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Arie Beresteanu

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. Luca Rigotti & Arie Beresteanu, 2021. "Identification of Incomplete Preferences," Papers 2108.06282, arXiv.org, revised Jun 2022.

    Cited by:

    1. Gorno, Leandro & Rivello, Alessandro T., 2023. "A maximum theorem for incomplete preferences," Journal of Mathematical Economics, Elsevier, vol. 106(C).
    2. Arlegi, Ritxar & Bourgeois-Gironde, Sacha & Hualde, Mikel, 2022. "Attitudes toward choice with incomplete preferences: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 663-679.
    3. Horan, Sean & Manzini, Paola & Mariotti, Marco, 2022. "When is coarseness not a curse? Comparative statics of the coarse random utility model," Journal of Economic Theory, Elsevier, vol. 202(C).

  2. Arie Beresteanu, 2016. "Quantile Regression with Interval Data," Working Paper 5991, Department of Economics, University of Pittsburgh.

    Cited by:

    1. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.

  3. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2010. "Sharp identification regions in models with convex moment predictions," CeMMAP working papers CWP25/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers 03/14, Institute for Fiscal Studies.
    2. Andres Aradillas-Lopez & Adam Rosen, 2013. "Inference in ordered response games with complete information," CeMMAP working papers 33/13, Institute for Fiscal Studies.
    3. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    4. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2016. "Testing many moment inequalities," CeMMAP working papers CWP42/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Arthur Lewbel & Xun Tang, 2012. "Identification and Estimation of Games with Incomplete Information Using Excluded Regressors," Boston College Working Papers in Economics 808, Boston College Department of Economics, revised 05 Mar 2013.
    6. Andrew Chesher & Adam Rosen, 2012. "Simultaneous equations for discrete outcomes: coherence, completeness, and identification," CeMMAP working papers 21/12, Institute for Fiscal Studies.
    7. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    8. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    9. Hajivassiliou, Vassilis & Savignac, Frédérique, 2019. "Novel approaches to coherency conditions in dynamic LDV models: quantifying financing constraints and a firm's decision and ability to innovate," LSE Research Online Documents on Economics 102544, London School of Economics and Political Science, LSE Library.
    10. Arie Beresteanu, 2021. "Identification of Incomplete Preferences," Working Paper 7145, Department of Economics, University of Pittsburgh.
    11. Steven T Berry & Giovanni Compiani, 2023. "An Instrumental Variable Approach to Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1724-1758.
    12. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    13. Christian Bontemps & Thierry Magnac, 2017. "Set identification, moment restrictions, and inference," Post-Print hal-01575813, HAL.
    14. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2024. "Robust analysis of short panels," CeMMAP working papers 01/24, Institute for Fiscal Studies.
    15. Larry G. Epstein & Hiroaki Kaido & Kyoungwon Seo, 2015. "Robust Confidence Regions for Incomplete Models," Boston University - Department of Economics - Working Papers Series wp2015-008, Boston University - Department of Economics.
    16. Jeremy T. Fox & David H. Hsu & Chenyu Yang, 2012. "Unobserved Heterogeneity in Matching Games with an Application to Venture Capital," NBER Working Papers 18168, National Bureau of Economic Research, Inc.
    17. 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.
    18. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers CWP09/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016. "Identification of panel data models with endogenous censoring," Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
    20. Yuan Liao & Anna Simoni, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," Papers 1212.3267, arXiv.org, revised Nov 2013.
    21. Shosei Sakaguchi, 2020. "Partial Identification and Inference in Duration Models with Endogenous Censoring," CeMMAP working papers CWP8/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    22. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    23. Sridhar Narayanan, 2013. "Bayesian estimation of discrete games of complete information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 39-81, March.
    24. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    25. 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.
    26. 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.
    27. Shosei Sakaguchi, 2021. "Partial Identification and Inference in Duration Models with Endogenous Censoring," Papers 2107.00928, arXiv.org.
    28. Cristina Gualdani & Shruti Sinha, 2023. "Identification in Discrete Choice Models with Imperfect Information," Working Papers 949, Queen Mary University of London, School of Economics and Finance.
    29. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2017. "Uncertain identification," CeMMAP working papers 18/17, Institute for Fiscal Studies.
    30. Gualdani, Cristina, 2018. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," TSE Working Papers 17-898, Toulouse School of Economics (TSE), revised Jul 2019.
    31. Gualdani, Cristina & Sinha, Shruti, 2019. "Identification and inference in discrete choice models with imperfect information," TSE Working Papers 19-1049, Toulouse School of Economics (TSE), revised Jun 2020.
    32. Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
    33. Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2013.
    34. Gualdani, Cristina, 2021. "An econometric model of network formation with an application to board interlocks between firms," Journal of Econometrics, Elsevier, vol. 224(2), pages 345-370.
    35. Victor H. Aguiar & Roy Allen & Nail Kashaev, 2020. "Prices, Profits, Proxies, and Production," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20202, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    36. Jacob Dorn & Kevin Guo, 2021. "Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing," Papers 2102.04543, arXiv.org, revised Aug 2023.
    37. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    38. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
    39. Jason R. Blevins, 2013. "Non-Standard Rates of Convergence of Criterion-Function-Based Set Estimators," Working Papers 13-02, Ohio State University, Department of Economics.
    40. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    41. Nail Kashaev & Bruno Salcedo, 2019. "Discerning Solution Concepts," University of Western Ontario, Departmental Research Report Series 20193, University of Western Ontario, Department of Economics.
    42. Marcoux, Mathieu, 2022. "Strategic interactions in mobile network investment with a new entrant and unobserved heterogeneity," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    43. 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.
    44. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    45. Brendan Kline & Elie Tamer, 2016. "Bayesian inference in a class of partially identified models," Quantitative Economics, Econometric Society, vol. 7(2), pages 329-366, July.
    46. Beresteanu, Arie & Molchanov, Ilya & Molinari, Francesca, 2012. "Partial identification using random set theory," Journal of Econometrics, Elsevier, vol. 166(1), pages 17-32.
    47. Ivan A. Canay & Azeem M. Shaikh, 2016. "Practical and theoretical advances in inference for partially identified models," CeMMAP working papers CWP05/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    48. Bontemps, Christian & Kumar, Rohit, 2018. "A Geometric Approach to Inference in Set-Identified Entry Games," TSE Working Papers 18-943, Toulouse School of Economics (TSE), revised Mar 2019.
    49. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2013. "Random coefficients in static games of complete information," CeMMAP working papers CWP12/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Sridhar Narayanan, 2013. "Bayesian estimation of discrete games of complete information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 39-81, March.
    52. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    53. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
    54. Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011. "An instrumental variable model of multiple discrete choice," CeMMAP working papers CWP39/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    55. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
    56. Lixiong Li & Marc Henry, 2022. "Finite Sample Inference in Incomplete Models," Papers 2204.00473, arXiv.org.
    57. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2019. "Heterogeneous Choice Sets and Preferences," Papers 1907.02337, arXiv.org, revised Feb 2021.
    58. Victor Chernozhukov & Christian Hansen, 2013. "Quantile models with endogeneity," CeMMAP working papers CWP25/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    59. Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    60. Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers 34/12, Institute for Fiscal Studies.
    61. 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.
    62. Paul S. Koh, 2022. "Estimating Dynamic Games with Unknown Information Structure," Papers 2205.03706, arXiv.org, revised May 2022.
    63. Juan Passadore & Juan Xandri, 2019. "Robust Predictions in Dynamic Policy Games," 2019 Meeting Papers 1345, Society for Economic Dynamics.
    64. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    65. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," IDEI Working Papers 814, Institut d'Économie Industrielle (IDEI), Toulouse.
    66. Pacini, David, 2020. "Proximal statistic: Asymptotic normality," Statistics & Probability Letters, Elsevier, vol. 167(C).
    67. Andrew Chesher & Adam Rosen, 2020. "Structural modeling of simultaneous discrete choice," CeMMAP working papers CWP9/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    68. Arie Beresteanu, 2016. "Quantile Regression with Interval Data," Working Paper 5991, Department of Economics, University of Pittsburgh.
    69. Miyauchi, Yuhei, 2016. "Structural estimation of pairwise stable networks with nonnegative externality," Journal of Econometrics, Elsevier, vol. 195(2), pages 224-235.
    70. Lorenzo Magnolfi & Camilla Roncoroni, 2023. "Estimation of Discrete Games with Weak Assumptions on Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 2006-2041.
    71. Hajivassiliou, Vassilis & Savignac, Frédérique, 2024. "Simultaneously incomplete and incoherent (SII) dynamic LDV models: with an application to financing constraints and firms’ decision to innovate," LSE Research Online Documents on Economics 119379, London School of Economics and Political Science, LSE Library.
    72. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    73. Yuan Liao & Anna Simoni, 2019. "Bayesian inference for partially identified smooth convex models," Post-Print hal-03089881, HAL.
    74. Jeremy Fox & Natalia Lazzati, 2013. "Identification of discrete choice models for bundles and binary games," CeMMAP working papers 04/13, Institute for Fiscal Studies.
    75. 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.
    76. Andrew Chesher & Adam Rosen, 2020. "Econometric Modeling of Interdependent Discrete Choice with Applications to Market Structure," CeMMAP working papers CWP25/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    77. Bontemps, Christian & Menezes Bezerra Sampaio, Raquel, 2020. "Entry games for the airline industry," TSE Working Papers 20-1108, Toulouse School of Economics (TSE).
    78. Nathan Kallus & Xiaojie Mao & Angela Zhou, 2022. "Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination," Management Science, INFORMS, vol. 68(3), pages 1959-1981, March.
    79. , 2023. "Price Competition and Endogenous Product Choice in Networks: Evidence from the US airline Industry," Working Papers 950, Queen Mary University of London, School of Economics and Finance.
    80. T.S. Tuang Buansing & Amos Golan & Aman Ullah, 2019. "Information-Theoretic Approach for Forecasting Interval-Valued SP500 Daily Returns," Working Papers 201922, University of California at Riverside, Department of Economics.
    81. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    82. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    83. Donald W.K. Andrews & Xiaoxia Shi, 2015. "Inference Based on Many Conditional Moment Inequalities," Cowles Foundation Discussion Papers 2010R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
    84. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
    85. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    86. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    87. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers 55/13, Institute for Fiscal Studies.
    88. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    89. Cristina Gualdani, 2021. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," Post-Print hal-03548907, HAL.
    90. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    91. Abito, Jose Miguel, 2015. "How much can we identify from repeated games?," MPRA Paper 66378, University Library of Munich, Germany.
    92. Nicky L. Grant & Richard J. Smith, 2018. "GEL-Based Inference from Unconditional Moment Inequality Restrictions," Economics Discussion Paper Series 1802, Economics, The University of Manchester.
    93. Galichon, Alfred & Henry, Marc, 2013. "Dilation bootstrap," Journal of Econometrics, Elsevier, vol. 177(1), pages 109-115.
    94. 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.
    95. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    96. Arthur Lewbel & Xun Tang, 2010. "Identification and Estimation of Games with Incomplete Information Using Excluded Regressors, Second Version," PIER Working Paper Archive 12-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 20 Mar 2012.
    97. Thomas Demuynck & Tom Potoms, 2022. "Testing revealed preference models with unobserved randomness: a column generation approach," Working Papers ECARES 2022-42, ULB -- Universite Libre de Bruxelles.
    98. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    99. 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.
    100. Yuan Liao & Anna Simoni, 2016. "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers 201607, Rutgers University, Department of Economics.
    101. Romuald Méango, 2014. "International Student Migration: A Partial Identification Analysis," CESifo Working Paper Series 4677, CESifo.
    102. Magnolfi, Lorenzo & Roncoroni, Camilla, 2020. "Estimation of Discrete Games with Weak Assumptions on Information," The Warwick Economics Research Paper Series (TWERPS) 1247, University of Warwick, Department of Economics.

