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Francesca Molinari

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:

    Mentioned in:

    1. Por que é tão difícil reformar a Previdência?
      by Pedro Fernando Nery in Brasil Economia e Governo on 2016-10-04 19:19:27
    2. H-Index for Journals
      by Francis Diebold in No Hesitations on 2018-03-08 17:47:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178, arXiv.org.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Measurement

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)

    Mentioned in:

    1. Review of Economic Studies in Wikipedia (French)
    2. The Review of Economic Studies in Wikipedia (German)
  1. Levon Barseghyan & Francesca Molinari & Ted O'Donoghue & Joshua C. Teitelbaum, 2013. "The Nature of Risk Preferences: Evidence from Insurance Choices," American Economic Review, American Economic Association, vol. 103(6), pages 2499-2529, October.

    Mentioned in:

    1. The Nature of Risk Preferences: Evidence from Insurance Choices (AER 2013) in ReplicationWiki ()

Working papers

  1. Levon Barseghyan & Francesca Molinari, 2023. "Risk Preference Types, Limited Consideration, and Welfare," Papers 2307.09411, arXiv.org.

    Cited by:

    1. Thomas Dohmen & Georgios Gerasimou, 2024. "Learning to Maximize (Expected) Utility," Papers 2402.16538, arXiv.org.
    2. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu, 2023. "Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1030-1034, October.
    3. Glenn W. Harrison, 2024. "Risk preferences and risk perceptions in insurance experiments: some methodological challenges," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 127-161, March.

  2. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.

    Cited by:

    1. Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," Papers 2307.11857, arXiv.org.
    2. 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.
    3. Eric Gautier & Christiern Rose, 2022. "Fast, Robust Inference for Linear Instrumental Variables Models using Self-Normalized Moments," Papers 2211.02249, arXiv.org, revised Nov 2022.
    4. Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
    5. Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
    6. Daniel Kaliski, 2023. "Identifying the impact of health insurance on subgroups with changing rates of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2098-2112, September.
    7. Lixiong Li & D'esir'e K'edagni & Ismael Mourifi'e, 2020. "Discordant Relaxations of Misspecified Models," Papers 2012.11679, arXiv.org, revised Apr 2024.
    8. Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2022. "Partially Linear Models under Data Combination," NBER Working Papers 29953, National Bureau of Economic Research, Inc.
    9. Marinho Bertanha & Margaux Luflade & Ismael Mourifié, 2024. "Causal Effects in Matching Mechanisms with Strategically Reported Preferences," NBER Working Papers 32434, National Bureau of Economic Research, Inc.
    10. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    11. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2023. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Papers 2302.13429, arXiv.org.
    12. Jorg Stoye, 2020. "A Simple, Short, but Never-Empty Confidence Interval for Partially Identified Parameters," Papers 2010.10484, arXiv.org, revised Dec 2020.
    13. Bloem, Jeffrey R. & Rahman, Khandker Wahedur, 2024. "What I say depends on how you ask: Experimental evidence of the effect of framing on the measurement of attitudes," Economics Letters, Elsevier, vol. 238(C).
    14. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    15. Aibo Gong, 2021. "Bounds for Treatment Effects in the Presence of Anticipatory Behavior," Papers 2111.06573, arXiv.org, revised Dec 2022.
    16. Jeff Dominitz & Charles F. Manski, 2024. "Using Total Margin of Error to Account for Non-Sampling Error in Election Polls: The Case of Nonresponse," Papers 2407.19339, arXiv.org, revised Oct 2024.
    17. 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).
    18. Nathan Canen & Kristopher Ramsay, 2023. "Quantifying Theory in Politics: Identification, Interpretation and the Role of Structural Methods," Papers 2302.01897, arXiv.org.
    19. Xiaohong Chen & Matthew Gentry & Tong Li & Jingfeng Lu, 2020. "Identification and Inference in First-Price Auctions with Risk Averse Bidders and Selective Entry," Cowles Foundation Discussion Papers 2257, Cowles Foundation for Research in Economics, Yale University.
    20. Jörg Stoye, 2022. "Bounding infection prevalence by bounding selectivity and accuracy of tests: with application to early COVID-19," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 1-14.
    21. Sarah Moon, 2024. "Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model," Papers 2403.07236, arXiv.org, revised May 2024.
    22. Jonathan Roth & Guillaume Saint-Jacques & YinYin Yu, 2021. "An Outcome Test of Discrimination for Ranked Lists," Papers 2111.07889, arXiv.org.
    23. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," NBER Working Papers 27023, National Bureau of Economic Research, Inc.
    24. Nathan Kallus, 2022. "What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment," Papers 2205.10327, arXiv.org, revised Nov 2022.
    25. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    26. Bei, Xinyue, 2024. "Local linearization based subvector inference in moment inequality models," Journal of Econometrics, Elsevier, vol. 238(1).
    27. Kim, Dongwoo, 2023. "Partially identifying competing risks models: An application to the war on cancer," Journal of Econometrics, Elsevier, vol. 234(2), pages 536-564.
    28. 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.
    29. Xiaoyu Cheng, 2022. "Robust Data-Driven Decisions Under Model Uncertainty," Papers 2205.04573, arXiv.org.
    30. Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2023. "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," Natural Field Experiments 00776, The Field Experiments Website.
    31. Phillip Heiler, 2022. "Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization," Papers 2209.04329, arXiv.org, revised Jul 2024.
    32. Ryo Okui, 2021. "A moment inequality approach to statistical inference for rankings," The Japanese Economic Review, Springer, vol. 72(2), pages 169-184, April.
    33. Chalak, Karim, 2024. "Nonparametric Gini-Frisch bounds," Journal of Econometrics, Elsevier, vol. 238(1).
    34. Paul S. Koh, 2022. "Stable Outcomes and Information in Games: An Empirical Framework," Papers 2205.04990, arXiv.org, revised May 2023.
    35. Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org, revised Nov 2024.
    36. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
    37. Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
    38. Eric Auerbach & Yong Cai, 2023. "Identifying Socially Disruptive Policies," Papers 2306.15000, arXiv.org, revised Jun 2023.
    39. Charles F. Manski, 2022. "Identification and Statistical Decision Theory," Papers 2204.11318, arXiv.org, revised Mar 2024.
    40. Suguru Otani, 2021. "Estimating Endogenous Coalitional Mergers: Merger Costs and Assortativeness of Size and Specialization," Papers 2108.12744, arXiv.org, revised Mar 2023.
    41. Koh, Paul S., 2023. "Stable outcomes and information in games: An empirical framework," Journal of Econometrics, Elsevier, vol. 237(1).

  3. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178, arXiv.org.

    Cited by:

