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Inference on breakdown frontiers

Citations

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Cited by:

  1. 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.
  2. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
  3. Callaway, Brantly, 2021. "Bounds on distributional treatment effect parameters using panel data with an application on job displacement," Journal of Econometrics, Elsevier, vol. 222(2), pages 861-881.
  4. Firpo, Sergio & Galvao, Antonio F. & Kobus, Martyna & Parker, Thomas & Rosa-Dias, Pedro, 2025. "Loss aversion and the welfare ranking of policy interventions," Journal of Econometrics, Elsevier, vol. 252(PB).
  5. Pedro Picchetti, 2025. "Breakdown Analysis for Instrumental Variables with Binary Outcomes," Papers 2507.10242, arXiv.org, revised Oct 2025.
  6. Stéphane Bonhomme & Martin Weidner, 2022. "Minimizing sensitivity to model misspecification," Quantitative Economics, Econometric Society, vol. 13(3), pages 907-954, July.
  7. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
  8. Candelaria, Luis E. & Ura, Takuya, 2023. "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, vol. 235(2), pages 862-891.
  9. Santiago Acerenza & Francisco Rosas, 2026. "Stochastic Frontier meets Breakdown Frontier," Papers 2604.26088, arXiv.org, revised Jul 2026.
  10. Soonwoo Kwon & Liyang Sun, 2025. "Estimating Treatment Effects Under Bounded Heterogeneity," Papers 2510.05454, arXiv.org, revised Apr 2026.
  11. 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.
  12. Vitor Possebom, 2026. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," The Review of Economics and Statistics, MIT Press, vol. 108(1), pages 44-56, January.
  13. Daniel Ober-Reynolds, 2024. "Robustness to missing data: breakdown point analysis," Papers 2406.06804, arXiv.org, revised Dec 2025.
  14. Kaspar Wüthrich, 2020. "A Comparison of Two Quantile Models With Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 443-456, April.
  15. 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.
  16. Messono, Omang Ombolo, 2025. "The intersection of publics services digitalization and women's empowerment in tax revenue mobilization," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  17. Pedro Picchetti, 2026. "Sensitivity Analysis for Instrumental Variables Under Joint Relaxations of Monotonicity and Independence," Papers 2603.25529, arXiv.org, revised Mar 2026.
  18. Firpo, Sergio & Galvao, Antonio F. & Parker, Thomas, 2023. "Uniform inference for value functions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1680-1699.
  19. Ober-Reynolds, Daniel, 2026. "Robustness to missing data: breakdown point analysis," Journal of Econometrics, Elsevier, vol. 253(C).
  20. Quinn Lanners & Cynthia Rudin & Alexander Volfovsky & Harsh Parikh, 2025. "Data Fusion for Partial Identification of Causal Effects," Papers 2505.24296, arXiv.org.
  21. 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.
  22. Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
  23. Jiaming Huang & Luca Neri, 2026. "Beyond Validity: SVAR Identification Through the Proxy Zoo," Papers 2601.11195, arXiv.org.
  24. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
  25. Angelo Leogrande & Mauro Di Molfetta & Valeria Notarnicola & Maria Giovanna Trotta, 2026. "Picking Winners or Marking Them? Timing-Based Evaluation of Innovation Certification," Working Papers hal-05662584, HAL.
  26. Yuehao Bai & Shunzhuang Huang & Sarah Moon & Andres Santos & Azeem M. Shaikh & Edward J. Vytlacil, 2024. "Inference for Treatment Effects Conditional on Generalized Principal Strata using Instrumental Variables," Papers 2411.05220, arXiv.org, revised Nov 2025.
  27. Hiroaki Kaido & Jiaxuan Li & Marc Rysman, 2018. "Moment inequalities in the context of simulated and predicted variables," CeMMAP working papers CWP26/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  28. Harsh Parikh & Marco Morucci & Vittorio Orlandi & Sudeepa Roy & Cynthia Rudin & Alexander Volfovsky, 2023. "A Double Machine Learning Approach to Combining Experimental and Observational Data," Papers 2307.01449, arXiv.org, revised Oct 2025.
  29. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
  30. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
  31. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
  32. Pietro Emilio Spini, 2021. "A Simple Measure of Robustness for External Validity under Covariate Shifts," Papers 2112.09259, arXiv.org, revised May 2026.
  33. Joakim A. Weill & Matthieu Stigler & Olivier Deschenes & Michael R. Springborn, 2025. "Researchers' degrees of flexibility: Revisiting COVID‐19 policy evaluations," Economic Inquiry, Western Economic Association International, vol. 63(2), pages 441-462, April.
  34. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Transparency in Structural Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 711-722, October.
  35. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.
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