  4. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2010. "Partial identification using random set theory," CeMMAP working papers CWP40/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Ismael Mourifie & Marc Henry & Romuald Meango, 2017. "Sharp bounds and testability of a Roy model of STEM major choices," Papers 1709.09284, arXiv.org, revised Nov 2019.
    2. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    4. Christian Bontemps & Thierry Magnac, 2017. "Set identification, moment restrictions, and inference," Post-Print hal-01575813, HAL.
    5. Yuan Liao & Anna Simoni, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," Papers 1212.3267, arXiv.org, revised Nov 2013.
    6. 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.
    7. Sara Bleninger, 2013. "Welfare Effects of the Euro Cash Changeover: Do Assumptions Really Matter?," SOEPpapers on Multidisciplinary Panel Data Research 577, DIW Berlin, The German Socio-Economic Panel (SOEP).
    8. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    9. Brendan Kline & Elie Tamer, 2016. "Bayesian inference in a class of partially identified models," Quantitative Economics, Econometric Society, vol. 7(2), pages 329-366, July.
    10. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    11. Panos Toulis, 2020. "Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach," Papers 2006.16214, arXiv.org.
    12. Vishal Kamat, 2018. "On the Identifying Content of Instrument Monotonicity," Papers 1807.01661, arXiv.org, revised Oct 2019.
    13. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    14. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," IDEI Working Papers 814, Institut d'Économie Industrielle (IDEI), Toulouse.
    15. Arie Beresteanu, 2016. "Quantile Regression with Interval Data," Working Paper 5991, Department of Economics, University of Pittsburgh.
    16. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    17. Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
    18. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    19. Toulis, Panos, 2021. "Estimation of Covid-19 prevalence from serology tests: A partial identification approach," Journal of Econometrics, Elsevier, vol. 220(1), pages 193-213.
    20. 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.
    21. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    22. Thomas Demuynck & Tom Potoms, 2022. "Testing revealed preference models with unobserved randomness: a column generation approach," Working Papers ECARES 2022-42, ULB -- Universite Libre de Bruxelles.
    23. Tatiana Komarova & Denis Nekipelov, 2020. "Identification and Formal Privacy Guarantees," Papers 2006.14732, arXiv.org, revised May 2021.
    24. Yuan Liao & Anna Simoni, 2016. "Bayesian Inference for Partially Identified Convex Models: Is it Valid for Frequentist Inference?," Departmental Working Papers 201607, Rutgers University, Department of Economics.
    25. Panos Toulis, 2020. "Estimation of COVID-19 Prevalence from Serology Tests: A Partial Identification Approach," Working Papers 2020-54_Revised, Becker Friedman Institute for Research In Economics.

  5. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2009. "Sharp identification regions in models with convex predictions: games, individual choice, and incomplete data," CeMMAP working papers CWP27/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Marc Henry & Ismael Mourifie, 2011. "Euclidean Revealed Preferences: Testing the Spatial Voting Model," CIRJE F-Series CIRJE-F-822, CIRJE, Faculty of Economics, University of Tokyo.
    2. Beresteanu, Arie & Molchanov, Ilya & Molinari, Francesca, 2012. "Partial identification using random set theory," Journal of Econometrics, Elsevier, vol. 166(1), pages 17-32.
    3. Kline, Brendan & Tamer, Elie, 2012. "Bounds for best response functions in binary games," Journal of Econometrics, Elsevier, vol. 166(1), pages 92-105.
    4. Paul B. Ellickson & Stephanie Houghton & Christopher Timmins, 2010. "Estimating Network Economies in Retail Chains: A Revealed Preference Approach," NBER Working Papers 15832, National Bureau of Economic Research, Inc.
    5. Áureo de Paula, 2012. "Econometric analysis of games with multiple equilibria," CeMMAP working papers 29/12, Institute for Fiscal Studies.