    1. Kent A. Smetters, 2020. "Stay-at-home orders and second waves: a graphical exposition," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 94-103, September.
    2. Ichino, Andrea & Favero, Carlo A. & Rustichini, Aldo, 2020. "Restarting the economy while saving lives under Covid-19," CEPR Discussion Papers 14664, C.E.P.R. Discussion Papers.
    3. Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
    4. Khan, Haider, 2020. "Economic Impact of COVID-19 On Bangladesh: Agenda for Immediate Action and Planning for the Future," MPRA Paper 100380, University Library of Munich, Germany.
    5. Rayhan & M. Abdullah-Al-Wadud & M. Helal Uddin Ahmed, 2023. "Assessing the global impact of COVID-19 vaccination," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(1), pages 478-484, January.
    6. Daniel W. Sacks & Nir Menachemi & Peter Embi & Coady Wing, 2020. "What can we learn about SARS-CoV-2 prevalence from testing and hospital data?," Papers 2008.00298, arXiv.org, revised Mar 2021.
    7. Shin KINOSHITA & Masayuki SATO & Takanori IDA, 2022. "Bayesian Probability Revision and Infection Prevention Behavior in Japan : A Quantitative Analysis of the First Wave of COVID-19," Discussion papers e-22-004, Graduate School of Economics , Kyoto University.
    8. Yothin Jinjarak & Rashad Ahmed & Sameer Nair-Desai & Weining Xin & Joshua Aizenman, 2020. "Accounting for Global COVID-19 Diffusion Patterns, January-April 2020," NBER Working Papers 27185, National Bureau of Economic Research, Inc.
    9. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline van den Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2020. "Socio-Demographic Factors Associated with Self-Protecting Behavior during the Covid-19 Pandemic," NBER Working Papers 27378, National Bureau of Economic Research, Inc.
    10. Theologos Dergiades & Costas Milas & Elias Mossialos & Theodore Panagiotidis, 2021. "Effectiveness of Government Policies in Response to the COVID-19 Outbreak," Discussion Paper Series 2021_05, Department of Economics, University of Macedonia, revised Feb 2021.
    11. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2021. "Optimal Lockdown in a Commuting Network," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 503-522, December.
    12. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 2021-09, FEDEA.
    13. Michael Barnett & Greg Buchak & Constantine Yannelis, 2020. "Epidemic Responses Under Uncertainty," NBER Working Papers 27289, National Bureau of Economic Research, Inc.
    14. Karl M. Aspelund & Michael C. Droste & James H. Stock & Christopher D. Walker, 2020. "Identification and Estimation of Undetected COVID-19 Cases Using Testing Data from Iceland," NBER Working Papers 27528, National Bureau of Economic Research, Inc.
    15. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2020. "Optimal Targeted Lockdowns in a Multi-Group SIR Model," NBER Working Papers 27102, National Bureau of Economic Research, Inc.
    16. Sokbae (Simon) Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," CeMMAP working papers CWP32/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Garriga, Carlos & Manuelli, Rody & Sanghi, Siddhartha, 2022. "Optimal management of an epidemic: Lockdown, vaccine and value of life," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    18. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Gourieroux, C. & Jasiak, J., 2023. "Time varying Markov process with partially observed aggregate data: An application to coronavirus," Journal of Econometrics, Elsevier, vol. 232(1), pages 35-51.
    20. Andrew T. Levin & William P. Hanage & Nana Owusu-Boaitey & Kensington B. Cochran & Seamus P. Walsh & Gideon Meyerowitz-Katz, 2020. "Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-analysis, & Public Policy Implications," NBER Working Papers 27597, National Bureau of Economic Research, Inc.
    21. Centorrino, Samuele & Parmeter, Christopher F., 2024. "Nonparametric estimation of stochastic frontier models with weak separability," Journal of Econometrics, Elsevier, vol. 238(2).
    22. Masashige Hamano & Munechika Katayama & So Kubota, 2020. "COVID-19 Misperception and Macroeconomy," Working Papers 2016, Waseda University, Faculty of Political Science and Economics.
    23. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    24. Toru Kitagawa & Guanyi Wang, 2020. "Who Should Get Vaccinated? Individualized Allocation of Vaccines Over SIR Network," Papers 2012.04055, arXiv.org, revised Jul 2021.
    25. La Torre, Davide & Liuzzi, Danilo & Marsiglio, Simone, 2021. "Epidemics and macroeconomic outcomes: Social distancing intensity and duration," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    26. Robert S. Pindyck, 2020. "COVID-19 and the Welfare Effects of Reducing Contagion," NBER Working Papers 27121, National Bureau of Economic Research, Inc.
    27. Badi H. Baltagi & Ying Deng & Jing Li & Zhenlin Yang, 2022. "Cities in a Pandemic: Evidence from China," Center for Policy Research Working Papers 251, Center for Policy Research, Maxwell School, Syracuse University.
    28. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    29. Chen, Xi & Qiu, Yun & Shi, Wei & Yu, Pei, 2022. "Key Links in Network Interactions: Assessing Route-Specific Travel Restrictions in China during the COVID-19 Pandemic," IZA Discussion Papers 15038, Institute of Labor Economics (IZA).
    30. Lucas Bretschger & Elise Grieg & Paul J. J. Welfens & Tian Xiong, 2020. "COVID-19 infections and fatalities developments: empirical evidence for OECD countries and newly industrialized economies," International Economics and Economic Policy, Springer, vol. 17(4), pages 801-847, October.
    31. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.
    32. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, Institute of Labor Economics (IZA).
    33. Blas A. Marin-Lopez & David Jimenez-Gomez & José-María Abellán-Perpiñán, 2022. "Behavioral Economics in the Epidemiology of the COVID-19 Pandemic: Theory and Simulations," IJERPH, MDPI, vol. 19(15), pages 1-23, August.
    34. Kitagawa, Toru & Wang, Guanyi, 2023. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," Journal of Econometrics, Elsevier, vol. 232(1), pages 109-131.
    35. Jörg Stoye, 2022. "Bounding infection prevalence by bounding selectivity and accuracy of tests: with application to early COVID-19," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 1-14.
    36. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    37. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).
    38. Korolev, Ivan, 2021. "Identification and estimation of the SEIRD epidemic model for COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 63-85.
    39. Adak, Debadatta & Majumder, Abhijit & Bairagi, Nandadulal, 2021. "Mathematical perspective of Covid-19 pandemic: Disease extinction criteria in deterministic and stochastic models," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    40. Guccio, Calogero, 2021. "Measuring resilience and fatality rate during the first wave of COVID-19 pandemic in Northern Italy: a note," EconStor Preprints 231374, ZBW - Leibniz Information Centre for Economics.
    41. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2022. "From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1517-1550, October.
    42. Francesco Flaviano Russo, 2020. "Testing Policies During an Epidemic," CSEF Working Papers 591, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    43. Liu, Xingfei & Wang, Chuhong & Yan, Zizhong & Zhao, Yi, 2022. "Higher Education Expansion and Crime: New Evidence from China," Working Papers 2022-2, University of Alberta, Department of Economics.
    44. Brantly Callaway & Tong Li, 2021. "Policy Evaluation during a Pandemic," Papers 2105.06927, arXiv.org, revised Oct 2022.
    45. Jung, Juergen & Manley, James & Shrestha, Vinish, 2021. "Coronavirus infections and deaths by poverty status: The effects of social distancing," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 311-330.
    46. He, Qichun, 2020. "The COVID-19 Pandemic in a Monetary Schumpeterian Model," MPRA Paper 101965, University Library of Munich, Germany.
    47. Cem Cakmakli & Yasin Simsek, 2020. "Bridging the COVID-19 Data and the Epidemiological Model using Time Varying Parameter SIRD Model," Papers 2007.02726, arXiv.org, revised Feb 2021.
    48. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2022. "What cannot be cured must be endured: The long-lasting effect of a COVID-19 infection on workplace productivity," Labour Economics, Elsevier, vol. 79(C).
    49. Seth M. Freedman & Daniel W. Sacks & Kosali I. Simon & Coady Wing, 2022. "Direct and indirect effects of vaccines: Evidence from COVID-19," NBER Working Papers 30550, National Bureau of Economic Research, Inc.
    50. Jose Olmo & Marcos Sanso‐Navarro, 2021. "Modeling the spread of COVID‐19 in New York City," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1209-1229, October.
    51. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2022. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," Working Papers 22-18, Federal Reserve Bank of Philadelphia.
    52. Charles F. Manski, 2020. "Bounding the Predictive Values of COVID-19 Antibody Tests," NBER Working Papers 27226, National Bureau of Economic Research, Inc.
    53. John Mullahy, 2020. "Discovering Treatment Effectiveness via Median Treatment Effects—Applications to COVID-19 Clinical Trials," NBER Working Papers 27895, National Bureau of Economic Research, Inc.
    54. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    55. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    56. Allan Dizioli & Roberto Pinheiro, 2021. "How Sure Can We Be about a COVID-19 Test Result if the Tests Are Not Perfectly Accurate?," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(12), pages 1-4, May.
    57. 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.
    58. Zakharov, Nikita, 2020. "The protective effect of smoking against COVID-19: A population-based study using instrumental variables," MPRA Paper 101267, University Library of Munich, Germany.
    59. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
    60. Toru Kitagawa & Guanyi Wang, 2020. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP59/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    61. Franco Peracchi & Daniele Terlizzese, 2020. "Estimating the prevalence of the COVID-19 infection, with an application to Italy," EIEF Working Papers Series 2013, Einaudi Institute for Economics and Finance (EIEF), revised May 2020.
    62. Panos Toulis, 2020. "Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach," Papers 2006.16214, arXiv.org.
    63. Ziyuan Xia & Jeffery Chen & Anchen Sun, 2021. "Mining the Relationship Between COVID-19 Sentiment and Market Performance," Papers 2101.02587, arXiv.org, revised Mar 2023.
    64. Toru Kitagawa & Guanyi Wang, 2021. "Who should get vaccinated? Individualized allocation of vaccines over SIR network," CeMMAP working papers CWP28/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    65. Charles F. Manski, 2021. "Vaccination Planning under Uncertainty, with Application to Covid-19," NBER Working Papers 28446, National Bureau of Economic Research, Inc.
    66. Cai, Junyang & Zhou, Jian, 2022. "How many asymptomatic cases were unconfirmed in the US COVID-19 pandemic? The evidence from a serological survey," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    67. John Mullahy, 2021. "Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1050-1069, May.
    68. Huberts, Nick F.D. & Thijssen, Jacco J.J., 2023. "Optimal timing of non-pharmaceutical interventions during an epidemic," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1366-1389.
    69. 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.

  4. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019. "Constraint Qualifications in Partial Identification," Papers 1908.09103, arXiv.org, revised Apr 2021.

    Cited by:

    1. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
    2. 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).
    3. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    4. Bei, Xinyue, 2024. "Local linearization based subvector inference in moment inequality models," Journal of Econometrics, Elsevier, vol. 238(1).
    5. Gregory Cox, 2022. "A Generalized Argmax Theorem with Applications," Papers 2209.08793, arXiv.org.
    6. 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.
    7. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.

  5. 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.

    Cited by:

    1. Wunsch, Conny & Strittmatter, Anthony, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," CEPR Discussion Papers 15840, C.E.P.R. Discussion Papers.
    2. , 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.

  6. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2019. "Heterogeneous Choice Sets and Preferences," Papers 1907.02337, arXiv.org, revised Feb 2021.

    Cited by:

    1. Steven Berry & Philip Haile, 2023. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," Cowles Foundation Discussion Papers 2357, Cowles Foundation for Research in Economics, Yale University.
    2. Victor H. Aguiar & Maria Jose Boccardi & Nail Kashaev & Jeongbin Kim, 2018. "Random Utility and Limited Consideration," Papers 1812.09619, arXiv.org, revised Jul 2022.
    3. Matthew Kovach & Elchin Suleymanov, 2021. "Reference Dependence and Random Attention," Papers 2106.13350, arXiv.org, revised Mar 2023.
    4. Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
    5. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
    6. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete Choice under Risk with Limited Consideration," Papers 1902.06629, arXiv.org, revised Jan 2021.
    7. Valentino Dardanoni & Paola Manzini & Marco Mariotti & Christopher J. Tyson, 2018. "Inferring Cognitive Heterogeneity from Aggregate Choices," Working Paper Series 1018, Department of Economics, University of Sussex Business School.
    8. Steven T. Berry & Philip A. Haile, 2024. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," Econometrica, Econometric Society, vol. 92(4), pages 1135-1162, July.
    9. Ante Sterc, 2022. "Limited Consideration in the Investment Fund Choice," CERGE-EI Working Papers wp729, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    10. 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).
    11. Alex Gershkov & Benny Moldovanu & Philipp Strack & Mengxi Zhang, 2023. "Optimal Insurance: Dual Utility, Random Losses and Adverse Selection," ECONtribute Discussion Papers Series 242, University of Bonn and University of Cologne, Germany.
    12. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    13. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    14. 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.
    15. Yaron Azrieli & John Rehbeck, 2022. "Marginal stochastic choice," Papers 2208.08492, arXiv.org.
    16. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Johannes G. Jaspersen & Marc A. Ragin & Justin R. Sydnor, 2022. "Insurance demand experiments: Comparing crowdworking to the lab," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 1077-1107, December.
    18. Kamat, Vishal, 2019. "Identification with Latent Choice Sets," TSE Working Papers 19-1031, Toulouse School of Economics (TSE).
    19. Lixiong Li & Marc Henry, 2022. "Finite Sample Inference in Incomplete Models," Papers 2204.00473, arXiv.org, revised Apr 2024.
    20. Adams-Prassl, Abigail, 2019. "Mutually Consistent Revealed Preference Demand Predictions," CEPR Discussion Papers 13580, C.E.P.R. Discussion Papers.
    21. Kamat, Vishal, 2024. "Identifying the effects of a program offer with an application to Head Start," Journal of Econometrics, Elsevier, vol. 240(1).
    22. Hermanns, Benedicta & Kairies-Schwarz, Nadja & Kokot, Johanna & Vomhof, Markus, 2023. "Heterogeneity in health insurance choice: An experimental investigation of consumer choice and feature preferences," hche Research Papers 29, University of Hamburg, Hamburg Center for Health Economics (hche).
    23. Eleni Aristodemou & Adam M. Rosen, 2022. "A discrete choice model for partially ordered alternatives," Quantitative Economics, Econometric Society, vol. 13(3), pages 863-906, July.
    24. 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.
    25. Glenn W. Harrison, 2024. "Risk preferences and risk perceptions in insurance experiments: some methodological challenges," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 127-161, March.
    26. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
    27. YingHua He & Shruti Sinha & Xiaoting Sun, 2021. "Identification and Estimation in Many-to-one Two-sided Matching without Transfers," Papers 2104.02009, arXiv.org, revised Jul 2023.
    28. Larry G Epstein & Kaushil Patel, 2024. "Identifying Heterogeneous Decision Rules From Choices When Menus Are Unobserved," Papers 2405.09500, arXiv.org.
    29. Takeshi Fukasawa, 2022. "The Biases in Applying Static Demand Models under Dynamic Demand," Discussion Paper Series DP2022-18, Research Institute for Economics & Business Administration, Kobe University, revised Jul 2022.

  7. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Andreas Tryphonides, 2023. "Online Appendix to "Identifying Preferences when Households are Financially Constrained"," Online Appendices 21-242, Review of Economic Dynamics.
    2. 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.
    3. Kaido, Hiroaki & Molinari, Francesca & Stoye, Jörg, 2022. "Constraint Qualifications In Partial Identification," Econometric Theory, Cambridge University Press, vol. 38(3), pages 596-619, June.
    4. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    5. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    6. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    7. 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.
    8. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Transparency in Structural Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 711-722, October.
    9. Andreas Tryphonides, 2020. "Identifying Preferences when Households are Financially Constrained," Papers 2005.02010, arXiv.org, revised Feb 2023.
    10. 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.

