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Matthew A. Masten

Citations

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Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Matthew A Masten, 2018. "Random Coefficients on Endogenous Variables in Simultaneous Equations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 1193-1250.

    Mentioned in:

    1. Random Coefficients on Endogenous Variables in Simultaneous Equations Models (REStud 2018) in ReplicationWiki ()

Working papers

  1. Matthew A. Masten & Alexandre Poirier & Muyang Ren, 2025. "A General Approach to Relaxing Unconfoundedness," Papers 2501.15400, arXiv.org.

    Cited by:

    1. Zequn Jin & Gaoqian Xu & Xi Zheng & Yahong Zhou, 2025. "Policy Learning under Unobserved Confounding: A Robust and Efficient Approach," Papers 2507.20550, arXiv.org.

  2. Brendan Kline & Matthew A. Masten, 2025. "Finite Population Identification and Design-Based Sensitivity Analysis," Papers 2504.14127, arXiv.org, revised Jun 2025.

    Cited by:

    1. Pedro Picchetti, 2025. "Breakdown Analysis for Instrumental Variables with Binary Outcomes," Papers 2507.10242, arXiv.org, revised Oct 2025.

  3. Paul Diegert & Matthew A. Masten & Alexandre Poirier, 2022. "Assessing Omitted Variable Bias when the Controls are Endogenous," Papers 2206.02303, arXiv.org, revised Feb 2026.

    Cited by:

    1. Rowland, Neil & McVicar, Duncan & Vlachos, Stavros & Jahanshahi, Babak & McGovern, Mark E. & O’Reilly, Dermot, 2024. "Long-term exposure to ambient PM2.5 and population health: evidence from linked census data," Economics & Human Biology, Elsevier, vol. 55(C).
    2. Jeremy Clark & Abel François & Olivier Gergaud, 2024. "Social Capital, Social Heterogeneity, and Electoral Turnout," Working Papers in Economics 24/09, University of Canterbury, Department of Economics and Finance.
    3. Montagnoli, Alberto & Taylor, Karl, 2024. "Who Cares about Investing Responsibly? Attitudes and Financial Decisions," IZA Discussion Papers 16952, IZA Network @ LISER.
    4. Kaicheng Chen & Kyoo il Kim, 2024. "Identification of Nonseparable Models with Endogenous Control Variables," Papers 2401.14395, arXiv.org.
    5. Niclas Berggren & Christian Bjørnskov, 2024. "Institutions as predictors of government discrimination," Kyklos, Wiley Blackwell, vol. 77(3), pages 642-663, August.
    6. João Martins & Linda Veiga & Bruno Fernandes, 2023. "Are electronic government innovations helpful to deter corruption? Evidence from across the world," Economics and Politics, Wiley Blackwell, vol. 35(3), pages 1177-1203, November.
    7. Aparicio Fenoll, Ainoa & Kuehn, Zoë, 2025. "The Bilingual Advantage: It's How You Measure It," IZA Discussion Papers 17626, IZA Network @ LISER.

  4. Matthew A. Masten & Alexandre Poirier, 2022. "Choosing Exogeneity Assumptions in Potential Outcome Models," Papers 2205.02288, arXiv.org.

    Cited by:

    1. 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).
    2. Praveen & Suddhasil Siddhanta & Anoshua Chaudhuri, 2025. "Marrying Up or Matching Even? Socioeconomic Drivers of Spousal Age Gaps in India," Papers 2502.17059, arXiv.org, revised Sep 2025.

  5. 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. 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.
    3. 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.

  6. Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2020. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Papers 2012.15716, arXiv.org.

    Cited by:

