papers 1910.03204, arXiv.org, revised Jun 2021.
    72. Christophe Bruneel-Zupanc, 2023. "Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs," Papers 2303.12667, arXiv.org, revised Sep 2025.
    73. Whitney K. Newey & Sami Stouli, 2018. "Identification of Treatment Effects under Limited Exogenous Variation," Papers 1811.09837, arXiv.org, revised Jan 2025.
    74. Feng, Junlong, 2024. "Matching points: Supplementing instruments with covariates in triangular models," Journal of Econometrics, Elsevier, vol. 238(1).
    75. Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2024. "Endogeneity in weakly separable models without monotonicity," Journal of Econometrics, Elsevier, vol. 238(1).
    76. Junlong Feng, 2019. "Matching Points: Supplementing Instruments with Covariates in Triangular Models," Papers 1904.01159, arXiv.org, revised Jul 2020.
    77. Carolina Caetano & Gregorio Caetano & Juan Carlos Escanciano, 2023. "Regression discontinuity design with multivalued treatments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 840-856, September.
    78. David Powell, 2020. "Quantile Treatment Effects in the Presence of Covariates," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 994-1005, December.
    79. Zhewen Pan & Yifan Zhang, 2024. "Locally robust semiparametric estimation of sample selection models without exclusion restrictions," Papers 2412.01208, arXiv.org.
    80. Jun Ma & Vadim Marmer & Zhengfei Yu, 2025. "Inference on the Distribution of Individual Treatment Effects in Nonseparable Triangular Models," Papers 2509.15401, arXiv.org.
    81. Wang, Ao, 2023. "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, vol. 235(2), pages 325-351.
    82. Fan, Yanqin & Shi, Xuetao & Tao, Jing, 2023. "Partial identification and inference in moment models with incomplete data," Journal of Econometrics, Elsevier, vol. 235(2), pages 418-443.
    83. Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2017. "Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach," Working Papers 201738, University of Pretoria, Department of Economics.
    84. Santiago Pereda Fernández, 2016. "Estimation of counterfactual distributions with a continuous endogenous treatment," Temi di discussione (Economic working papers) 1053, Bank of Italy, Economic Research and International Relations Area.
    85. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.
    86. Haitian Xie, 2022. "Nonlinear and Nonseparable Structural Functions in Fuzzy Regression Discontinuity Designs," Papers 2204.08168, arXiv.org, revised Jul 2022.
    87. Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2026. "Salience and (Non-)Buyer's Remorse: Optimal Nonlinear Pricing with Cognitively Constrained Consumers," Natural Field Experiments 00834, The Field Experiments Website.
    88. Hubner, Stefan, 2023. "Identification of unobserved distribution factors and preferences in the collective household model," Journal of Econometrics, Elsevier, vol. 234(1), pages 301-326.
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Software components

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Chapters

  1. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.

    Cited by:

    1. Moslem Rashidi & Luke B. Connelly & Gianluca Fiorentini, 2025. "Preventive Care Disruptions and Emergency Hospitalizations: Evidence from COVID-19 and SHARE," Papers 2512.18342, arXiv.org, revised Feb 2026.

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