  8. Pamela Giustinelli & Charles F. Manski & Francesca Molinari, 2019. "Precise or Imprecise Probabilities? Evidence from Survey Response on Late-onset Dementia," NBER Working Papers 26125, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Marriage, Children, and Labor Supply: Beliefs and Outcomes," NBER Working Papers 26334, National Bureau of Economic Research, Inc.
    2. 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.
    3. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    4. Thomas Crossley & Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2021. "Examining income expectations in the college and early post-college periods: new distributional tests of rational expectations," IFS Working Papers W21/01, Institute for Fiscal Studies.
    5. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    6. Pamela Giustinelli & Matthew D. Shapiro, 2024. "SeaTE: Subjective Ex Ante Treatment Effect of Health on Retirement," American Economic Journal: Applied Economics, American Economic Association, vol. 16(2), pages 278-317, April.
    7. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2020. "Perceived and actual option values of college enrollment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 940-959, November.
    9. Jane Greve & Morten Saaby & Anders Rosdahl & Vibeke Tornhøj Christensen, 2021. "Uncertain occupational expectations at age 19 and later educational and labour market outcomes," LABOUR, CEIS, vol. 35(2), pages 163-191, June.
    10. Kirby Nielsen & Luca Rigotti, 2022. "Revealed Incomplete Preferences," Papers 2205.08584, arXiv.org, revised Oct 2022.

  9. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete Choice under Risk with Limited Consideration," Papers 1902.06629, arXiv.org, revised Jan 2021.

    Cited by:

    1. Victor H. Aguiar & Maria Jose Boccardi & Nail Kashaev & Jeongbin Kim, 2018. "Random Utility and Limited Consideration," Papers 1812.09619, arXiv.org, revised Jul 2022.
    2. Georgios Gerasimou, 2020. "Decision Conflict, Logit, and the Outside Option," Papers 2008.04229, arXiv.org, revised Nov 2024.
    3. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete Choice under Risk with Limited Consideration," Papers 1902.06629, arXiv.org, revised Jan 2021.
    4. Valentino Dardanoni & Paola Manzini & Marco Mariotti & Christopher J. Tyson, 2018. "Inferring Cognitive Heterogeneity from Aggregate Choices," Working Paper Series 1018, Department of Economics, University of Sussex Business School.
    5. Ante Sterc, 2022. "Limited Consideration in the Investment Fund Choice," CERGE-EI Working Papers wp729, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    7. 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.
    8. 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.
    9. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Johannes G. Jaspersen & Marc A. Ragin & Justin R. Sydnor, 2019. "Predicting Insurance Demand from Risk Attitudes," NBER Working Papers 26508, National Bureau of Economic Research, Inc.
    11. Han, Yafei & Pereira, Francisco Camara & Ben-Akiva, Moshe & Zegras, Christopher, 2022. "A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 166-186.
    12. Yicheng Song & Zhuoxin Li & Nachiketa Sahoo, 2022. "Matching Returning Donors to Projects on Philanthropic Crowdfunding Platforms," Management Science, INFORMS, vol. 68(1), pages 355-375, January.
    13. Martin, Simon, 2020. "Market transparency and consumer search - Evidence from the German retail gasoline market," DICE Discussion Papers 350, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    14. Christian Belzil & Julie Pernaudet & François Poinas, 2021. "Estimating Coherency between Survey Data and Incentivized Experimental Data," CIRANO Working Papers 2021s-30, CIRANO.
    15. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu, 2023. "Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1030-1034, October.
    16. Nikhil Agarwal & Paulo J. Somaini, 2022. "Demand Analysis under Latent Choice Constraints," NBER Working Papers 29993, National Bureau of Economic Research, Inc.
    17. Victor H. Aguiar & Nail Kashaev, 2019. "Identification and Estimation of Discrete Choice Models with Unobserved Choice Sets," Papers 1907.04853, arXiv.org, revised Jun 2021.
    18. Apesteguia, Jose & Ballester, Miguel A., 2023. "Random utility models with ordered types and domains," Journal of Economic Theory, Elsevier, vol. 211(C).
    19. Dahl, Gordon B. & Forbes, Silke J., 2023. "Doctor switching costs," Journal of Public Economics, Elsevier, vol. 221(C).
    20. Glenn W. Harrison, 2024. "Risk preferences and risk perceptions in insurance experiments: some methodological challenges," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 127-161, March.
    21. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
    22. Chew, Soo Hong & Miao, Bin & Shen, Qiang & Zhong, Songfa, 2022. "Multiple-switching behavior in choice-list elicitation of risk preference," Journal of Economic Theory, Elsevier, vol. 204(C).
    23. YingHua He & Shruti Sinha & Xiaoting Sun, 2021. "Identification and Estimation in Many-to-one Two-sided Matching without Transfers," Papers 2104.02009, arXiv.org, revised Jul 2023.

  10. Pamela Giustinelli & Charles F. Manski & Francesca Molinari, 2018. "Tail and Center Rounding of Probabilistic Expectations in the Health and Retirement Study," NBER Working Papers 24559, National Bureau of Economic Research, Inc.

    Cited by:

    1. 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.
    2. Alessandro Mistretta & Francesco Zollino, 2021. "Recent Trends in Economic Activity and TFP in Italy with a Focus on Embodied Technical Progress," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 79-107, March.
    3. Robert S. Pindyck, 2016. "The Social Cost of Carbon Revisited," NBER Working Papers 22807, National Bureau of Economic Research, Inc.
    4. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    5. Daniel J. Benjamin & Kristen Cooper & Ori Heffetz & Miles S. Kimball & Jiannan Zhou, 2023. "Adjusting for Scale-Use Heterogeneity in Self-Reported Well-Being," NBER Working Papers 31728, National Bureau of Economic Research, Inc.
    6. Kerwin, Jason & Pandey, Divya, 2023. "Navigating Ambiguity: Imprecise Probabilities and the Updating of Disease Risk Beliefs," IZA Discussion Papers 16478, Institute of Labor Economics (IZA).
    7. Mullahy, John, 2024. "Analyzing health outcomes measured as bounded counts," Journal of Health Economics, Elsevier, vol. 95(C).
    8. Daniel J. Benjamin, 2018. "Errors in Probabilistic Reasoning and Judgment Biases," GRU Working Paper Series GRU_2018_023, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    9. Conti, G. & Giustinelli, P., 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior: An application to lockdown compliance in the United Kingdom," Health, Econometrics and Data Group (HEDG) Working Papers 23/05, HEDG, c/o Department of Economics, University of York.
    10. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2019. "Understanding Migration Aversion Using Elicited Counterfactual Choice Probabilities," IZA Discussion Papers 12271, Institute of Labor Economics (IZA).
    11. Conti, Gabriella & Giustinelli, Pamela, 2023. "For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior," IZA Discussion Papers 16143, Institute of Labor Economics (IZA).
    12. Daniel J. Benjamin & Kristen Cooper & Ori Heffetz & Miles S. Kimball, 2023. "From Happiness Data to Economic Conclusions," NBER Working Papers 31727, National Bureau of Economic Research, Inc.
    13. Chiara Binelli, 2019. "Employment and Earnings Expectations of Jobless Young Skilled: Evidence from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 201-231, August.
    14. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    15. Giovanni Immordino & Tullio Jappelli & Tommaso Oliviero, 2024. "Consumption and income expectations during Covid-19," Review of Economics of the Household, Springer, vol. 22(1), pages 95-116, March.
    16. Tullio Jappelli & Luigi Pistaferri, 2018. "Reported MPC and Unobserved Heterogeneity," CSEF Working Papers 505, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    17. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    18. Alessandro Mistretta & Francesco Zollino, 0. "Recent Trends in Economic Activity and TFP in Italy with a Focus on Embodied Technical Progress," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 0, pages 1-29.

  11. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2016. "Confidence Intervals for Projections of Partially Identified Parameters," Papers 1601.00934, arXiv.org, revised Jun 2019.

    Cited by:

    1. 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.
    2. 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.
    3. Lafférs, Lukáš & Mellace, Giovanni, 2020. "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics 3/2020, University of Southern Denmark, Department of Economics.
    4. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers CWP28/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Jorg Stoye & Yuichi Kitamura, 2017. "Nonparametric analysis of random utility models," CeMMAP working papers 56/17, Institute for Fiscal Studies.
    6. Pakes, Ariel, 2017. "Empirical tools and competition analysis: Past progress and current problems," International Journal of Industrial Organization, Elsevier, vol. 53(C), pages 241-266.
    7. Shengjie Hong & Yu-Chin Hsu & Yuanyuan Wan, 2023. "Subvector inference for Varying Coefficient Models with Partial Identification," Working Papers tecipa-756, University of Toronto, Department of Economics.
    8. Vishal Kamat, 2017. "Identifying the Effects of a Program Offer with an Application to Head Start," Papers 1711.02048, arXiv.org, revised Aug 2023.
    9. Jean‐François Houde & Peter Newberry & Katja Seim, 2023. "Nexus Tax Laws and Economies of Density in E‐Commerce: A Study of Amazon's Fulfillment Center Network," Econometrica, Econometric Society, vol. 91(1), pages 147-190, January.
    10. Zach Flynn, 2020. "Identifying productivity when it is a factor of production," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 496-530, June.
    11. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    12. Laurens Cherchye & Bram De Rock & Khushboo Surana & Frederic Vermeulen, 2016. "Marital matching, economies of scale and intrahousehold allocations," Working Papers of Department of Economics, Leuven 551159, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    13. Ting Ye & Luke Keele & Raiden Hasegawa & Dylan S. Small, 2020. "A Negative Correlation Strategy for Bracketing in Difference-in-Differences," Papers 2006.02423, arXiv.org, revised Jun 2022.
    14. Victor H. Aguiar & Nail Kashaev & Roy Allen, 2022. "Prices, Profits, Proxies, and Production," University of Western Ontario, Departmental Research Report Series 20226, University of Western Ontario, Department of Economics.
    15. Lee, Y-Y. & Bhattacharya, D., 2018. "Applied Welfare Analysis for Discrete Choice with Interval-data on Income," Cambridge Working Papers in Economics 1882, Faculty of Economics, University of Cambridge.
    16. Kaido, Hiroaki & Molinari, Francesca & Stoye, Jörg, 2022. "Constraint Qualifications In Partial Identification," Econometric Theory, Cambridge University Press, vol. 38(3), pages 596-619, June.
    17. Paul S. Koh, 2022. "Estimating Discrete Games of Complete Information: Bringing Logit Back in the Game," Papers 2205.05002, arXiv.org, revised Aug 2024.
    18. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    19. Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
    20. 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).
    21. 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.
    22. 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.
    23. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    24. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    25. Matias D. Cattaneo & Xinwei Ma & Yusufcan Masatlioglu & Elchin Suleymanov, 2017. "A Random Attention Model," Papers 1712.03448, arXiv.org, revised Aug 2019.
    26. JoonHwan Cho & Thomas M. Russell, 2018. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Papers 1810.03180, arXiv.org, revised May 2023.
    27. Christian Bontemps & Rohit Kumar, 2020. "A Geometric Approach to Inference in Set-Identified Entry Games," Post-Print hal-02137356, HAL.
    28. Patrik Guggenberge & Frank Kleibergen & Sophocles Mavroeidis, 2021. "A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity," Economics Series Working Papers 960, University of Oxford, Department of Economics.
    29. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    30. Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
    31. Felix Chan & Laszlo Matyas & Agoston Reguly, 2024. "Modelling with Discretized Variables," Papers 2403.15220, arXiv.org.
    32. Laurens Cherchye & Sam Cosaert & Bram De Rock & Pieter Jan Kerstens & Frederic Vermeulen, 2017. "Individual Welfare Analysis for Collective Households," Working Papers ECARES ECARES 2017-44, ULB -- Universite Libre de Bruxelles.
    33. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    34. Bei, Xinyue, 2024. "Local linearization based subvector inference in moment inequality models," Journal of Econometrics, Elsevier, vol. 238(1).
    35. Nirav Mehta, 2022. "A Partial Identification Approach to Identifying the Determinants of Human Capital Accumulation: An Application to Teachers," CESifo Working Paper Series 9681, CESifo.
    36. 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.
    37. Khushboo Surana, 2022. "How different are we? Identifying the degree of revealed preference heterogeneity," Discussion Papers 22/09, Department of Economics, University of York.
    38. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.
    39. 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.
    40. 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.
    41. Hiroaki Kaido & Francesca Molinari & Jorg Stoye & Matthew Thirkettle, 2017. "Calibrated Projection in MATLAB: Users' Manual," Papers 1710.09707, arXiv.org.
    42. Sylvain Chassang & Kei Kawai & Jun Nakabayashi & Juan Ortner, 2022. "Robust Screens for Noncompetitive Bidding in Procurement Auctions," Econometrica, Econometric Society, vol. 90(1), pages 315-346, January.
    43. Freyberger, Joachim & Rai, Yoshiyasu, 2018. "Uniform confidence bands: Characterization and optimality," Journal of Econometrics, Elsevier, vol. 204(1), pages 119-130.
    44. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    45. 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.
    46. Adam Lee & Geert Mesters, 2021. "Robust non-Gaussian inference for linear simultaneous equations models," Economics Working Papers 1792, Department of Economics and Business, Universitat Pompeu Fabra.
    47. Hiroaki Kaido & Jiaxuan Li & Marc Rysman, 2018. "Moment Inequalities in the Context of Simulated and Predicted Variables," Papers 1804.03674, arXiv.org.
    48. Ganesh Karapakula, 2022. "An Axiomatic Framework for Cost-Benefit Analysis," Papers 2207.13033, arXiv.org.
    49. Panos Toulis, 2020. "Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach," Papers 2006.16214, arXiv.org.
    50. 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.
    51. 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.