    1. Matthew A. Masten & Alexandre Poirier & Muyang Ren, 2025. "A General Approach to Relaxing Unconfoundedness," Papers 2501.15400, arXiv.org.
    2. Paul Diegert & Matthew A. Masten & Alexandre Poirier, 2022. "Assessing Omitted Variable Bias when the Controls are Endogenous," Papers 2206.02303, arXiv.org, revised Feb 2026.
    3. Wang, Chuhong & Liu, Xingfei & Tani, Massimiliano & Zhao, Yan, 2025. "Safety nets and investment choices," Emerging Markets Review, Elsevier, vol. 68(C).
    4. Jacob Dorn & Kevin Guo, 2021. "Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing," Papers 2102.04543, arXiv.org, revised Aug 2023.
    5. Miklin Nikolai & Gachechiladze Mariami & Moreno George & Chaves Rafael, 2022. "Causal inference with imperfect instrumental variables," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 45-63, January.
    6. 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 2025.
    7. Adamecz, Anna & Lovász, Anna & Vujic, Suncica, 2024. "Beyond the Degree: Fertility Outcomes of 'First in Family' Graduates," IZA Discussion Papers 17216, IZA Network @ LISER.
    8. Montagnoli, Alberto & Taylor, Karl, 2024. "Who Cares about Investing Responsibly? Attitudes and Financial Decisions," IZA Discussion Papers 16952, IZA Network @ LISER.
    9. Vandroux, Romane & Wolff, François-Charles, 2025. "Poor health and food insecurity among food assistance recipients: Evidence from France," Food Policy, Elsevier, vol. 134(C).
    10. Tabe-Ojong, Martin Paul Jr. & Nshakira-Rukundo, Emmanuel, 2021. "Religiosity and parental educational aspirations for children in Kenya," World Development Perspectives, Elsevier, vol. 23(C).
    11. Chinh Hoang-Duc & Hang Nguyen-Thu & Tuan Nguyen-Anh & Hiep Tran-Duc & Linh Nguyen-Thi-Thuy & Phuong Do-Hoang & Nguyen To-The & Vuong Vu-Tien & Huong Nguyen-Thi-Lan, 2024. "Governmental support and multidimensional poverty alleviation: efficiency assessment in rural areas of Vietnam," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(4), pages 999-1038, December.

  7. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.

    Cited by:

    1. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    2. Nicolas Apfel & Frank Windmeijer, 2022. "The Falsification Adaptive Set in Linear Models with Instrumental Variables that Violate the Exclusion or Conditional Exogeneity Restriction," Papers 2212.04814, arXiv.org, revised Apr 2024.
    3. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    4. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    5. Ban, Kyunghoon & Kedagni, Desire, 2020. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments," ISU General Staff Papers 202010120700001113, Iowa State University, Department of Economics.
    6. Jakob Madsen & Holger Strulik, 2023. "Testing unified growth theory: Technological progress and the child quantity‐quality tradeoff," Quantitative Economics, Econometric Society, vol. 14(1), pages 235-275, January.
    7. Nicolas Apfel & Julia Hatamyar & Martin Huber & Jannis Kueck, 2024. "Learning control variables and instruments for causal analysis in observational data," Papers 2407.04448, arXiv.org, revised Sep 2025.
    8. Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2020. "Rationalizing Rational Expectations: Characterization and Tests," Papers 2003.11537, arXiv.org, revised Dec 2020.
    9. Lixiong Li & D'esir'e K'edagni & Ismael Mourifi'e, 2020. "Discordant Relaxations of Misspecified Models," Papers 2012.11679, arXiv.org, revised Apr 2024.
    10. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
    11. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Nicolas Apfel & Xiaoran Liang, 2024. "Agglomerative hierarchical clustering for selecting valid instrumental variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1201-1219, November.
    13. 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.
    14. Adnan M.S. Fakir & Tushar Bharati, 2022. "Health Costs of a "Healthy Democracy": The Impact of Peaceful Political Protests on Healthcare Utilization," Working Paper Series 0522, Department of Economics, University of Sussex Business School.
    15. Charles F. Manski, 2021. "Econometrics for Decision Making: Building Foundations Sketched by Haavelmo and Wald," Econometrica, Econometric Society, vol. 89(6), pages 2827-2853, November.
    16. Pedro Picchetti, 2025. "Breakdown Analysis for Instrumental Variables with Binary Outcomes," Papers 2507.10242, arXiv.org, revised Oct 2025.
    17. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    18. Sun, Zhenting & Wüthrich, Kaspar, 2025. "Pairwise valid instruments," Journal of Econometrics, Elsevier, vol. 250(C).
    19. Moyu Liao, 2020. "Estimating Economic Models with Testable Assumptions: Theory and Applications," Papers 2002.10415, arXiv.org, revised Mar 2022.
    20. Timothy B. Armstrong & Michal Kolesár, 2021. "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
    21. Weng, Alex Xingbang, 2025. "Depression and Risky Health Behaviors," Journal of Economic Behavior & Organization, Elsevier, vol. 233(C).
    22. Stéphane Bonhomme & Martin Weidner, 2022. "Minimizing sensitivity to model misspecification," Quantitative Economics, Econometric Society, vol. 13(3), pages 907-954, July.
    23. Marcoux, Mathieu & Russell, Thomas M. & Wan, Yuanyuan, 2024. "A simple specification test for models with many conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 242(1).