  6. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2008. "Sharp identification regions in games," CeMMAP working papers CWP15/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Arie Beresteanu, 2009. "Sharp Identification Regions in Models with Convex Predictions: Games, Individual Choice, and Incomplete Data," Working Paper 428, Department of Economics, University of Pittsburgh, revised Sep 2010.
    2. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    3. Elie Tamer & Federico Ciliberto, 2004. "Market Structure and Multiple Equilibria in Airline Markets," 2004 Meeting Papers 52, Society for Economic Dynamics.
    4. Jeremy T. Fox, 2010. "Identification in matching games," Quantitative Economics, Econometric Society, vol. 1(2), pages 203-254, November.
    5. Steven N. Durlauf & Yannis M. Ioannides, 2009. "Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0739, Department of Economics, Tufts University.
    6. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    7. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    8. Alberto Bisin & Andrea Moro & Giorgio Topa, 2011. "The Empirical Content of Models with Multiple Equilibria in Economies with Social Interactions," NBER Working Papers 17196, National Bureau of Economic Research, Inc.
    9. Beresteanu, Arie & Molchanov, Ilya & Molinari, Francesca, 2012. "Partial identification using random set theory," Journal of Econometrics, Elsevier, vol. 166(1), pages 17-32.
    10. Liran Einav, 2010. "Not All Rivals Look Alike: Estimating An Equilibrium Model Of The Release Date Timing Game," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 369-390, April.
    11. Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, Econometric Society, vol. 9(1), pages 1-38, March.
    12. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. 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.
    14. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    15. Giorgio Topa & Elizabeth Setren & Meta Brown, 2011. "Do Referrals Lead to Better Matches? Evidence from a Firm's Employee," 2011 Meeting Papers 711, Society for Economic Dynamics.
    16. Marc Henry & Romuald Méango & Maurice Queyranne, 2012. "Combinatorial Bootstrap Inference IN in Prtially Identified Incomplete Structural Models," CIRJE F-Series CIRJE-F-837, CIRJE, Faculty of Economics, University of Tokyo.
    17. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676, Cowles Foundation for Research in Economics, Yale University.
    18. Aradillas-Lopez, Andres, 2012. "Pairwise-difference estimation of incomplete information games," Journal of Econometrics, Elsevier, vol. 168(1), pages 120-140.
    19. J. Stoye, 2009. "Charles F. Manski, Identification for Prediction and Decision (Harvard University Press 2007)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 857-862.

  7. Beresteanu, Arie & Molinari, Francesca, 2006. "Asymptotic Properties for a Class of Partially Identified Models," Working Papers 06-04, Duke University, Department of Economics.

    Cited by:

    1. Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers 03/14, Institute for Fiscal Studies.
    2. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023. "Inference for Linear Conditional Moment Inequalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
    3. 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.
    4. Laurens CHERCHYE & Bram DE ROCK & Arthur LEWBEL & Frederic VERMEULEN, 2012. "Sharing rule identification for general collective consumption models," Working Papers of Department of Economics, Leuven ces12.05, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    5. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, May.
    6. Zhiwei Zhang, 2010. "Profile Likelihood and Incomplete Data," International Statistical Review, International Statistical Institute, vol. 78(1), pages 102-116, April.
    7. Colubi, Ana & Ramos-Guajardo, Ana Belén, 2023. "Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics," Econometrics and Statistics, Elsevier, vol. 26(C), pages 84-98.
    8. Arie Beresteanu, 2009. "Sharp Identification Regions in Models with Convex Predictions: Games, Individual Choice, and Incomplete Data," Working Paper 428, Department of Economics, University of Pittsburgh, revised Sep 2010.
    9. Patrick Bajari & Jeremy T. Fox & Stephen Ryan, 2006. "Evaluating Wireless Carrier Consolidation Using Semiparametric Demand Estimation," NBER Working Papers 12425, National Bureau of Economic Research, Inc.
    10. Kate Ho & Adam M. Rosen, 2015. "Partial Identification in Applied Research: Benefits and Challenges," NBER Working Papers 21641, National Bureau of Economic Research, Inc.
    11. Alfred Galichon & Marc Henry, 2021. "Inference in Incomplete Models," Papers 2102.12257, arXiv.org.
    12. Hahn Jinyong & Ridder Geert, 2015. "Non-Standard Tests through a Composite Null and Alternative in Point-Identified Parameters," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-28, January.
    13. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Emanuele Ciani & Adeline Delavande & Ben Etheridge & Marco Francesconi, 2019. "Policy Uncertainty and Information Flows: Evidence from Pension Reform Expectations," CESifo Working Paper Series 7851, CESifo.
    15. Kreider, Brent & Pepper, John V., 2011. "Identification of Expected Outcomes in a Data Error Mixing Model with Multiplicative Mean Independence," Staff General Research Papers Archive 12496, Iowa State University, Department of Economics.
    16. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    17. 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.
    18. 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.
    19. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae Lee, 2018. "The identification power of smoothness assumptions in models with counterfactual outcomes," Quantitative Economics, Econometric Society, vol. 9(2), pages 617-642, July.
    20. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    21. Christian Bontemps & Thierry Magnac, 2017. "Set identification, moment restrictions, and inference," Post-Print hal-01575813, HAL.
    22. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2014. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP05/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Elie Tamer & Federico Ciliberto, 2004. "Market Structure and Multiple Equilibria in Airline Markets," 2004 Meeting Papers 52, Society for Economic Dynamics.
    24. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae (Simon) Lee, 2014. "The identification power of smoothness assumptions in models with counterfactual outcomes," CeMMAP working papers 17/14, Institute for Fiscal Studies.
    25. Larry G. Epstein & Hiroaki Kaido & Kyoungwon Seo, 2015. "Robust Confidence Regions for Incomplete Models," Boston University - Department of Economics - Working Papers Series wp2015-008, Boston University - Department of Economics.
    26. Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2019. "Best linear approximations to set identified functions: with an application to the gender wage gap," CeMMAP working papers 09/19, Institute for Fiscal Studies.
    27. 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.
    28. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers CWP09/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Yuan Liao & Anna Simoni, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," Papers 1212.3267, arXiv.org, revised Nov 2013.
    30. Shosei Sakaguchi, 2020. "Partial Identification and Inference in Duration Models with Endogenous Censoring," CeMMAP working papers CWP8/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Donald W.K. Andrews & Xiaoxia Shi, 2010. "Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1761R2, Cowles Foundation for Research in Economics, Yale University, revised May 2012.
    32. Karun Adusumilli & Taisuke Otsu, 2017. "Empirical Likelihood for Random Sets," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1064-1075, July.
    33. Rosen, Adam M., 2012. "Set identification via quantile restrictions in short panels," Journal of Econometrics, Elsevier, vol. 166(1), pages 127-137.
    34. Hyungsik Roger Moon & Frank Schorfheide, 2009. "Bayesian and Frequentist Inference in Partially Identified Models," NBER Working Papers 14882, National Bureau of Economic Research, Inc.
    35. Armstrong, Timothy B., 2014. "Weighted KS statistics for inference on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 181(2), pages 92-116.
    36. Pedro Terán, 2016. "A Multivalued Strong Law of Large Numbers," Journal of Theoretical Probability, Springer, vol. 29(2), pages 349-358, June.
    37. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    38. Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
    39. Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2013.
    40. Victor H. Aguiar & Roy Allen & Nail Kashaev, 2020. "Prices, Profits, Proxies, and Production," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20202, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    41. Shakeeb Khan & Tatiana Komarova & Denis Nekipelov, 2023. "On Optimal Set Estimation for Partially Identified Binary Choice Models," Papers 2310.02414, arXiv.org, revised Oct 2023.
    42. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    43. Jason R. Blevins, 2013. "Non-Standard Rates of Convergence of Criterion-Function-Based Set Estimators," Working Papers 13-02, Ohio State University, Department of Economics.
    44. Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    45. Adam Rosen, 2006. "Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities," CeMMAP working papers CWP25/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    46. Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2012. "Inference on Sets in Finance," Papers 1211.4282, arXiv.org.
    47. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics.
    48. Luc Bissonnette & J. de Bresser, 2015. "Eliciting Subjective Survival Curves: Lessons from Partial Identification," Cahiers de recherche 1503, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    49. Vira Semenova, 2017. "Debiased Machine Learning of Set-Identified Linear Models," Papers 1712.10024, arXiv.org, revised Dec 2022.
    50. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    51. 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.
    52. Toru Kitagawa, 2011. "Inference and decision for set identified parameters using posterior lower and upper probabilities," CeMMAP working papers CWP16/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    53. Victor Chernozhukov & Wooyoung Kim & Sokbae (Simon) Lee & Adam Rosen, 2013. "Implementing intersection bounds in Stata," CeMMAP working papers 38/13, Institute for Fiscal Studies.
    54. Otsu, Taisuke & Matsushita, Yukitoshi & Xu, Ke-Li, 2014. "Empirical likelihood for regression discontinuity design," LSE Research Online Documents on Economics 58065, London School of Economics and Political Science, LSE Library.
    55. Giustinelli, Pamela & Manski, Charles F. & Molinari, Francesca, 2022. "Tail and center rounding of probabilistic expectations in the Health and Retirement Study," Journal of Econometrics, Elsevier, vol. 231(1), pages 265-281.
    56. Brendan Kline & Elie Tamer, 2016. "Bayesian inference in a class of partially identified models," Quantitative Economics, Econometric Society, vol. 7(2), pages 329-366, July.
    57. Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Dec 2023.
    58. Donald W.K. Andrews & Patrik Guggenberger, 2007. "Validity of Subsampling and "Plug-in Asymptotic" Inference for Parameters Defined by Moment Inequalities," Cowles Foundation Discussion Papers 1620, Cowles Foundation for Research in Economics, Yale University.
    59. Beresteanu, Arie & Molchanov, Ilya & Molinari, Francesca, 2012. "Partial identification using random set theory," Journal of Econometrics, Elsevier, vol. 166(1), pages 17-32.
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    62. Bontemps, Christian & Kumar, Rohit, 2018. "A Geometric Approach to Inference in Set-Identified Entry Games," TSE Working Papers 18-943, Toulouse School of Economics (TSE), revised Mar 2019.
    63. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    64. Komunjer, Ivana, 2007. "Global Identification In Nonlinear Semiparametric Models," University of California at San Diego, Economics Working Paper Series qt8dk0n386, Department of Economics, UC San Diego.
    65. Andrew Chesher & Adam Rosen & Konrad Smolinski, 2011. "An instrumental variable model of multiple discrete choice," CeMMAP working papers CWP39/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    66. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Identification and Estimation of Marginal Effects in Nonlinear Panel Models," Boston University - Department of Economics - Working Papers Series wp2009-b, Boston University - Department of Economics.
    67. 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.
    68. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2019. "Heterogeneous Choice Sets and Preferences," Papers 1907.02337, arXiv.org, revised Feb 2021.
    69. Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    70. Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016. "Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
    71. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    72. Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
    73. Jerry A. Hausman & Whitney K. Newey, 2016. "Individual Heterogeneity and Average Welfare," Econometrica, Econometric Society, vol. 84, pages 1225-1248, May.
    74. Joan Alegre & Juan Carlos Escanciano, 2023. "Robust Minimum Distance Inference in Structural Models," Papers 2310.05761, arXiv.org.
    75. Yoshihiko Nishiyama & Peter Robinson, 2004. "The bootstrap and the Edgeworth correction for semiparametric averaged derivatives," CeMMAP working papers 12/04, Institute for Fiscal Studies.
    76. Armstrong, Timothy B., 2015. "Asymptotically exact inference in conditional moment inequality models," Journal of Econometrics, Elsevier, vol. 186(1), pages 51-65.
    77. Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012. "Inference for best linear approximations to set identified functions," CeMMAP working papers CWP43/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    78. Coroneo, Laura & Corradi, Valentina & Santos Monterio, Paulo, 2012. "Testing for optimal monetary policy via moment inequalities," Economic Research Papers 270654, University of Warwick - Department of Economics.
    79. Timothy B. Armstrong & Hock Peng Chan, 2013. "Multiscale Adaptive Inference on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1885R, Cowles Foundation for Research in Economics, Yale University, revised Oct 2014.
    80. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    81. 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).
    82. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," IDEI Working Papers 814, Institut d'Économie Industrielle (IDEI), Toulouse.
    83. Federico A. Bugni & Mehmet Caner & Anders Bredahl Kock & Soumendra Lahiri, 2016. "Inference in partially identified models with many moment inequalities using Lasso," CREATES Research Papers 2016-12, Department of Economics and Business Economics, Aarhus University.
    84. Jerry Hausman & Whitney K. Newey, 2013. "Individual heterogeneity and average welfare," CeMMAP working papers 34/13, Institute for Fiscal Studies.
    85. Kaido, Hiroaki, 2016. "A dual approach to inference for partially identified econometric models," Journal of Econometrics, Elsevier, vol. 192(1), pages 269-290.
    86. Paul B. Ellickson & Stephanie Houghton & Christopher Timmins, 2010. "Estimating Network Economies in Retail Chains: A Revealed Preference Approach," NBER Working Papers 15832, National Bureau of Economic Research, Inc.
    87. Monique de Haan, 2011. "The Effect of Parents' Schooling on Child's Schooling: A Nonparametric Bounds Analysis," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 859-892.
    88. Arie Beresteanu, 2016. "Quantile Regression with Interval Data," Working Paper 5991, Department of Economics, University of Pittsburgh.
    89. Daniel Cerquera & François Laisney & Hannes Ullrich, 2012. "Considerations on partially identified regression models," Working Papers of BETA 2012-07, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    90. 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.
    91. Miyauchi, Yuhei, 2016. "Structural estimation of pairwise stable networks with nonnegative externality," Journal of Econometrics, Elsevier, vol. 195(2), pages 224-235.
    92. Wang, Xun & Zhang, Zhongzhan & Li, Shoumei, 2016. "Set-valued and interval-valued stationary time series," Journal of Multivariate Analysis, Elsevier, vol. 145(C), pages 208-223.
    93. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    94. Okumura, Tsunao & 奥村, 綱雄 & オクムラ, ツナオ & Usui, Emiko & 臼井, 恵美子 & ウスイ, エミコ, 2010. "Concave-Monotone Treatment Response and Monotone Treatment Selection: With an Application to the Returns to Schooling," PIE/CIS Discussion Paper 475, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    95. Yuan Liao & Anna Simoni, 2019. "Bayesian inference for partially identified smooth convex models," Post-Print hal-03089881, HAL.
    96. Chiburis, Richard C., 2010. "Semiparametric bounds on treatment effects," Journal of Econometrics, Elsevier, vol. 159(2), pages 267-275, December.
    97. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676, Cowles Foundation for Research in Economics, Yale University.
    98. Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
    99. , 2023. "Price Competition and Endogenous Product Choice in Networks: Evidence from the US airline Industry," Working Papers 950, Queen Mary University of London, School of Economics and Finance.
    100. T.S. Tuang Buansing & Amos Golan & Aman Ullah, 2019. "Information-Theoretic Approach for Forecasting Interval-Valued SP500 Daily Returns," Working Papers 201922, University of California at Riverside, Department of Economics.
    101. Choirat, Christine & Seri, Raffaello, 2014. "Bootstrap confidence sets for the Aumann mean of a random closed set," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 803-817.
    102. Donald S. Poskitt & Xueyan Zhao, 2023. "Bootstrap Hausdorff Confidence Regions for Average Treatment Effect Identified Sets," Monash Econometrics and Business Statistics Working Papers 9/23, Monash University, Department of Econometrics and Business Statistics.
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    104. Fan, Yanqin & Park, Sang Soo, 2014. "Nonparametric inference for counterfactual means: Bias-correction, confidence sets, and weak IV," Journal of Econometrics, Elsevier, vol. 178(P1), pages 45-56.
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    106. Yang Ou & Jiang Bin & Sung Kim Jun & Li Chuhui, 2018. "Social Network Structure and Risk Sharing in Villages," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(3), pages 1-7, July.
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    108. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2008. "Sharp identification regions in games," CeMMAP working papers CWP15/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    109. Kyungchul Song, 2009. "Point Decisions for Interval-Identified Parameters," PIER Working Paper Archive 09-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
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    111. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
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    113. 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.
    114. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers 09/14, Institute for Fiscal Studies.
    115. Canay, Ivan A., 2010. "EL inference for partially identified models: Large deviations optimality and bootstrap validity," Journal of Econometrics, Elsevier, vol. 156(2), pages 408-425, June.
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  8. Paul Ellickson & Beresteanu Arie, 2005. "The Dynamics of Retail Oligopolies," 2005 Meeting Papers 829, Society for Economic Dynamics.