  12. Levon Barseghyan & Francesca Molinari & Ted O'Donoghue & Joshua C. Teitelbaum, 2012. "The Nature of Risk Preferences: Evidence from Insurance Choices," CESifo Working Paper Series 3933, CESifo.

    Cited by:

    1. Stefano Della & Jörg Heining & Johannes F Schmieder & Simon Trenkle, 2023. "Evidence on Job Search Models from a Survey of Unemployed Workers in Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(2), pages 1181-1232.
    2. Dertwinkel-Kalt, Markus & Köster, Mats, 2017. "Local Thinking and Skewness Preferences," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168303, Verein für Socialpolitik / German Economic Association.
    3. Emel Filiz-Ozbay & Jonathan Guryan & Kyle Hyndman & Melissa Schettini Kearney & Erkut Y. Ozbay, 2013. "Do Lottery Payments Induce Savings Behavior: Evidence from the Lab," NBER Working Papers 19130, National Bureau of Economic Research, Inc.
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    9. Markus Dertwinkel-Kalt & Johannes Kasinger & Dmitrij Schneider, 2024. "Skewness Preferences: Evidence from Online Poker," CESifo Working Paper Series 10977, CESifo.
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    84. Michael Grubb, 2015. "Behavioral Consumers in Industrial Organization: An Overview," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 247-258, November.
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    86. Lampe, Immanuel & Würtenberger, Daniel, 2020. "Loss aversion and the demand for index insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 678-693.
    87. Pierre-Andre Chiappori & Bernard Salanie & Francois Salanie & Amit Gandhi, 2019. "From aggregate betting data to individual risk preferences," Post-Print hal-02121859, HAL.
    88. Naranjo, Maria A. & Alpízar, Francisco & Martinsson, Peter, 2019. "Alternatives for Risk Elicitation in the Field: Evidence from Coffee Farmers in Costa Rica," EfD Discussion Paper 19-21, Environment for Development, University of Gothenburg.
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    90. Chatterjee, Indradeb & Hao, MingJie & Tapadar, Pradip & Thomas, R. Guy, 2024. "Can price collars increase insurance loss coverage?," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 74-94.
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  13. Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012. "Inference for best linear approximations to set identified functions," CeMMAP working papers 43/12, 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. Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
    3. 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.
    4. Ben Sand & Chris Bidner, 2016. "Job Prospects and Pay Gaps: Theory and Evidence on the Gender Gap from U.S. Cities," Discussion Papers dp16-14, Department of Economics, Simon Fraser University.
    5. Lee, Y-Y. & Bhattacharya, D., 2018. "Applied Welfare Analysis for Discrete Choice with Interval-data on Income," Cambridge Working Papers in Economics 1882, Faculty of Economics, University of Cambridge.
    6. Vira Semenova, 2020. "Generalized Lee Bounds," Papers 2008.12720, arXiv.org, revised Feb 2023.
    7. Karun Adusumilli & Taisuke Otsu, 2014. "Empirical Likelihood for Random Sets," STICERD - Econometrics Paper Series 574, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    8. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    9. Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
    10. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    12. Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
    13. Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
    14. Maasoumi, Esfandiar & Wang, Le, 2017. "What can we learn about the racial gap in the presence of sample selection?," Journal of Econometrics, Elsevier, vol. 199(2), pages 117-130.
    15. Vira Semenova, 2017. "Debiased Machine Learning of Set-Identified Linear Models," Papers 1712.10024, arXiv.org, revised Dec 2022.
    16. 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.
    17. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    18. Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org, revised Nov 2024.
    19. 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.
    20. 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.

  14. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Bontemps, Christian & Magnac, Thierry & Maurin, Eric, 2007. "Set Identified Linear Models," IDEI Working Papers 494, Institut d'Économie Industrielle (IDEI), Toulouse.
    7. 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.
    8. 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.
    9. 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.
    10. Sridhar Narayanan, 2013. "Bayesian estimation of discrete games of complete information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 39-81, March.
    11. Bramoullé, Yann & Boucher, Vincent, 2020. "Binary Outcomes and Linear Interactions," CEPR Discussion Papers 15505, C.E.P.R. Discussion Papers.
    12. 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.
    13. 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.
    14. Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
    15. Jacob Dorn & Kevin Guo, 2021. "Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing," Papers 2102.04543, arXiv.org, revised Aug 2023.
    16. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    17. Han, Sukjin & Yang, Shenshen, 2024. "A computational approach to identification of treatment effects for policy evaluation," Journal of Econometrics, Elsevier, vol. 240(1).
    18. 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.
    19. Andrew Chesher & Adam M. Rosen, 2021. "Counterfactual Worlds," Annals of Economics and Statistics, GENES, issue 142, pages 311-335.
    20. 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.
    21. 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.
    22. Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
    23. Andrew Chesher & Adam Rosen, 2012. "An instrumental variable random coefficients model for binary outcomes," CeMMAP working papers 34/12, Institute for Fiscal Studies.
    24. 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.
    25. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
    26. Juan Passadore & Juan Xandri, 2019. "Robust Predictions in Dynamic Policy Games," 2019 Meeting Papers 1345, Society for Economic Dynamics.
    27. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    28. 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.
    29. 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.
    30. 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.
    31. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    32. Bontemps, Christian & Menezes Bezerra Sampaio, Raquel, 2020. "Entry games for the airline industry," TSE Working Papers 20-1108, Toulouse School of Economics (TSE).
    33. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    34. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2024. "Robust analysis of short panels," IFS Working Papers WCWP01/24, Institute for Fiscal Studies.
    35. 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.
    36. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    37. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
    38. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Victor H. Aguiar & Nail Kashaev & Roy Allen, 2022. "Prices, Profits, Proxies, and Production," University of Western Ontario, Departmental Research Report Series 20226, University of Western Ontario, Department of Economics.
    40. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    41. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large bayesian game with heterogeneous beliefs," Other publications TiSEM aca0631e-4f8a-45c7-af3a-4, Tilburg University, School of Economics and Management.
    42. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    43. Galichon, Alfred & Henry, Marc, 2013. "Dilation bootstrap," Journal of Econometrics, Elsevier, vol. 177(1), pages 109-115.
    44. Aradillas-López, Andrés & Rosen, Adam M., 2022. "Inference in ordered response games with complete information," Journal of Econometrics, Elsevier, vol. 226(2), pages 451-476.
    45. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    46. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    47. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.
    48. 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).
    49. Andrew Chesher & Adam Rosen, 2012. "Simultaneous equations for discrete outcomes: coherence, completeness, and identification," CeMMAP working papers 21/12, Institute for Fiscal Studies.
    50. 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.
    51. 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.
    52. Shosei Sakaguchi, 2021. "Partial Identification and Inference in Duration Models with Endogenous Censoring," Papers 2107.00928, arXiv.org.
    53. 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.
    54. 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.
    55. 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.
    56. Andrews, Donald W.K. & Shi, Xiaoxia, 2014. "Nonparametric inference based on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 179(1), pages 31-45.
    57. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    58. 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.
    59. 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.
    60. Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
    61. Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    62. Christian Bontemps & Rohit Kumar, 2020. "A Geometric Approach to Inference in Set-Identified Entry Games," Post-Print hal-02137356, HAL.
    63. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    64. Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
    65. 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.
    66. 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.
    67. 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.
    68. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
    69. Victor Chernozhukov & Christian Hansen, 2013. "Quantile Models with Endogeneity," Papers 1303.7050, arXiv.org.
    70. Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.
    71. 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.
    72. 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.
    73. 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.
    74. 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.
    75. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    76. 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.
    77. 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.
    78. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.
    79. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    80. Nail Kashaev & Bruno Salcedo, 2019. "Discerning Solution Concepts," Papers 1909.09320, arXiv.org.
    81. Michael P. Leung, 2019. "Inference in Models of Discrete Choice with Social Interactions Using Network Data," Papers 1911.07106, arXiv.org.
    82. Lixiong Li & Marc Henry, 2022. "Finite Sample Inference in Incomplete Models," Papers 2204.00473, arXiv.org, revised Apr 2024.
    83. Pacini, David, 2020. "Proximal statistic: Asymptotic normality," Statistics & Probability Letters, Elsevier, vol. 167(C).
    84. Miyauchi, Yuhei, 2016. "Structural estimation of pairwise stable networks with nonnegative externality," Journal of Econometrics, Elsevier, vol. 195(2), pages 224-235.
    85. 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.
    86. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
    87. , 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.
    88. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    89. 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.
    90. Cristina Gualdani, 2021. "An Econometric Model of Network Formation with an Application to Board Interlocks between Firms," Post-Print hal-03548907, HAL.
    91. 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.
    92. Romuald Méango, 2014. "International Student Migration: A Partial Identification Analysis," CESifo Working Paper Series 4677, CESifo.
    93. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    94. Arie Beresteanu, 2021. "Identification of Incomplete Preferences," Working Paper 7145, Department of Economics, University of Pittsburgh.
    95. 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.
    96. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
    97. 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).
    98. Sridhar Narayanan, 2013. "Bayesian estimation of discrete games of complete information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 39-81, March.
    99. Shosei Sakaguchi, 2024. "Partial identification and inference in duration models with endogenous censoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 308-326, March.
    100. Konan Hara & Yuki Ito & Paul Koh, 2022. "Identification and Estimation of Dynamic Games with Unknown Information Structure," Papers 2205.03706, arXiv.org, revised Oct 2024.
    101. 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.
    102. Jeremy Fox & Natalia Lazzati, 2013. "Identification of discrete choice models for bundles and binary games," CeMMAP working papers 04/13, Institute for Fiscal Studies.
    103. 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.
    104. Abito, Jose Miguel, 2015. "How much can we identify from repeated games?," MPRA Paper 66378, University Library of Munich, Germany.
    105. 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.
    106. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    107. Koh, Paul S., 2023. "Stable outcomes and information in games: An empirical framework," Journal of Econometrics, Elsevier, vol. 237(1).
    108. 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.