  8. Matthew A. Masten & Alexandre Poirier, 2017. "Inference on Breakdown Frontiers," Papers 1705.04765, arXiv.org, revised Feb 2019.

    Cited by:

    1. Brantly Callaway, 2020. "Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement," Papers 2008.08117, arXiv.org.
    2. 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.
    3. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    4. 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.
    5. Soonwoo Kwon & Liyang Sun, 2025. "Estimating Treatment Effects Under Bounded Heterogeneity," Papers 2510.05454, arXiv.org.
    6. Hiroaki Kaido & Jiaxuan Li & Marc Rysman, 2018. "Moment Inequalities in the Context of Simulated and Predicted Variables," Papers 1804.03674, arXiv.org.
    7. 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.
    8. Firpo, Sergio & Galvao, Antonio F. & Parker, Thomas, 2023. "Uniform inference for value functions," Journal of Econometrics, Elsevier, vol. 235(2), pages 1680-1699.
    9. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
    10. 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.
    11. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
    12. Daniel Ober-Reynolds, 2024. "Robustness to missing data: breakdown point analysis," Papers 2406.06804, arXiv.org, revised Dec 2025.
    13. Quinn Lanners & Cynthia Rudin & Alexander Volfovsky & Harsh Parikh, 2025. "Data Fusion for Partial Identification of Causal Effects," Papers 2505.24296, arXiv.org.
    14. 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.
    15. Firpo, Sergio & Galvao, Antonio F. & Kobus, Martyna & Parker, Thomas & Rosa-Dias, Pedro, 2020. "Loss Aversion and the Welfare Ranking of Policy Interventions," IZA Discussion Papers 13176, IZA Network @ LISER.
    16. Wüthrich, Kaspar, 2020. "A Comparison of Two Quantile Models With Endogeneity," University of California at San Diego, Economics Working Paper Series qt0q43931f, Department of Economics, UC San Diego.
    17. Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
    18. Zheng Fang & Juwon Seo, 2019. "A Projection Framework for Testing Shape Restrictions That Form Convex Cones," Papers 1910.07689, arXiv.org, revised Sep 2021.
    19. Pedro Picchetti, 2025. "Breakdown Analysis for Instrumental Variables with Binary Outcomes," Papers 2507.10242, arXiv.org, revised Oct 2025.
    20. Stéphane Bonhomme & Martin Weidner, 2018. "Minimizing sensitivity to model misspecification," CeMMAP working papers CWP59/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. 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.
    22. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    23. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. 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.
    25. 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).
    26. Pietro Emilio Spini, 2021. "Robustness, Heterogeneous Treatment Effects and Covariate Shifts," Papers 2112.09259, arXiv.org, revised Aug 2024.
    27. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2018. "Covariate Distribution Balance via Propensity Scores," Papers 1810.01370, arXiv.org, revised Apr 2020.
    28. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Transparency in Structural Research," NBER Working Papers 26631, National Bureau of Economic Research, Inc.
    29. Claudia Noack, 2021. "Sensitivity of LATE Estimates to Violations of the Monotonicity Assumption," Papers 2106.06421, arXiv.org.
    30. 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. Matthew A. Masten & Alexandre Poirier, 2017. "Identification of Treatment Effects under Conditional Partial Independence," Papers 1707.09563, arXiv.org.