    Cited by:

    1. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
    2. Maican, Florin & Orth, Matilda, 2008. "Productivity Dynamics and the Role of “Big-Box” Entrants in Retailing," Working Papers in Economics 328, University of Gothenburg, Department of Economics.
    3. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    4. Victor Aguirregabiria & Arvind Magesan, 2012. "Identification and estimation of dynamic games when players' beliefs are not in equilibrium," Working Papers tecipa-449, University of Toronto, Department of Economics.
    5. Doraszelski, Ulrich & Satterthwaite, Mark, 2007. "Computable Markov-Perfect Industry Dynamics: Existence, Purification, and Multiplicity," CEPR Discussion Papers 6212, C.E.P.R. Discussion Papers.
    6. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2013. "Testing for Equilibrium Multiplicity in Dynamic Markov Games," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 423, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    7. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    8. Fershtman, Chaim & Pakes, Ariel, 2005. "Finite State Dynamic Games with Asymmetric Information: A Framework for Applied Work," CEPR Discussion Papers 5024, C.E.P.R. Discussion Papers.
    9. Alon Eizenberg & Saul Lach & Merav Oren-Yiftach, 2021. "Retail Prices in a City," American Economic Journal: Economic Policy, American Economic Association, vol. 13(2), pages 175-206, May.
    10. Ulrich Doraszelski & Mark Satterthwaite, 2010. "Computable Markov‐perfect industry dynamics," RAND Journal of Economics, RAND Corporation, vol. 41(2), pages 215-243, June.
    11. Peter Arcidiacono & Paul B. Ellickson, 2011. "Practical Methods for Estimation of Dynamic Discrete Choice Models," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 363-394, September.
    12. Joao Macieira, 2010. "Oblivious Equilibrium in Dynamic Discrete Games," 2010 Meeting Papers 680, Society for Economic Dynamics.
    13. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    14. Steinmetz Alexander, 2016. "Price and Inventory Dynamics in an Oligopoly Industry: A Framework for Commodity Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(1), pages 159-180, January.
    15. Ulrich Doraszelski & Mark Satterthwaite, 2007. "Computable Markov-Perfect Industry Dynamics: Existence, Purification, and Multiplicity," Levine's Bibliography 321307000000000912, UCLA Department of Economics.
    16. Andrew Sweeting, 2007. "Dynamic Product Repositioning in Differentiated Product Markets: The Case of Format Switching in the Commercial Radio Industry," NBER Working Papers 13522, National Bureau of Economic Research, Inc.
    17. Taisuke Otsu & Martin Pesendorfer & Yuya Takahashi, 2016. "Pooling data across markets in dynamic Markov games," Quantitative Economics, Econometric Society, vol. 7(2), pages 523-559, July.
    18. Aguirregabiria, Victor & Vicentini, Gustavo, 2014. "Dynamic Spatial Competition Between Multi-Store Firms," CEPR Discussion Papers 10273, C.E.P.R. Discussion Papers.
    19. Peter Arcidiacono & Patrick Bayer & Jason R. Blevins & Paul B. Ellickson, 2012. "Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition," NBER Working Papers 18449, National Bureau of Economic Research, Inc.
    20. Przemysław Jeziorski, 2014. "Estimation of cost efficiencies from mergers: application to US radio," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 816-846, December.
    21. Pesendorfer, Martin & Takahashi, Yuya & Otsu, Taisuke, 2014. "Testing Equilibrium Multiplicity in Dynamic Games," CEPR Discussion Papers 10111, C.E.P.R. Discussion Papers.
    22. Mitsukuni Nishida & Nathan Yang, 2014. "Better Together? Retail Chain Performance Dynamics in Store Expansion Before and After Mergers," Working Papers 14-08, NET Institute.
    23. Maican, Florin G., 2012. "From Boom to Bust and Back Again: A dynamic analysis of IT services," Working Papers in Economics 543, University of Gothenburg, Department of Economics.
    24. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.

  9. Beresteanu, Arie, 2004. "Nonparametric Estimation of Regression Functions under Restrictions on Partieal Derivatives," Working Papers 04-06, Duke University, Department of Economics.

    Cited by:

    1. Daniel J. Henderson & Christopher F. Parmeter, 2009. "Imposing economic constraints in nonparametric regression: survey, implementation, and extension," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 433-469, Emerald Group Publishing Limited.
    2. Daniel J. Henderson & John A. List & Daniel L. Millimet & Christopher F. Parmeter & Michael K. Price, 2011. "Empirical Implementation of Nonparametric First-Price Auction Models," NBER Working Papers 17095, National Bureau of Economic Research, Inc.
    3. Georg Ch. Pflug & Roger J.-B. Wets, 2013. "Shape-restricted nonparametric regression with overall noisy measurements," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(2), pages 323-338, June.
    4. Eric Mbakop & Max Tabord‐Meehan, 2021. "Model Selection for Treatment Choice: Penalized Welfare Maximization," Econometrica, Econometric Society, vol. 89(2), pages 825-848, March.
    5. Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2018. "Nonparametric analysis of monotone choice," Discussion Paper Series 184, School of Economics, Kwansei Gakuin University.
    6. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2008. "Imposing Monotonicity Nonparametrically in First-Price Auctions," MPRA Paper 8769, University Library of Munich, Germany.

  10. Beresteanu, Arie, 2002. "Nonparametric Analysis of Cost Complementarities in the Telecommunications Industry," Working Papers 02-07, Duke University, Department of Economics.