  15. 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. 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.
    3. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    4. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    5. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.
    6. 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.
    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. Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
    9. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    10. Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
    11. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    12. 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.
    13. Vishal Kamat, 2018. "On the Identifying Content of Instrument Monotonicity," Papers 1807.01661, arXiv.org, revised Oct 2019.
    14. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    15. 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.
    16. 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.
    17. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    18. Kitagawa, Toru, 2021. "The identification region of the potential outcome distributions under instrument independence," Journal of Econometrics, Elsevier, vol. 225(2), pages 231-253.
    19. Panos Toulis, 2020. "Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach," Papers 2006.16214, arXiv.org.
    20. Shosei Sakaguchi, 2024. "Partial identification and inference in duration models with endogenous censoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 308-326, March.
    21. Matthew A. Masten & Alexandre Poirier, 2021. "Salvaging Falsified Instrumental Variable Models," Econometrica, Econometric Society, vol. 89(3), pages 1449-1469, May.
    22. 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.
    23. Thomas M. Russell, 2020. "Policy Transforms and Learning Optimal Policies," Papers 2012.11046, arXiv.org.
    24. Tatiana Komarova & Denis Nekipelov, 2020. "Identification and Formal Privacy Guarantees," Papers 2006.14732, arXiv.org, revised May 2021.
    25. 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.
    26. 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.

  16. 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. 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.
    3. Áureo de Paula, 2012. "Econometric analysis of games with multiple equilibria," CeMMAP working papers CWP29/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Kline, Brendan & Tamer, Elie, 2012. "Bounds for best response functions in binary games," Journal of Econometrics, Elsevier, vol. 166(1), pages 92-105.
    5. 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.

  17. 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. Elie Tamer & Federico Ciliberto, 2004. "Market Structure and Multiple Equilibria in Airline Markets," 2004 Meeting Papers 52, Society for Economic Dynamics.
    2. Steven N. Durlauf & Yannis M. Ioannides, 2009. "Social Interactions," Discussion Papers Series, Department of Economics, Tufts University 0739, Department of Economics, Tufts University.
    3. 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.
    4. 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.
    5. Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, Econometric Society, vol. 9(1), pages 1-38, March.
    6. 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.
    7. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    8. 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.
    9. 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.
    10. Alberto Bisin & Andrea Moro & Giorgio Topa, 2011. "The empirical content of models with multiple equilibria in economies with social interactions," Staff Reports 504, Federal Reserve Bank of New York.
    11. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    12. Jeremy T. Fox, 2010. "Identification in matching games," Quantitative Economics, Econometric Society, vol. 1(2), pages 203-254, November.
    13. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    14. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2011.
    16. 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.
    17. 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.
    18. Aradillas-Lopez, Andres, 2012. "Pairwise-difference estimation of incomplete information games," Journal of Econometrics, Elsevier, vol. 168(1), pages 120-140.
    19. 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.