    Cited by:

    1. Tenglong Li & Kenneth A. Frank, 2020. "The probability of a robust inference for internal validity and its applications in regression models," Papers 2005.12784, arXiv.org.
    2. Paul Diegert & Matthew A. Masten & Alexandre Poirier, 2022. "Assessing Omitted Variable Bias when the Controls are Endogenous," Papers 2206.02303, arXiv.org, revised Feb 2026.
    3. Sakaue, Katsuki & Wokadala, James, 2022. "Effects of including refugees in local government schools on pupils’ learning achievement: Evidence from West Nile, Uganda," International Journal of Educational Development, Elsevier, vol. 90(C).
    4. Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
    5. Sungwon Lee, 2021. "Partial Identification and Inference for Conditional Distributions of Treatment Effects," Papers 2108.00723, arXiv.org, revised Nov 2023.
    6. Mourifié, Ismael & Wan, Yuanyuan, 2025. "Layered policy analysis in program evaluation using the marginal treatment effect," Journal of Econometrics, Elsevier, vol. 251(C).
    7. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
    8. 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.
    9. Pedro Picchetti, 2025. "Breakdown Analysis for Instrumental Variables with Binary Outcomes," Papers 2507.10242, arXiv.org, revised Oct 2025.
    10. Zequn Jin & Gaoqian Xu & Xi Zheng & Yahong Zhou, 2025. "Policy Learning under Unobserved Confounding: A Robust and Efficient Approach," Papers 2507.20550, arXiv.org.
    11. 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.
    12. Tenglong Li & Kenneth A. Frank, 2019. "On the probability of a causal inference is robust for internal validity," Papers 1906.08726, arXiv.org.
    13. Matthew A. Masten & Alexandre Poirier, 2022. "The Effect of Omitted Variables on the Sign of Regression Coefficients," Papers 2208.00552, arXiv.org, revised Jun 2025.
    14. Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2020. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Papers 2012.15716, arXiv.org.
    15. Nathan Canen & Kyungchul Song, 2021. "Counterfactual analysis under partial identification using locally robust refinement," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 416-436, June.
    16. Tenglong Li & Kenneth A. Frank & Mingming Chen, 2024. "A Conceptual Framework for Quantifying the Robustness of a Regression-Based Causal Inference in Observational Study," Mathematics, MDPI, vol. 12(3), pages 1-14, January.
    17. Chinh Hoang-Duc & Hang Nguyen-Thu & Tuan Nguyen-Anh & Hiep Tran-Duc & Linh Nguyen-Thi-Thuy & Phuong Do-Hoang & Nguyen To-The & Vuong Vu-Tien & Huong Nguyen-Thi-Lan, 2024. "Governmental support and multidimensional poverty alleviation: efficiency assessment in rural areas of Vietnam," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(4), pages 999-1038, December.
    18. Sungwon Lee, 2024. "Partial identification and inference for conditional distributions of treatment effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 107-127, January.

  10. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers 26/16, Institute for Fiscal Studies.

    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. Matthew Masten & Alexandre Poirier, 2017. "Inference on breakdown frontiers," CeMMAP working papers 20/17, Institute for Fiscal Studies.
    4. Andrii Babii & Jean-Pierre Florens, 2017. "Are Unobservables Separable?," Papers 1705.01654, arXiv.org, revised Mar 2021.
    5. Matthew A. Masten & Alexandre Poirier, 2017. "Identification of Treatment Effects under Conditional Partial Independence," Papers 1707.09563, arXiv.org.
    6. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.

  11. Joachim Freyberger & Matthew Masten, 2016. "Compactness of infinite dimensional parameter spaces," CeMMAP working papers 01/16, Institute for Fiscal Studies.

    Cited by:

    1. Manuel Arellano & Stéphane Bonhomme, 2019. "Recovering Latent Variables by Matching," Working Papers wp2019_1914, CEMFI.
    2. Sungwon Lee & Joon H. Ro, 2020. "Nonparametric Tests for Conditional Quantile Independence with Duration Outcomes," Working Papers 2013, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Laurent Davezies & Xavier D'Haultfoeuille & Yannick Guyonvarch, 2018. "Asymptotic results under multiway clustering," Papers 1807.07925, arXiv.org, revised Aug 2018.

  12. 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.

  13. Matthew Masten, 2014. "Random coefficients on endogenous variables in simultaneous equations models," CeMMAP working papers 01/14, Institute for Fiscal Studies.