    Cited by:

    1. Chavas, Jean-Paul & Kim, Kwansoo, 2010. "Economies of diversification: A generalization and decomposition of economies of scope," International Journal of Production Economics, Elsevier, vol. 126(2), pages 229-235, August.
    2. Edmond Baranes & Cuong Hung Vuong, 2020. "Investment in Quality Upgrade and Regulation of the Internet," CESifo Working Paper Series 8074, CESifo.
    3. Natalia Lazzati & John K.-H. Quah & Koji Shirai, 2018. "Nonparametric analysis of monotone choice," Discussion Paper Series 184, School of Economics, Kwansei Gakuin University.
    4. Dennis Epple & Brett Gordon & Holger Sieg, 2010. "A New Approach to Estimating the Production Function for Housing," American Economic Review, American Economic Association, vol. 100(3), pages 905-924, June.
    5. Kwansoo Kim & Donghwan An, 2015. "Nonparametric Evaluation of Economies of Scope in the Context of Technical Efficiency: The Case of Rice and Vegetable Farms in Korea," Asian Economic Journal, East Asian Economic Association, vol. 29(3), pages 285-301, September.

Articles

  1. Arie Beresteanu & Federico Zincenko, 2018. "Efficiency Gains in Rank†ordered Multinomial Logit Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(1), pages 122-134, February.

    Cited by:

    1. Changbiao Liu & Yuling Li, 2023. "Estimation of Rank-Ordered Regret Minimization Models," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1611-1630, December.
    2. Hunt, Priscillia E & Smart, Rosanna, 2020. "Investigation of Employers' Preferences for the Design of Staffing Agency Incentives to Hire Ex-Felons," IZA Discussion Papers 13520, Institute of Labor Economics (IZA).
    3. Xing, Jianwei & Leard, Benjamin & Li, Shanjun, 2021. "What does an electric vehicle replace?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    4. Jin Yan & Hong Il Yoo, 2017. "Semiparametric Estimation of the Random Utility Model with Rank-Ordered Choice Data," Working Papers 2017_02, Durham University Business School.

  2. Beresteanu, Arie & Molchanov, Ilya & Molinari, Francesca, 2012. "Partial identification using random set theory," Journal of Econometrics, Elsevier, vol. 166(1), pages 17-32.
    See citations under working paper version above.
  3. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2011. "Sharp Identification Regions in Models With Convex Moment Predictions," Econometrica, Econometric Society, vol. 79(6), pages 1785-1821, November.
    See citations under working paper version above.
  4. Arie Beresteanu & Shanjun Li, 2011. "Gasoline Prices, Government Support, And The Demand For Hybrid Vehicles In The United States," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 161-182, February.

    Cited by:

    1. Cristian Huse & Claudio Lucinda, 2014. "The Market Impact and the Cost of Environmental Policy: Evidence from the Swedish Green Car Rebate," Economic Journal, Royal Economic Society, vol. 124(578), pages 393-419, August.
    2. Tong Zhang, Paul J. Burke, and Qi Wang, 2024. "Effectiveness of electric vehicle subsidies in China: A three-dimensional panel study," Departmental Working Papers 2024-1, The Australian National University, Arndt-Corden Department of Economics.
    3. Chandra, Minal, 2022. "Investigating the impact of policies, socio-demography and national commitments on electric-vehicle demand: Cross-country study," Journal of Transport Geography, Elsevier, vol. 103(C).
    4. Sun, Shanxia & Delgado, Michael S. & Khanna, Neha, 2019. "Hybrid vehicles, social signals and household driving: Implications for miles traveled and gasoline consumption," Energy Economics, Elsevier, vol. 84(C).
    5. Sovacool, Benjamin K. & Abrahamse, Wokje & Zhang, Long & Ren, Jingzheng, 2019. "Pleasure or profit? Surveying the purchasing intentions of potential electric vehicle adopters in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 69-81.
    6. Chenlei Xue & Huaguo Zhou & Qunqi Wu & Xueying Wu & Xingbo Xu, 2021. "Impact of Incentive Policies and Other Socio-Economic Factors on Electric Vehicle Market Share: A Panel Data Analysis from the 20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-12, March.
    7. Huse, Cristian, 2014. "Fast and Furious (and Dirty): How Asymmetric Regulation May Hinder Environmental Policy," MPRA Paper 48909, University Library of Munich, Germany.
    8. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," International Journal of Industrial Organization, Elsevier, vol. 86(C).
    9. Hunt Allcott & Nathan Wozny, 2014. "Gasoline Prices, Fuel Economy, and the Energy Paradox," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.
    10. Matthew E. Kahn & Randall Walsh, 2014. "Cities and the Environment," NBER Working Papers 20503, National Bureau of Economic Research, Inc.
    11. James Sallee, 2010. "The Taxation of Fuel Economy," NBER Working Papers 16466, National Bureau of Economic Research, Inc.
    12. Fournel, Jean-François, 2023. "Electric Vehicle Subsidies: Cost-Effectiveness and Emission Reductions," TSE Working Papers 23-1465, Toulouse School of Economics (TSE).
    13. Filippini, Massimo & Wekhof, Tobias, 2021. "The effect of culture on energy efficient vehicle ownership," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    14. Pessoa, Joao Paulo & Santos, Roberto Amaral & Chimeli, Ariaster, 2023. "Natural Gas Vehicles: Consequences to Fuel Markets and the Environment," SocArXiv 7tvgy, Center for Open Science.
    15. Jordi Perdiguero & Juan Luis Jiménez, 2012. "“Policy options for the promotion of electric vehicles: a review”," IREA Working Papers 201208, University of Barcelona, Research Institute of Applied Economics, revised Mar 2012.
    16. Demet Yilmazkuday & Hakan Yilmazkuday, 2019. "Redistributive Effects of Gasoline Prices," Networks and Spatial Economics, Springer, vol. 19(1), pages 109-124, March.
    17. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    18. Higueras-Castillo, Elena & Liébana-Cabanillas, Francisco José & Muñoz-Leiva, Francisco & García-Maroto, Inmaculada, 2019. "Evaluating consumer attitudes toward electromobility and the moderating effect of perceived consumer effectiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 387-398.
    19. Jeremy van Dijk & Mehdi Farsi, 2022. "Who is afraid of electric vehicles? An analysis of stated EV preferences in Switzerland," IRENE Working Papers 22-04, IRENE Institute of Economic Research.
    20. Heutel, Garth & Muehlegger, Erich, 2010. "Consumer Learning and Hybrid Vehicle Adoption," Working Paper Series rwp10-013, Harvard University, John F. Kennedy School of Government.
    21. Burke, Paul J. & Nishitateno, Shuhei, 2013. "Gasoline prices, gasoline consumption, and new-vehicle fuel economy: Evidence for a large sample of countries," Energy Economics, Elsevier, vol. 36(C), pages 363-370.
    22. James Bushnell & David Rapson, 2022. "The Electric Ceiling: Limits and Costs of Full Electrification," Working Papers 2220, Federal Reserve Bank of Dallas.
    23. Tenkorang, Frank & Dority, Bree L. & Bridges, Deborah & Lam, Eddery, 2015. "Relationship between ethanol and gasoline: AIDS approach," Energy Economics, Elsevier, vol. 50(C), pages 63-69.
    24. Yoo, Sunbin & Koh, Kyung Woong & Yoshida, Yoshikuni, 2020. "Are Consumers Abandoning Diesel Automobiles because of Contrasting Diesel Policies? Evidence from the Korean Automobile Market," MPRA Paper 103311, University Library of Munich, Germany.
    25. DeShazo, J.R. & Sheldon, Tamara L. & Carson, Richard T., 2017. "Designing policy incentives for cleaner technologies: Lessons from California's plug-in electric vehicle rebate program," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 18-43.
    26. Jeremy Dijk & Nathan Delacrétaz & Bruno Lanz, 2022. "Technology Adoption and Early Network Infrastructure Provision in the Market for Electric Vehicles," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 631-679, November.
    27. Delgado, Michael S. & Harriger, Jessica L. & Khanna, Neha, 2015. "The value of environmental status signaling," Ecological Economics, Elsevier, vol. 111(C), pages 1-11.
    28. Haaf, C. Grace & Morrow, W. Ross & Azevedo, Inês M.L. & Feit, Elea McDonnell & Michalek, Jeremy J., 2016. "Forecasting light-duty vehicle demand using alternative-specific constants for endogeneity correction versus calibration," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 182-210.
    29. Xing, Jianwei & Leard, Benjamin & Li, Shanjun, 2021. "What does an electric vehicle replace?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    30. Tobias Schultheiss & Uschi Backes-Gellner, 2024. "Does updating education curricula accelerate technology adoption in the workplace? Evidence from dual vocational education and training curricula in Switzerland," The Journal of Technology Transfer, Springer, vol. 49(1), pages 191-235, February.
    31. Jonathan E. Hughes & Molly Podolefsky, 2015. "Getting Green with Solar Subsidies: Evidence from the California Solar Initiative," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(2), pages 235-275.
    32. Alali, Layla & Niesten, Eva & Gagliardi, Dimitri, 2022. "The impact of UK financial incentives on the adoption of electric fleets: The moderation effect of GDP change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 200-220.
    33. Nathan Delacrétaz & Bruno Lanz & Jeremy van Dijk, 2020. "The chicken or the egg: Technology adoption and network infrastructure in the market for electric vehicles," IRENE Working Papers 20-08, IRENE Institute of Economic Research.
    34. Azarafshar, Roshanak & Vermeulen, Wessel N., 2020. "Electric vehicle incentive policies in Canadian provinces," Energy Economics, Elsevier, vol. 91(C).
    35. Wei Wei & Ming Cao & Qianling Jiang & Sheng-Jung Ou & Hong Zou, 2020. "What Influences Chinese Consumers’ Adoption of Battery Electric Vehicles? A Preliminary Study Based on Factor Analysis," Energies, MDPI, vol. 13(5), pages 1-15, February.
    36. Latino, Carmelo & Pelizzon, Loriana & Riedel, Max, 2023. "How to green the European Auto ABS market? A literature survey," SAFE Working Paper Series 391, Leibniz Institute for Financial Research SAFE.
    37. Melissa Boyle & Victor Matheson, 2009. "Measuring tax incidence: a natural experiment in the hybrid vehicle market," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 10(2), pages 101-107, June.
    38. Youming Liu & Shanjun Li & Caixia Shen, 2020. "The Dynamic Efficiency in Resource Allocation: Evidence from Vehicle License Lotteries in Beijing," NBER Working Papers 26904, National Bureau of Economic Research, Inc.
    39. Klier, Thomas & Linn, Joshua, 2013. "Fuel prices and new vehicle fuel economy—Comparing the United States and Western Europe," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 280-300.
    40. van Benthem, Arthur & Pless, Jacquelyn, 2017. "Pass-Through as a Test for Market Power: An Application to Solar Subsidies," CEPR Discussion Papers 11908, C.E.P.R. Discussion Papers.
    41. Austin, Wes & Carattini, Stefano & Gomez-Mahecha, John & Pesko, Michael F., 2023. "The effects of contemporaneous air pollution on COVID-19 morbidity and mortality," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    42. Anil Khurana & V. V. Ravi Kumar & Manish Sidhpuria, 2020. "A Study on the Adoption of Electric Vehicles in India: The Mediating Role of Attitude," Vision, , vol. 24(1), pages 23-34, March.
    43. Thomas Klier & Joshua Linn, 2011. "Fuel Prices and New Vehicle Fuel Economy in Europe," Working Papers 1117, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
    44. Matthew E. Kahn & Jerry Nickelsburg, 2016. "An Economic Analysis of U.S Airline Fuel Economy Dynamics from 1991 to 2015," NBER Working Papers 22830, National Bureau of Economic Research, Inc.
    45. Erich Muehlegger & David S. Rapson, 2018. "Subsidizing Low- and Middle-Income Adoption of Electric Vehicles: Quasi-Experimental Evidence from California," NBER Working Papers 25359, National Bureau of Economic Research, Inc.
    46. Pavan, Giulia, 2017. "Green Car Adoption and the Supply of Alternative Fuels," TSE Working Papers 17-875, Toulouse School of Economics (TSE).
    47. Kahn Matthew E & Vaughn Ryan K., 2009. "Green Market Geography: The Spatial Clustering of Hybrid Vehicles and LEED Registered Buildings," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(2), pages 1-24, March.
    48. Constantin Kempf & Juerg Syz, 2022. "Why pay for sustainable housing? Decomposing the green premium of the residential property market in the Canton of Zurich, Switzerland," SN Business & Economics, Springer, vol. 2(11), pages 1-39, November.
    49. Reid, Sergey & Spence, David B., 2016. "Methodology for evaluating existing infrastructure and facilitating the diffusion of PEVs," Energy Policy, Elsevier, vol. 89(C), pages 1-10.
    50. Liu, Yizao, 2014. "Household demand and willingness to pay for hybrid vehicles," Energy Economics, Elsevier, vol. 44(C), pages 191-197.