  18. 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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Xiaohong Chen & Timothy M. Christensen & Keith O'Hara & Elie Tamer, 2016. "MCMC confidence sets for identified sets," CeMMAP working papers CWP28/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Elie Tamer & Federico Ciliberto, 2004. "Market Structure and Multiple Equilibria in Airline Markets," 2004 Meeting Papers 52, Society for Economic Dynamics.
    9. 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.
    10. Bontemps, Christian & Magnac, Thierry & Maurin, Eric, 2007. "Set Identified Linear Models," IDEI Working Papers 494, Institut d'Économie Industrielle (IDEI), Toulouse.
    11. 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.
    12. 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.
    13. Hyungsik Roger Moon & Frank Schorfheide, 2009. "Bayesian and Frequentist Inference in Partially Identified Models," NBER Working Papers 14882, National Bureau of Economic Research, Inc.
    14. Armstrong, Timothy B., 2014. "Weighted KS statistics for inference on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 181(2), pages 92-116.
    15. Victor Chernozhukov & Sokbae Lee & Adam M. Rosen, 2013. "Intersection Bounds: Estimation and Inference," Econometrica, Econometric Society, vol. 81(2), pages 667-737, March.
    16. Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
    17. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Komunjer, Ivana, 2008. "Global Identification In Nonlinear Semiparametric Models," University of California at San Diego, Economics Working Paper Series qt2r59d87f, Department of Economics, UC San Diego.
    25. Kate Ho & Adam Rosen, 2015. "Partial identification in applied research: benefits and challenges," CeMMAP working papers 64/15, Institute for Fiscal Studies.
    26. Jerry A. Hausman & Whitney K. Newey, 2016. "Individual Heterogeneity and Average Welfare," Econometrica, Econometric Society, vol. 84, pages 1225-1248, May.
    27. Joan Alegre & Juan Carlos Escanciano, 2023. "Robust Minimum Distance Inference in Structural Models," Papers 2310.05761, arXiv.org.
    28. Kreider, Brent & Pepper, John V., 2011. "Identification of Expected Outcomes in a Data Error Mixing Model With Multiplicative Mean Independence," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 49-60.
    29. 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.
    30. Jiaying Gu & Thomas M. Russell, 2021. "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors," Papers 2101.01254, arXiv.org, revised Jul 2022.
    31. Victor Chernozhukov & Emre Kocatulum & Konrad Menzel, 2012. "Inference on sets in finance," CeMMAP working papers 04/12, Institute for Fiscal Studies.
    32. Laura Coroneo & Valentina Corradi & Paulo Santos Monteiro, 2018. "Testing for optimal monetary policy via moment inequalities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 780-796, September.
    33. Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2017. "Confidence intervals for projections of partially identified parameters," CeMMAP working papers 49/17, Institute for Fiscal Studies.
    34. 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.
    35. Galichon, Alfred & Henry, Marc, 2009. "A test of non-identifying restrictions and confidence regions for partially identified parameters," Journal of Econometrics, Elsevier, vol. 152(2), pages 186-196, October.
    36. Arie Beresteanu, 2020. "Quantile Regression with Interval Data," Working Paper 6899, Department of Economics, University of Pittsburgh.
    37. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2009. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP05/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. 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.
    39. 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.
    40. Victor H. Aguiar & Nail Kashaev & Roy Allen, 2022. "Prices, Profits, Proxies, and Production," University of Western Ontario, Departmental Research Report Series 20226, University of Western Ontario, Department of Economics.
    41. Lee, Y-Y. & Bhattacharya, D., 2018. "Applied Welfare Analysis for Discrete Choice with Interval-data on Income," Cambridge Working Papers in Economics 1882, Faculty of Economics, University of Cambridge.
    42. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    43. Cherchye, L.J.H. & de Rock, B. & Lewbel, A. & Vermeulen, F.M.P., 2012. "Sharing Rule Identification for General Collective Consumption Models," Discussion Paper 2012-041, Tilburg University, Center for Economic Research.
    44. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers 23/18, Institute for Fiscal Studies.
    45. 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.
    46. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    47. Karun Adusumilli & Taisuke Otsu, 2014. "Empirical Likelihood for Random Sets," STICERD - Econometrics Paper Series 574, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    48. Tamer, Elie & Kline, Brendan, 2016. "Bayesian inference in a class of partially identified models," Scholarly Articles 30780157, Harvard University Department of Economics.
    49. Deng, Ping & Hu, Yingyao, 2009. "Bounding the effect of a dichotomous regressor with arbitrary measurement errors," Economics Letters, Elsevier, vol. 105(3), pages 256-260, December.
    50. Monique de Haan, 2008. "The Effect of Parents' Schooling on Child's Schooling: A Nonparametric Bounds Analysis," Tinbergen Institute Discussion Papers 08-061/3, Tinbergen Institute.
    51. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    52. Zhiwei Zhang, 2010. "Profile Likelihood and Incomplete Data," International Statistical Review, International Statistical Institute, vol. 78(1), pages 102-116, April.
    53. 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.
    54. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    55. 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.
    56. Andrews, Donald W.K. & Shi, Xiaoxia, 2014. "Nonparametric inference based on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 179(1), pages 31-45.
    57. 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.
    58. 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.
    59. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics.
    60. Xiaohong Chen & Timothy M. Christensen & Elie Tamer, 2017. "Monte Carlo confidence sets for identified sets," CeMMAP working papers 43/17, Institute for Fiscal Studies.
    61. 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 CWP09/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    62. Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
    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. Liao, Yuan & Simoni, Anna, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," MPRA Paper 43262, University Library of Munich, Germany.
    65. Andrew Chesher & Adam Rosen, 2013. "Generalized instrumental variable models," CeMMAP working papers CWP43/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    66. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    67. Yoshihiko Nishiyama & Peter Robinson, 2004. "The bootstrap and the Edgeworth correction for semiparametric averaged derivatives," CeMMAP working papers 12/04, Institute for Fiscal Studies.
    68. Armstrong, Timothy B., 2015. "Asymptotically exact inference in conditional moment inequality models," Journal of Econometrics, Elsevier, vol. 186(1), pages 51-65.
    69. 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.
    70. Christian Bontemps & Rohit Kumar, 2020. "A Geometric Approach to Inference in Set-Identified Entry Games," Post-Print hal-02137356, HAL.
    71. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    72. Liao, Yuan & Simoni, Anna, 2019. "Bayesian inference for partially identified smooth convex models," Journal of Econometrics, Elsevier, vol. 211(2), pages 338-360.
    73. Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
    74. 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.
    75. 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.
    76. Donald W.K. Andrews & Panle Jia, 2008. "Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure," Cowles Foundation Discussion Papers 1676R, Cowles Foundation for Research in Economics, Yale University, revised Aug 2011.
    77. Felix Chan & Laszlo Matyas & Agoston Reguly, 2024. "Modelling with Discretized Variables," Papers 2403.15220, arXiv.org.
    78. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2015. "Inference for functions of partially identified parameters in moment inequality models," CeMMAP working papers CWP54/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    79. Victor Chernozhukov & Whitney K. Newey & Andres Santos, 2023. "Constrained Conditional Moment Restriction Models," Econometrica, Econometric Society, vol. 91(2), pages 709-736, March.
    80. 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.
    81. 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.
    82. A. Norets & X. Tang, 2014. "Semiparametric Inference in Dynamic Binary Choice Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1229-1262.
    83. Cerquera, Daniel & Laisney, François & Ullrich, Hannes, 2012. "Considerations on partially identified regression models," ZEW Discussion Papers 12-024, ZEW - Leibniz Centre for European Economic Research.
    84. Fan, Yanqin & Park, Sang Soo, 2010. "Confidence sets for some partially identified parameters," MPRA Paper 37149, University Library of Munich, Germany.
    85. Guggenberger, Patrik & Hahn, Jinyong & Kim, Kyooil, 2008. "Specification testing under moment inequalities," Economics Letters, Elsevier, vol. 99(2), pages 375-378, May.
    86. Jerry Hausman & Whitney K. Newey, 2014. "Individual Heterogeneity and Average Welfare," CeMMAP working papers 42/14, Institute for Fiscal Studies.
    87. David Pacini, 2012. "Least Square Linear Prediction with Two-Sample Data," Bristol Economics Discussion Papers 12/631, School of Economics, University of Bristol, UK.
    88. Patrik Guggenberger, "undated". "Specification Testing under Moment Inequalities (joint with J. Hahn and K. Kim), 2006, revised April 2007," UCLA Economics Online Papers 381, UCLA Department of Economics.
    89. 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.
    90. 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.
    91. Laffers, Lukas, 2013. "Identification in Models with Discrete Variables," Discussion Paper Series in Economics 1/2013, Norwegian School of Economics, Department of Economics.
    92. Pedro Terán, 2016. "A Multivalued Strong Law of Large Numbers," Journal of Theoretical Probability, Springer, vol. 29(2), pages 349-358, June.
    93. Shakeeb Khan & Tatiana Komarova & Denis Nekipelov, 2023. "Sharp and Robust Estimation of Partially Identified Discrete Response Models," Papers 2310.02414, arXiv.org, revised May 2024.
    94. 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.
    95. 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.
    96. Vira Semenova, 2017. "Debiased Machine Learning of Set-Identified Linear Models," Papers 1712.10024, arXiv.org, revised Dec 2022.
    97. Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    98. 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.
    99. Sukjin Han & Hiroaki Kaido & Lorenzo Magnolfi, 2024. "Testing Information Ordering for Strategic Agents," Papers 2402.19425, arXiv.org.
    100. 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.
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    102. 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.
    103. Miyauchi, Yuhei, 2016. "Structural estimation of pairwise stable networks with nonnegative externality," Journal of Econometrics, Elsevier, vol. 195(2), pages 224-235.
    104. 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.
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    106. Shinya Sugawara, 2013. "An Interval Regression Analysis for Tenures of Japanese Elder Care Workers Using Matched Employer-Employee Data," CIRJE F-Series CIRJE-F-887, CIRJE, Faculty of Economics, University of Tokyo.
    107. Victor Chernozhukov & Wooyoung Kim & Sokbae Lee & Adam M. Rosen, 2015. "Implementing intersection bounds in Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 21-44, March.
    108. Jiang Bin & Kim Jun Sung & Li Chuhui & Yang Ou, 2018. "Social Network Structure and Risk Sharing in Villages," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(3), pages 1-8, July.
    109. 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.
    110. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    111. 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.
    112. 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.
    113. 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.
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    119. 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.
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    122. Jerry Hausman & Whitney K. Newey, 2013. "Individual heterogeneity and average welfare," CeMMAP working papers 34/13, Institute for Fiscal Studies.
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  19. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    2. Tatiana V. Komarova & Denis Nekipelov & Evgeny Yakovlev, 2011. "Identification, data combination and the risk of disclosure," CeMMAP working papers CWP38/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Fitzenberger, Bernd & Osikominu, Aderonke & Völter, Robert, 2005. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," ZEW Discussion Papers 05-10, ZEW - Leibniz Centre for European Economic Research.
    4. Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
    5. Gundersen, Craig & Kreider, Brent, 2008. "Food Stamps and Food Insecurity What Can Be Learned in the Presence of Nonclassical Measurement Error?," ISU General Staff Papers 200804010700001260, Iowa State University, Department of Economics.
    6. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers 38/12, Institute for Fiscal Studies.
    7. O'Neill, Donal & Sweetman, Olive, 2013. "Estimating Obesity Rates in the Presence of Measurement Error," IZA Discussion Papers 7288, Institute of Labor Economics (IZA).
    8. Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
    9. Erich Battistin & Michele De Nadai & Daniela Vuri, 2014. "Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools," CEIS Research Paper 329, Tor Vergata University, CEIS, revised 08 Sep 2014.
    10. DiTraglia, Francis J. & García-Jimeno, Camilo, 2019. "Identifying the effect of a mis-classified, binary, endogenous regressor," Journal of Econometrics, Elsevier, vol. 209(2), pages 376-390.
    11. Denni Tommasi & Arthur Lewbel & Rossella Calvi, 2017. "LATE with Mismeasured or Misspecified Treatment: An application to Women's Empowerment in India," Working Papers ECARES ECARES 2017-27, ULB -- Universite Libre de Bruxelles.
    12. German Blanco & Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 659-701.
    13. Kreider, Brent & Pepper, John V., 2011. "Identification of Expected Outcomes in a Data Error Mixing Model With Multiplicative Mean Independence," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 49-60.
    14. Matthew Gentry & Tong Li, 2014. "Identification in Auctions With Selective Entry," Econometrica, Econometric Society, vol. 82(1), pages 315-344, January.
    15. Lafférs, Lukáš & Nedela, Roman, 2017. "Sensitivity of the bounds on the ATE in the presence of sample selection," Economics Letters, Elsevier, vol. 158(C), pages 84-87.
    16. Guido Imbens & Charles F. Manski, 2003. "Confidence intervals for partially identified parameters," CeMMAP working papers CWP09/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Candelaria, Luis E. & Ura, Takuya, 2020. "Identification and Inference of Network Formation Games with Misclassified Links," The Warwick Economics Research Paper Series (TWERPS) 1258, University of Warwick, Department of Economics.
    18. Brent Kreider & Richard J. Manski & John Moeller & John Pepper, 2015. "The Effect of Dental Insurance on the Use of Dental Care for Older Adults: A Partial Identification Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 24(7), pages 840-858, July.
    19. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
    20. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    21. Demuynck, Thomas, 2015. "Bounding average treatment effects: A linear programming approach," Economics Letters, Elsevier, vol. 137(C), pages 75-77.
    22. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    23. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Punarjit Roychowdhury & Gaurav Dhamija, 2022. "Don't cross the line: Bounding the causal effect of hypergamy violation on domestic violence in India," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1952-1978, October.
    25. Battistin, Erich & De Nadai, Michele & Sianesi, Barbara, 2014. "Misreported schooling, multiple measures and returns to educational qualifications," Journal of Econometrics, Elsevier, vol. 181(2), pages 136-150.
    26. Brent Kreider & John V. Pepper & Manan Roy, 2016. "Identifying the Effects of WIC on Food Insecurity Among Infants and Children," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1106-1122, April.
    27. Beresteanu, Arie & Molinari, Francesca, 2006. "Asymptotic Properties for a Class of Partially Identified Models," Working Papers 06-04, Duke University, Department of Economics.
    28. Gundersen, Craig & Kreider, Brent, 2008. "Bounding the Effects of Food Insecurity on Children's Health Outcomes," Staff General Research Papers Archive 13008, Iowa State University, Department of Economics.
    29. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    30. Kreider, Brent & Pepper, John V., 2003. "Inferring Disability Status from Corrupt Data," Staff General Research Papers Archive 10228, Iowa State University, Department of Economics.
    31. Xiaohong Chen & Han Hong & Denis Nekipelov, 2011. "Nonlinear Models of Measurement Errors," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 901-937, December.
    32. Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
    33. 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.
    34. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    35. 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.
    36. Hu, Yingyao, 2017. "The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics," Journal of Econometrics, Elsevier, vol. 200(2), pages 154-168.
    37. Bulat Gafarov, 2019. "Simple subvector inference on sharp identified set in affine models," Papers 1904.00111, arXiv.org, revised Jul 2024.
    38. Cheti Nicoletti & Franco Peracchi & Francesca Foliano, 2009. "Estimating Income Poverty in the Presence of Missing Data and Measurement Error," CEIS Research Paper 145, Tor Vergata University, CEIS, revised 30 Sep 2009.
    39. Huber, Martin & Laffers, Lukáš, 2020. "Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition," FSES Working Papers 514, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    40. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Misclassification in binary choice models," Journal of Econometrics, Elsevier, vol. 200(2), pages 295-311.
    42. Yingyao Hu, 2015. "Microeconomic models with latent variables: applications of measurement error models in empirical industrial organization and labor economics," CeMMAP working papers 03/15, Institute for Fiscal Studies.
    43. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "A Bayesian analysis of binary misclassification," Economics Letters, Elsevier, vol. 156(C), pages 68-73.
    44. Robert Paul Hartley & Carlos Lamarche & James P. Ziliak, 2022. "Welfare Reform and the Intergenerational Transmission of Dependence," Journal of Political Economy, University of Chicago Press, vol. 130(3), pages 523-565.
    45. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    46. Nicoletti, Cheti & Peracchi, Franco & Foliano, Francesca, 2007. "Estimating income poverty in the presence of measurement error and missing data problems," ISER Working Paper Series 2007-15, Institute for Social and Economic Research.
    47. Sarah Brown & Mark N. Harris & Preety Srivastava & Karl Taylor, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ - 12," Working Papers 2018013, The University of Sheffield, Department of Economics.
    48. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    49. Yingyao Hu, 2015. "Microeconomic models with latent variables: applications of measurement error models in empirical industrial organization and labor economics," CeMMAP working papers CWP03/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    50. Bo E. Honoré & Adriana Lleras-Muney, 2006. "Bounds in Competing Risks Models and the War on Cancer," Econometrica, Econometric Society, vol. 74(6), pages 1675-1698, November.
    51. 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.
    52. Erich Battistin & Barbara Sianesi, 2006. "Misreported schooling and returns to education: evidence from the UK," CeMMAP working papers CWP07/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    53. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    54. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Second Version," PIER Working Paper Archive 15-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 11 Nov 2015.
    55. Akanksha Negi & Digvijay Singh Negi, 2022. "Difference-in-Differences with a Misclassified Treatment," Papers 2208.02412, arXiv.org.
    56. Alexander Torgovitsky, 2019. "Partial identification by extending subdistributions," Quantitative Economics, Econometric Society, vol. 10(1), pages 105-144, January.
    57. Srini Vasan & Adelamar Alcantara, 2016. "GIS-based Methods for Estimating Missing Poverty Rates & Projecting Future Rates in Census Tracts," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 1-13, August.
    58. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Third Version," PIER Working Paper Archive 15-040, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 24 Nov 2015.
    59. Yanqin Fan & Carlos A. Manzanares, 2017. "Partial identification of average treatment effects on the treated through difference-in-differences," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 1057-1080, October.
    60. Xiaohong Chen & Yingyao Hu, 2006. "Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors," Cowles Foundation Discussion Papers 1590, Cowles Foundation for Research in Economics, Yale University.
    61. Gundersen, Craig & Kreider, Brent & Pepper, John V., 2009. "The Impact of the National School Lunch Program on Child Health: A Nonparametric Bounds Analysis," Staff General Research Papers Archive 13148, Iowa State University, Department of Economics.
    62. Hu, Yingyao, 2008. "Identification and estimation of nonlinear models with misclassification error using instrumental variables: A general solution," Journal of Econometrics, Elsevier, vol. 144(1), pages 27-61, May.
    63. Donal O’Neill & Olive Sweetman, 2016. "Bounding obesity rates in the presence of self-reporting errors," Empirical Economics, Springer, vol. 50(3), pages 857-871, May.
    64. William Greene & Mark N. Harris & Preety Srivastava & Xueyan Zhao, 2018. "Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 372-389, February.
    65. Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org, revised Nov 2024.
    66. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
    67. Kreider, Brent, 2006. "Partially Identifying the Prevalence of Health Insurance Given Contaminated Sampling Response Error," Staff General Research Papers Archive 12588, Iowa State University, Department of Economics.
    68. Craig Gundersen & Brent Kreider & John Pepper & Valerie Tarasuk, 2017. "Food assistance programs and food insecurity: implications for Canada in light of the mixing problem," Empirical Economics, Springer, vol. 52(3), pages 1065-1087, May.
    69. Ramazan Gencay & Nikola Gradojevic, 2009. "Errors-in-Variables Estimation with No Instruments," Working Paper series 30_09, Rimini Centre for Economic Analysis.