    Cited by:

    1. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki, 2014. "Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level," Economics Series 307, Institute for Advanced Studies.
    2. Christoph Breunig, 2018. "Varying Random Coefficient Models," Papers 1804.03110, arXiv.org, revised Aug 2020.
    3. Zhou, Yiwei & Wang, Xiaokun & Holguín-Veras, José, 2016. "Discrete choice with spatial correlation: A spatial autoregressive binary probit model with endogenous weight matrix (SARBP-EWM)," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 440-455.
    4. 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.
    5. 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.
    6. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
    7. Ming Li, 2021. "Identification and Estimation in a Time-Varying Endogenous Random Coefficient Panel Data Model," Papers 2110.00982, arXiv.org, revised Nov 2024.
    8. Gao, Z. & Pesaran, M. H., 2022. "Identification and Estimation of Categorical Random Coeficient Models," Cambridge Working Papers in Economics 2228, Faculty of Economics, University of Cambridge.
    9. 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.
    10. 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.
    11. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Sep 2025.
    12. Arthur Lewbel & Krishna Pendakur, 2015. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Discussion Papers dp16-03, Department of Economics, Simon Fraser University.
    13. Andrew Chesher & Adam Rosen, 2016. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers CWP44/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. 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.
    15. Rokhaya Dieye & Bernard Fortin, 2017. "Gender Peer Effects Heterogeneity in Obesity," CIRANO Working Papers 2017s-03, CIRANO.
    16. Breunig, Christoph & Hoderlein, Stefan, 2018. "Specification Testing in Random Coefficient Models," Rationality and Competition Discussion Paper Series 77, CRC TRR 190 Rationality and Competition.
    17. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2019. "Peer Effects in Networks: a Survey," Working Papers halshs-02440709, HAL.
    18. Gaillac, Christophe & Gautier, Eric, 2021. "Non Parametric Classes for Identification in Random Coefficients Models when Regressors have Limited Variation," TSE Working Papers 21-1218, Toulouse School of Economics (TSE).
    19. Steven T. Berry & Philip A. Haile, 2016. "Identification of Nonparametric Simultaneous Equations Models with a Residual Index Structure," Cowles Foundation Discussion Papers 2008R, Cowles Foundation for Research in Economics, Yale University.
    20. Samuele Centorrino & Aman Ullah & Jing Xue, 2019. "Semiparametric Estimation of Correlated Random Coefficient Models without Instrumental Variables," Papers 1911.06857, arXiv.org.
    21. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Jeremy T. Fox, 2017. "A Note on Nonparametric Identification of Distributions of Random Coefficients in Multinomial Choice Models," NBER Working Papers 23621, National Bureau of Economic Research, Inc.
    23. Christoph Breunig & Stefan Hoderlein, 2016. "Nonparametric Specification Testing in Random Parameter Models," Boston College Working Papers in Economics 897, Boston College Department of Economics.
    24. Songnian Chen & Shakeeb Khan & Xun Tang, 2022. "Endogeneity in Weakly Separable Models without Monotonicity," Papers 2208.05047, arXiv.org.
    25. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
    26. Roy Allen & John Rehbeck, 2021. "Obstacles to Redistribution Through Markets and One Solution," Papers 2111.09910, arXiv.org.
    27. Sida Peng, 2019. "Heterogeneous Endogenous Effects in Networks," Papers 1908.00663, arXiv.org.
    28. 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.
    29. Konstantinidi, Antri & Kourtellos, Andros & Sun, Yiguo, 2023. "Social threshold regression," Journal of Econometrics, Elsevier, vol. 235(2), pages 2057-2081.
    30. Stephan Martin, 2022. "Estimation of Conditional Random Coefficient Models using Machine Learning Techniques," Papers 2201.08366, arXiv.org.
    31. Chen, Songnian & Khan, Shakeeb & Tang, Xun, 2024. "Endogeneity in weakly separable models without monotonicity," Journal of Econometrics, Elsevier, vol. 238(1).
    32. 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.
    33. Breunig, Christoph, 2021. "Varying random coefficient models," Journal of Econometrics, Elsevier, vol. 221(2), pages 381-408.
    34. Wang, Ao, 2023. "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, vol. 235(2), pages 325-351.
    35. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    36. Dunker, Fabian & Hoderlein, Stefan & Kaido, Hiroaki & Sherman, Robert, 2018. "Nonparametric identification of the distribution of random coefficients in binary response static games of complete information," Journal of Econometrics, Elsevier, vol. 206(1), pages 83-102.
    37. Juan Carlos Escanciano, 2020. "Irregular Identification of Structural Models with Nonparametric Unobserved Heterogeneity," Papers 2005.08611, arXiv.org.
    38. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2013. "Random Coefficients in Static Games of Complete Information," Boston College Working Papers in Economics 835, Boston College Department of Economics.