    51. Huseynov, Samir & Palma, Marco A., 2018. "Does California’s LCFS Reduce CO2 Emissions?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274200, Agricultural and Applied Economics Association.
    52. Cincotta, Costanza & Thomassen, Øyvind, 2023. "Evaluating Norway’s electric vehicle incentives," Discussion Papers 2023/19, Norwegian School of Economics, Department of Business and Management Science.
    53. Münzel, Christiane & Plötz, Patrick & Sprei, Frances & Gnann, Till, 2019. "How large is the effect of financial incentives on electric vehicle sales? – A global review and European analysis," Energy Economics, Elsevier, vol. 84(C).
    54. Leard, Benjamin & Li, Shanjun & Xing, Jianwei, 2019. "What Does an Electric Vehicle Replace?," RFF Working Paper Series 19-05, Resources for the Future.
    55. Langford, Richard P. & Gillingham, Kenneth, 2023. "Quantifying the benefits of the introduction of the hybrid electric vehicle," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    56. Thoenes, Stefan & Gores, Timo, 2012. "Attention, Media and Fuel Efficiency," EWI Working Papers 2012-11, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    57. Ibrahim Alhulail & Kenji Takeuchi, 2014. "Effects of Tax Incentives on Sales of Eco-Friendly Vehicles: Evidence from Japan," Discussion Papers 1412, Graduate School of Economics, Kobe University.
    58. Wang, Ning & Tang, Linhao & Pan, Huizhong, 2018. "Analysis of public acceptance of electric vehicles: An empirical study in Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 284-291.
    59. Tanaka, Shinsuke, 2020. "When tax incentives drive illicit behavior: The manipulation of fuel economy in the automobile industry," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    60. Yizao Liu, 2018. "The effects of competitors on new product launch and market expansion in the hybrid car market," Empirical Economics, Springer, vol. 55(4), pages 1849-1868, December.
    61. Alberini, Anna & Di Cosmo, Valeria & Bigano, Andrea, 2019. "How are fuel efficient cars priced? Evidence from eight EU countries," Energy Policy, Elsevier, vol. 134(C).
    62. Vergis, Sydney & Chen, Belinda, 2015. "Comparison of plug-in electric vehicle adoption in the United States: A state by state approach," Research in Transportation Economics, Elsevier, vol. 52(C), pages 56-64.
    63. Wangsness, Paal Brevik & Proost, Stef & Rødseth, Kenneth Løvold, 2018. "Vehicle choices and urban transport externalities. Are Norwegian policy makers getting it right?," Working Paper Series 2-2018, Norwegian University of Life Sciences, School of Economics and Business.
    64. Kenta TANAKA & Yukihide KURAKAWA & Takunori ISHIHARA & Ken-ichi AKAO & Takanori IDA, 2020. "Moral utility or Moral Tax? Experimental Study of Electricity Conservation by Social Comparison," Discussion papers e-19-011, Graduate School of Economics , Kyoto University.
    65. Li,Shanjun & Xing,Jianwei & Yang,Lin & Zhang,Fan, 2020. "Transportation and the Environment : A Review of Empirical Literature," Policy Research Working Paper Series 9421, The World Bank.
    66. Zhang, Junjie & Jia, Rongwen & Yang, Hangjun & Dong, Kangyin, 2022. "Does electric vehicle promotion in the public sector contribute to urban transport carbon emissions reduction?," Transport Policy, Elsevier, vol. 125(C), pages 151-163.
    67. Wee, Sherilyn & Coffman, Makena & Allen, Scott, 2020. "EV driver characteristics: Evidence from Hawaii," Transport Policy, Elsevier, vol. 87(C), pages 33-40.
    68. Bassem Haidar & Pascal da Costa & Jan Lepoutre & Yannick Perez, 2019. "Corri-door project: did it really boost the french electric vehicle market?," Post-Print hal-02438211, HAL.
    69. Soren T. Anderson & James M. Sallee, 2016. "Designing Policies to Make Cars Greener: A Review of the Literature," NBER Working Papers 22242, National Bureau of Economic Research, Inc.
    70. Leard, Benjamin & Wu, Yidi, 2023. "New Passenger Vehicle Demand Elasticities: Estimates and Policy Implications," RFF Working Paper Series 23-33, Resources for the Future.
    71. Seiho Kim & Jaesik Lee & Chulung Lee, 2017. "Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    72. Weiss, Martin & Patel, Martin K. & Junginger, Martin & Perujo, Adolfo & Bonnel, Pierre & van Grootveld, Geert, 2012. "On the electrification of road transport - Learning rates and price forecasts for hybrid-electric and battery-electric vehicles," Energy Policy, Elsevier, vol. 48(C), pages 374-393.
    73. Gulati, Sumeet & McAusland, Carol & Sallee, James M., 2017. "Tax incidence with endogenous quality and costly bargaining: Theory and evidence from hybrid vehicle subsidies," Journal of Public Economics, Elsevier, vol. 155(C), pages 93-107.
    74. Li, Shanjun & Liu, Yanyan & Zhang, Junjie, 2009. "Lose Some, Save Some: Obesity, Automobile Demand, and Gasoline Consumption in the U.S," RFF Working Paper Series dp-09-34, Resources for the Future.
    75. Wee, Sherilyn & Coffman, Makena & La Croix, Sumner, 2018. "Do electric vehicle incentives matter? Evidence from the 50 U.S. states," Research Policy, Elsevier, vol. 47(9), pages 1601-1610.
    76. Helm, Ines & Koch, Nicolas & Rohlf, Alexander, 2023. "The effects of cash for clunkers on local air quality," Journal of Urban Economics, Elsevier, vol. 138(C).
    77. Rosburg, Alicia Sue, 2012. "Essays concerning the cellulosic biofuel industry," ISU General Staff Papers 201201010800003732, Iowa State University, Department of Economics.
    78. Wes Austin & Stefano Carattini & John Gomez Mahecha & Michael Pesko, 2020. "Covid-19 Mortality and Contemporaneous Air Pollution," CESifo Working Paper Series 8609, CESifo.
    79. Egnér, Filippa & Trosvik, Lina, 2018. "Electric vehicle adoption in Sweden and the impact of local policy instruments," Energy Policy, Elsevier, vol. 121(C), pages 584-596.
    80. Alberini, Anna & Bareit, Markus, 2019. "The effect of registration taxes on new car sales and emissions: Evidence from Switzerland," Resource and Energy Economics, Elsevier, vol. 56(C), pages 96-112.
    81. Ivan K. W. Lai & Yide Liu & Xinbo Sun & Hao Zhang & Weiwei Xu, 2015. "Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau," Sustainability, MDPI, vol. 7(9), pages 1-22, September.
    82. Steven M. Shugan & Debanjan Mitra, 2014. "A Theory for Market Growth or Decline," Marketing Science, INFORMS, vol. 33(1), pages 47-65, January.
    83. Werner Antweiler & Sumeet Gulati, 2013. "Market-Based Policies for Green Motoring in Canada," Canadian Public Policy, University of Toronto Press, vol. 39(s2), pages 81-94, August.
    84. Gabor Tury, 2019. "Electromobility in the Automotive Industry. What Role Does Technology Change Play in the Geographic Pattern of Production?," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 7(2), pages 112-120, December.
    85. Xian Zhang & Ke Wang & Yu Hao & Yi-Ming Wei & Jing-Li Fan, 2016. "The impact of government policy on preference for NEVs: the evidence from China," CEEP-BIT Working Papers 88, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    86. Alexandros Dimitropoulos & Jos N. van Ommeren & Paul Koster & Piet Rietveld†, 2014. "Welfare Effects of Distortionary Tax Incentives under Preference Heterogeneity: An Application to Employer-provided Electric Cars," Tinbergen Institute Discussion Papers 14-064/VIII, Tinbergen Institute.
    87. Yuqing Lin & Jingjing Wu & Yongqing Xiong, 2021. "Sensitivity of the Nonsubsidized Consumption Promotion Mechanisms of New Energy Vehicles to Potential Consumers’ Purchase Intention," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
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    89. Thomas Klier & Joshua Linn, 2015. "Using Taxes to Reduce Carbon Dioxide Emissions Rates of New Passenger Vehicles: Evidence from France, Germany, and Sweden," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 212-242, February.
    90. Sun, Lishan & Huang, Yuchen & Liu, Shuli & Chen, Yanyan & Yao, Liya & Kashyap, Anil, 2017. "A completive survey study on the feasibility and adaptation of EVs in Beijing, China," Applied Energy, Elsevier, vol. 187(C), pages 128-139.
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    92. Li, Xiaomin & Chen, Pu & Wang, Xingwu, 2017. "Impacts of renewables and socioeconomic factors on electric vehicle demands – Panel data studies across 14 countries," Energy Policy, Elsevier, vol. 109(C), pages 473-478.
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    94. Fageda, Xavier & Flores-Fillol, Ricardo & Theilen, Bernd, 2022. "Price versus quantity measures to deal with pollution and congestion in urban areas: A political economy approach," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
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    96. Sun, Shanxia & Delgado, Michael & Khanna, Neha, 2017. "Hybrid Vehicles and Household Driving Behavior: Implications for Miles Traveled and Gasoline Consumption," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258502, Agricultural and Applied Economics Association.
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    98. Ahmed, Rasha & Stater, Mark, 2017. "Is energy efficiency underprovided? An analysis of the provision of energy efficiency in multi-attribute products," Resource and Energy Economics, Elsevier, vol. 49(C), pages 132-149.
    99. KITANO Taiju, 2013. "Disguised Protectionism? Environmental Policy in the Japanese Car Market," Discussion papers 13059, Research Institute of Economy, Trade and Industry (RIETI).
    100. Laura Grigolon & Eunseong Park & Kevin Remmy, 2024. "Fueling Electrification: The Impact of Gas Prices on Hybrid Car Usage," CRC TR 224 Discussion Paper Series crctr224_2024_494, University of Bonn and University of Mannheim, Germany.
    101. Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.
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  5. Arie Beresteanu & Francesca Molinari, 2008. "Asymptotic Properties for a Class of Partially Identified Models," Econometrica, Econometric Society, vol. 76(4), pages 763-814, July.
    See citations under working paper version above.
  6. Arie Beresteanu, 2005. "Nonparametric Analysis of Cost Complementarities in the Telecommunications Industry," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 870-889, Winter.
    See citations under working paper version above.

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