  20. Molinari, Francesca, 2005. "Missing Treatments," Working Papers 05-11, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    2. Arthur Lewbel, 2007. "Estimation of Average Treatment Effects with Misclassification," Econometrica, Econometric Society, vol. 75(2), pages 537-551, March.
    3. Bollinger, Christopher R. & Hirsch, Barry, 2005. "Match Bias from Earnings Imputation in the Current Population Survey: The Case of Imperfect Matching," IZA Discussion Papers 1846, Institute of Labor Economics (IZA).
    4. Gundersen, Craig & Kreider, Brent, 2008. "Bounding the Effects of Food Insecurity on Children's Health Outcomes," Staff General Research Papers Archive 13008, Iowa State University, Department of Economics.
    5. 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.
    6. Hoshino, Tadao, 2013. "Partial identification in binary response models with nonignorable nonresponses," Economics Letters, Elsevier, vol. 121(1), pages 74-78.
    7. Esmerelda A. Ramalho & Richard Smith, 2003. "Discrete choice non-response," CeMMAP working papers CWP07/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    9. Campo, Juan Carlos Chavez-Martin del, 2006. "Does Conditionality Generate Heterogeneity and Regressivity in Program Impacts? The Progresa Experience," Working Papers 127042, Cornell University, Department of Applied Economics and Management.
    10. Gundersen, Craig & Kreider, Brent & Pepper, John V., 2009. "The Impact of the National School Lunch Program on Child Health: A Nonparametric Bounds Analysis," Staff General Research Papers Archive 13148, Iowa State University, Department of Economics.
    11. Robert P. Sherman & Jeff Dominitz, 2006. "Identification and estimation of bounds on school performance measures: a nonparametric analysis of a mixture model with verification," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1295-1326.

  21. Conley, Timothy G. & Molinari, Francesca, 2005. "Spatial Correlation Robust Inference with Errors in Location or Distance," Working Papers 05-12, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Fenge, Robert & Scheubel, Beatrice, 2016. "Pensions and Fertility: Back to the Roots," VfS Annual Conference 2016 (Augsburg): Demographic Change 145689, Verein für Socialpolitik / German Economic Association.
    2. Robert Fenge & Beatrice Scheubel, 2013. "Pensions and Fertility: Back to the Roots - The Introduction of Bismarck's Pension Scheme and the European Fertility Decline," CESifo Working Paper Series 4383, CESifo.
    3. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    4. Bhattacharjee, A. & Holly, S., 2010. "Structural Interactions in Spatial Panels," Cambridge Working Papers in Economics 1004, Faculty of Economics, University of Cambridge.
    5. Timothy Conley & Francesca Molinari, 2005. "Spatial correlation robust inference with Errors in Location or Distance," CeMMAP working papers CWP10/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Gupta, A, 2015. "Autoregressive Spatial Spectral Estimates," Economics Discussion Papers 23825, University of Essex, Department of Economics.
    7. Backstrom, Jesse, 2019. "Strategic Reporting and the Effects of Water Use in Hydraulic Fracturing on Local Groundwater Levels in Texas," Center for Growth and Opportunity at Utah State University 307177, Center for Growth and Opportunity.
    8. Kojevnikov, Denis & Marmer, Vadim & Song, Kyungchul, 2021. "Limit theorems for network dependent random variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 882-908.
    9. Arnab Bhattacharjee & Sean Holly, 2013. "Understanding Interactions in Social Networks and Committees," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(1), pages 23-53, March.
    10. Abhimanyu Gupta & Javier Hidalgo, 2022. "Nonparametric prediction with spatial data," STICERD - Econometrics Paper Series 621, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    11. Yoonseok Lee & Yulong Wang, 2019. "Threshold Regression with Nonparametric Sample Splitting," Papers 1905.13140, arXiv.org, revised Jan 2021.
    12. Ulrich K. Muller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Papers 2102.09353, arXiv.org.
    13. Jesus Mur & Marcos Herrera & Manuel Ruiz, 2011. "Selecting the W Matrix. Parametric vs Nonparametric Approaches," ERSA conference papers ersa11p1055, European Regional Science Association.
    14. Mann, Michael L. & Kaufmann, Robert K. & Bauer, Dana & Gopal, Sucharita & Vera-Diaz, Maria Del Carmen & Nepstad, Daniel & Merry, Frank & Kallay, Jennifer & Amacher, Gregory S., 2010. "The economics of cropland conversion in Amazonia: The importance of agricultural rent," Ecological Economics, Elsevier, vol. 69(7), pages 1503-1509, May.
    15. Gonzalez Pampillon, Nicolas, 2019. "Spillover effects from new housing supply," LSE Research Online Documents on Economics 103446, London School of Economics and Political Science, LSE Library.
    16. Bruederle, Anna & Peters, Jörg & Roberts, Gareth, 2017. "Weather and crime in South Africa," Ruhr Economic Papers 739, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    17. Timothy Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2022. "Bootstrap Inference Under Cross Sectional Dependence," Working papers 2022-14, University of Connecticut, Department of Economics.
    18. Herrera Gómez, Marcos & Mur Lacambra, Jesús & Ruiz Marín, Manuel, 2011. "¿Cuál matriz de pesos espaciales?. Un enfoque sobre selección de modelos [Which spatial weighting matrix? An approach for model selection]," MPRA Paper 37585, University Library of Munich, Germany.
    19. Kelly, Morgan, 2020. "Understanding Persistence," CEPR Discussion Papers 15246, C.E.P.R. Discussion Papers.
    20. Ankel-Peters, Jörg & Bruederle, Anna & Roberts, Gareth, 2022. "Weather and Crime—Cautious evidence from South Africa," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(1), pages 1-22.
    21. Cuicui Lu & Weining Wang & Jeffrey M. Wooldridge, 2018. "Using generalized estimating equations to estimate nonlinear models with spatial data," Papers 1810.05855, arXiv.org.
    22. Kim, Min Seong & Sun, Yixiao, 2011. "Spatial heteroskedasticity and autocorrelation consistent estimation of covariance matrix," Journal of Econometrics, Elsevier, vol. 160(2), pages 349-371, February.
    23. Herrera Gómez, Marcos & Mur Lacambra, Jesús & Ruiz Marín, Manuel, 2012. "Selecting the Most Adequate Spatial Weighting Matrix:A Study on Criteria," MPRA Paper 73700, University Library of Munich, Germany.
    24. Kristie M. Engemann & Ruben Hernandez-Murillo & Michael T. Owyang, 2008. "Regional aggregation in forecasting: an application to the Federal Reserve's Eighth District," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Oct, pages 15-29.
    25. Herrera Gomez Marcos & Fernández Pablo, 2023. "Regresiones SUR Espaciales. Análisis espacio-temporal del empleo sectorial en Argentina," Asociación Argentina de Economía Política: Working Papers 4660, Asociación Argentina de Economía Política.
    26. Ulrich K. Müller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Working Papers 2021-61, Princeton University. Economics Department..
    27. Fujin Yi & Sihan Lyu & Lu Yang, 2024. "More Power Generation, More Wheat Losses? Evidence from Wheat Productivity in North China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(4), pages 907-931, April.
    28. Silva, José Maria Cardoso & Araujo, Leonardo Schultz & Torres, Roger Rodrigues & Barbosa, Luis Claudio Fernandes, 2024. "The sustainability of development pathways and climate change vulnerability in the Americas," Ecological Economics, Elsevier, vol. 220(C).
    29. Ulrich K. Müller & Mark W. Watson, 2022. "Spatial Correlation Robust Inference," Econometrica, Econometric Society, vol. 90(6), pages 2901-2935, November.
    30. Jesus Mur & Antonio Paez, 2011. "Local weighting or the necessity of flexibility," ERSA conference papers ersa11p942, European Regional Science Association.
    31. Guilherme DePaula, 2018. "Technology Adoption and the Agricultural Supply Response Function," Center for Agricultural and Rural Development (CARD) Publications 18-wp582, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    32. Barreca, Alan I. & Fishback, Price V. & Kantor, Shawn, 2012. "Agricultural policy, migration, and malaria in the United States in the 1930s," Explorations in Economic History, Elsevier, vol. 49(4), pages 381-398.
    33. Morgan Kelly, 2020. "Understanding Persistence," Working Papers 202023, School of Economics, University College Dublin.
    34. Ladislava Grochová & Luboš Střelec, 2013. "Heteroskedasticity, temporal and spatial correlation matter," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2151-2155.
    35. Kikuta,Kyosuke, 2022. "Rainy Friday: religious participation and protests," IDE Discussion Papers 859, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    36. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
    37. Min Seong Kim, 2021. "Robust Inference for Diffusion-Index Forecasts with Cross-Sectionally Dependent Data," Working papers 2021-04, University of Connecticut, Department of Economics.
    38. Cotteleer, Geerte & Gardebroek, Cornelis, 2006. "Bargaining and market power in a GIS-based hedonic pricing model of the agricultural land market," 2006 Annual meeting, July 23-26, Long Beach, CA 21255, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    39. Archibong, Belinda, 2019. "Explaining divergence in the long-term effects of precolonial centralization on access to public infrastructure services in Nigeria," World Development, Elsevier, vol. 121(C), pages 123-140.
    40. Bingbing Zhang & Lelan Kong & Zhehong Xu & Chuanwang Sun, 2024. "Evolution of China's Role in the Structure of Global Carbon Emission Transfers: An Empirical Analysis Based on Network Governance," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 32(1), pages 130-166, January.
    41. Nicolás González-Pampillón, 2019. "Spillover effects from new housing supply," CEP Discussion Papers dp1660, Centre for Economic Performance, LSE.
    42. Alan Barreca & Price V. Fishback & Shawn Kantor, 2011. "Agricultural Policy, Migration, and Malaria in the 1930s United States," NBER Working Papers 17526, National Bureau of Economic Research, Inc.
    43. Nemera Gebeyehu Mamo, 2018. "Essays on natural resources in Africa: local economic development, multi-ethnic coalitions and armed conflict," Economics PhD Theses 0518, Department of Economics, University of Sussex Business School.
    44. Piras, Gianfranco, 2010. "sphet: Spatial Models with Heteroskedastic Innovations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i01).
    45. Pede, Valerien O. & Florax, Raymond J.G.M. & Holt, Matthew T., 2008. "Modeling Non-Linear Spatial Dynamics: A Family of Spatial STAR Models and an Application to U.S. Economic Growth," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6518, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    46. Fernando Antonio Ignacio González & Lara Sofía Cantero & Pablo Ariel Szyszko, 2023. "Inequality and economic activity under regional favoritism: evidence from Argentina," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(2), pages 343-361, August.

  22. Molinari, Francesca & Peski, Marcin, 2005. "Generalization of a Result on "Regression, Short and Long"," Working Papers 05-09, Cornell University, Center for Analytic Economics.

    Cited by:

    1. D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2018. "Rationalizing Rational Expectations? Tests and Deviations," IZA Discussion Papers 11989, Institute of Labor Economics (IZA).
    2. D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2021. "Rationalizing Rational Expectations: Characterizations and Tests," TSE Working Papers 21-1211, Toulouse School of Economics (TSE).
    3. Matthew Masten & Alexandre Poirier, 2016. "Partial independence in nonseparable models," CeMMAP working papers 26/16, Institute for Fiscal Studies.
    4. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    5. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Sarah Moon, 2024. "Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model," Papers 2403.07236, arXiv.org, revised May 2024.
    7. David Pacini, 2012. "Least Square Linear Prediction with Two-Sample Data," Bristol Economics Discussion Papers 12/631, School of Economics, University of Bristol, UK.
    8. Matthew A. Masten & Alexandre Poirier, 2017. "Identification of Treatment Effects under Conditional Partial Independence," Papers 1707.09563, arXiv.org.