Articles

  1. Matthew A. Masten & Alexandre Poirier & Linqi Zhang, 2024. "Assessing Sensitivity to Unconfoundedness: Estimation and Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 1-13, January.
    See citations under working paper version above.
  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.
    See citations under working paper version above.
  3. 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.
  4. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    See citations under working paper version above.
  5. Matthew A. Masten & Alexandre Poirier, 2020. "Inference on breakdown frontiers," Quantitative Economics, Econometric Society, vol. 11(1), pages 41-111, January.
    See citations under working paper version above.
  6. Joachim Freyberger & Matthew A. Masten, 2019. "A practical guide to compact infinite dimensional parameter spaces," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 979-1006, October.

    Cited by:

    1. Dalderop, Jeroen, 2023. "Semiparametric estimation of latent variable asset pricing models," Journal of Econometrics, Elsevier, vol. 236(1).
    2. Sukjin Han & Sungwon Lee, 2019. "Estimation in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 994-1015, September.
    3. Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
    4. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    5. Isaac Loh, 2024. "Inference under partial identification with minimax test statistics," Papers 2401.13057, arXiv.org, revised Apr 2024.
    6. Jun, Sung Jae & Zincenko, Federico, 2022. "Testing for risk aversion in first-price sealed-bid auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 295-320.
    7. 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.
    8. Yang Ning & Sida Peng & Jing Tao, 2020. "Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data," Papers 2009.03151, arXiv.org.

  7. Matthew A. Masten & Alexandre Poirier, 2018. "Identification of Treatment Effects Under Conditional Partial Independence," Econometrica, Econometric Society, vol. 86(1), pages 317-351, January.
    See citations under working paper version above.
  8. Matthew A Masten, 2018. "Random Coefficients on Endogenous Variables in Simultaneous Equations Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 1193-1250.
    See citations under working paper version above.
  9. 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. Zhu, Xun & Jin, Zequn, 2023. "Some identification results in a correlated random coefficients sample selection model," Economics Letters, Elsevier, vol. 233(C).
    5. Samuele Centorrino & Aman Ullah & Jing Xue, 2019. "Semiparametric Estimation of Correlated Random Coefficient Models without Instrumental Variables," Papers 1911.06857, arXiv.org.
    6. 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.
    7. Newey, Whitney & Stouli, Sami, 2021. "Control variables, discrete instruments, and identification of structural functions," Journal of Econometrics, Elsevier, vol. 222(1), pages 73-88.
    8. 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.
    9. Louise Laage, 2020. "A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity," Papers 2003.09367, arXiv.org, revised Nov 2022.
    10. Laage, Louise, 2024. "A Correlated Random Coefficient panel model with time-varying endogeneity," Journal of Econometrics, Elsevier, vol. 242(2).
    11. 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).
    12. 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.
    13. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    14. 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.
    15. 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.
    16. DiTraglia, Francis J. & García-Jimeno, Camilo & O’Keeffe-O’Donovan, Rossa & Sánchez-Becerra, Alejandro, 2023. "Identifying causal effects in experiments with spillovers and non-compliance," Journal of Econometrics, Elsevier, vol. 235(2), pages 1589-1624.
    17. Escanciano, Juan Carlos, 2023. "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 106-127.
    18. 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.

  10. Jose Miguel Abito & Katarina Borovickova & Hays Golden & Jacob Goldin & Matthew A. Masten & Miguel Morin & Alexandre Poirier & Vincent Pons & Israel Romem & Tyler Williams & Chamna Yoon, 2011. "How Should the Graduate Economics Core be Changed?," The Journal of Economic Education, Taylor & Francis Journals, vol. 42(4), pages 414-417, October.

    Cited by:

Software components

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