  23. McFadden, Daniel L. & Bemmaor, Albert C. & Caro, Francis G. & Dominitz, Jeff & Jun, Byung-hill & Lewbel, Arthur & Matzkin, Rosa L. & Molinari, Francesca & Schwarz, Norbert & Willis, Robert J. & Winter, 2005. "Statistical analysis of choice experiments and surveys," Munich Reprints in Economics 19251, University of Munich, Department of Economics.

    Cited by:

    1. Omar Galárraga & Sandra Sosa-Rubí & César Infante & Paul Gertler & Stefano Bertozzi, 2014. "Willingness-to-accept reductions in HIV risks: conditional economic incentives in Mexico," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(1), pages 41-55, January.
    2. Böckerman, Petri & Ilmakunnas, Pekka, 2007. "Unemployment and self-assessed health: Evidence from panel data," MPRA Paper 1798, University Library of Munich, Germany.
    3. Groneck, Max & Ludwig, Alexander & Zimper, Alexander, 2016. "A life-cycle model with ambiguous survival beliefs," Journal of Economic Theory, Elsevier, vol. 162(C), pages 137-180.
    4. Thøgersen, John, 2017. "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, Elsevier, vol. 102(C), pages 73-87.
    5. Fredrik Carlsson & Mitesh Kataria & Elina Lampi, 2009. "Dealing with ignored attributes in choice experiments on valuation of Sweden's environmental quality objectives," Jena Economics Research Papers 2009-089, Friedrich-Schiller-University Jena.
    6. Poulissen, Davey & De Grip, Andries & Fouarge, Didier & Künn-Nelen, Annemarie, 2023. "Employers’ willingness to invest in the training of temporary versus permanent workers: A discrete choice experiment," Labour Economics, Elsevier, vol. 84(C).
    7. Slonimczyk, Fabian & Francesconi, Marco & Yurko, Anna, 2017. "Moving On Up for High School Graduates in Russia: The Consequences of the Unified State Exam Reform," IZA Discussion Papers 10679, Institute of Labor Economics (IZA).
    8. Harou, Aurelie P. & Tamim, Abdulrazzak, 2024. "Technology adoption and farmer beliefs: Experimental evidence from Tanzania," 2024 Annual Meeting, July 28-30, New Orleans, LA 344029, Agricultural and Applied Economics Association.
    9. Francesca De Nicola & Xavier Gene, 2012. "How accurate are recall data? Evidence from coastal India," Working Papers id:5010, eSocialSciences.
    10. Kevin Chen & Marta Wilson-Barthes & Jeffrey E. Harris & Omar Galárraga, 2023. "Incentivizing COVID-19 vaccination among racial/ethnic minority adults in the United States: $209 per dose could convince the hesitant," Health Economics Review, Springer, vol. 13(1), pages 1-11, December.
    11. Delavande, Adeline & Gine, Xavier & McKenzie, David, 2009. "Measuring Subjective Expectations in Developing Countries: A Critical Review and New Evidence," Policy Research Working Paper Series 4824, The World Bank.
    12. Andersson, Alfred & Winslott Hiselius, Lena & Adell, Emeli, 2020. "The effect of marketing messages on the motivation to reduce private car use in different segments," Transport Policy, Elsevier, vol. 90(C), pages 22-30.
    13. Trinh, Tra Thi & Munro, Alistair, 2024. "Climate change and migration decisions: A choice experiment from the Mekong Delta, Vietnam," Ecological Economics, Elsevier, vol. 224(C).
    14. Donatella Baiardi, 2021. "What do you think about climate change?," Working Papers 477, University of Milano-Bicocca, Department of Economics, revised Aug 2021.
    15. Richard, Pierre J. & Coltman, Tim & Keating, Byron W., 2009. "Designing IS service strategy: an information acceleration approach," MPRA Paper 40488, University Library of Munich, Germany.
    16. Poulissen, Davey & de Grip, Andries & Fouarge, Didier & Künn, Annemarie, 2021. "Employers’ willingness to invest in the training of temporary workers: a discrete choice experiment," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    17. de Grip, Andries & Fouarge, Didier & Montizaan, Raymond, 2019. "Redistribution of Individual Pension Wealth to Survivor Pensions: Evidence from a Stated Preferences Analysis," IZA Discussion Papers 12625, Institute of Labor Economics (IZA).
    18. Jacobsen, Ben & Lee, John B. & Marquering, Wessel & Zhang, Cherry Y., 2014. "Gender differences in optimism and asset allocation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 630-651.
    19. Thomas F. Crossley & Joachim K. Winter, 2014. "Asking Households about Expenditures: What Have We Learned?," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 23-50, National Bureau of Economic Research, Inc.
    20. Alexander Ludwig & Alexander Zimper, 2007. "A Parsimonious Model of Subjective Life Expectancy," MEA discussion paper series 07154, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    21. Licht, Amir N. & Adams, Renee B., 2020. "Shareholders and Stakeholders around the World: The Role of Values, Culture, and Law in Directors' Decisions," LawFin Working Paper Series 13, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    22. Dmitri Vinogradov & Yousef Makhlouf, 2017. "Signaling Probabilities in Ambiguity: on the impact of vague news," Working Papers 2017_12, Business School - Economics, University of Glasgow.
    23. Belyaev, Yuri & Kriström, Bengt, 2012. "Two-step approach to Self-Selected Interval Data in Elicitation Surveys," CERE Working Papers 2012:10, CERE - the Center for Environmental and Resource Economics.
    24. Thøgersen, John, 2018. "Transport-related lifestyle and environmentally-friendly travel mode choices: A multi-level approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 166-186.
    25. Angel G. Angelov & Magnus Ekström, 2019. "Maximum likelihood estimation for survey data with informative interval censoring," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(2), pages 217-236, June.
    26. Borghans, Lex & Romans, Margo & Sauermann, Jan, 2010. "What Makes a Good Conference? Analysing the Preferences of Labor Economists," IZA Discussion Papers 4870, Institute of Labor Economics (IZA).
    27. Søren Olsen, 2009. "Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(4), pages 591-610, December.
    28. Persichina, Marco & Kriström, Bengt, 2022. "Self-selected intervals in psycho-physic experiments and the measurement of willingness to pay," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    29. Dmitri Vinogradov & Yousef Makhlouf, 2021. "Signaling probabilities in ambiguity: who reacts to vague news?," Theory and Decision, Springer, vol. 90(3), pages 371-404, May.
    30. Francesconi, Marco & Slonimczyk, Fabián & Yurko, Anna, 2019. "Democratizing access to higher education in Russia: The consequences of the unified state exam reform," European Economic Review, Elsevier, vol. 117(C), pages 56-82.
    31. Donatella Baiardi & Riccardo Puglisi & Simona Scabrosetti, 2012. "Individual Attitudes on Food Quality and Safety: Empirical Evidence on EU Countries," DEM Working Papers Series 014, University of Pavia, Department of Economics and Management.
    32. Ó González-Benito & M P Martínez-Ruiz & A Molla-Descals, 2009. "Spatial mapping of price competition using logit-type market share models and store-level scanner-data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 52-62, January.
    33. Stefano Balbi & Carlo Giupponi & Roland Olschewski & Vahid Mojtahed, 2013. "The economics of hydro-meteorological disasters: approaching the estimation of the total costs," Working Papers 2013-12, BC3.
    34. Donatella Baiardi, 2021. "What do you think about climate change?," Working Paper series 21-16, Rimini Centre for Economic Analysis.
    35. Angel G. Angelov & Magnus Ekström, 2017. "Nonparametric estimation for self-selected interval data collected through a two-stage approach," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(4), pages 377-399, May.
    36. Thiagu Ranganathan & Sarthak Gaurav & Ashish Singh, 2014. "Using choice experiments, we estimate the willingness to pay for price insurance among cotton and paddy farmers in the Indian state of Gujarat. We also identify the interactions between the demand for," IEG Working Papers 340, Institute of Economic Growth.

Articles

  1. Levon Barseghyan & Francesca Molinari, 2023. "Risk Preference Types, Limited Consideration, and Welfare," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1011-1029, October.
    See citations under working paper version above.
  2. Pamela Giustinelli & Charles F Manski & Francesca Molinari, 2022. "Precise or Imprecise Probabilities? Evidence from Survey Response Related to Late-Onset Dementia," Journal of the European Economic Association, European Economic Association, vol. 20(1), pages 187-221.

    Cited by:

    1. Kerwin, Jason & Pandey, Divya, 2023. "Navigating Ambiguity: Imprecise Probabilities and the Updating of Disease Risk Beliefs," IZA Discussion Papers 16478, Institute of Labor Economics (IZA).
    2. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    3. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    4. Luca Henkel, 2023. "Experimental Evidence on the Relationship Between Perceived Ambiguity and Likelihood Insensitivity," CRC TR 224 Discussion Paper Series crctr224_2023_440, University of Bonn and University of Mannheim, Germany.
    5. Jane Greve & Morten Saaby & Anders Rosdahl & Vibeke Tornhøj Christensen, 2021. "Uncertain occupational expectations at age 19 and later educational and labour market outcomes," LABOUR, CEIS, vol. 35(2), pages 163-191, June.
    6. Erdenesuren, Lkhagvaa, 2023. "Expectation, anticipation, and identification : Essays on subjective expectations and economic decision-making," Other publications TiSEM b9653e21-b96f-4bbe-8862-c, Tilburg University, School of Economics and Management.

  3. Kaido, Hiroaki & Molinari, Francesca & Stoye, Jörg, 2022. "Constraint Qualifications In Partial Identification," Econometric Theory, Cambridge University Press, vol. 38(3), pages 596-619, June.
    See citations under working paper version above.
  4. 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.
    See citations under working paper version above.
  5. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2021. "Discrete Choice under Risk with Limited Consideration," American Economic Review, American Economic Association, vol. 111(6), pages 1972-2006, June.
    See citations under working paper version above.
  6. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    See citations under working paper version above.
  7. Manski, Charles F. & Molinari, Francesca, 2021. "Estimating the COVID-19 infection rate: Anatomy of an inference problem," Journal of Econometrics, Elsevier, vol. 220(1), pages 181-192.
    See citations under working paper version above.
  8. Levon Barseghyan & Francesca Molinari & Darcy Steeg Morris & Joshua C. Teitelbaum, 2020. "The Cost of Legal Restrictions on Experience Rating," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(1), pages 38-70, March.

    Cited by:

    1. Zifeng Zhao & Peng Shi & Xiaoping Feng, 2021. "Knowledge Learning of Insurance Risks Using Dependence Models," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 1177-1196, July.

  9. Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019. "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, vol. 87(4), pages 1397-1432, July.
    See citations under working paper version above.
  10. Levon Barseghyan & Francesca Molinari & Ted O'Donoghue & Joshua C. Teitelbaum, 2018. "Estimating Risk Preferences in the Field," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 501-564, June.

    Cited by:

    1. Hammitt, James K., 2020. "Valuing mortality risk in the time of covid-19," TSE Working Papers 20-1115, Toulouse School of Economics (TSE).
    2. Jose Apesteguia & Miguel Ángel Ballester, 2020. "Separating predicted randomness from residual behavior," Economics Working Papers 1757, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Benjamin L. Collier & Daniel Schwartz & Howard C. Kunreuther & Erwann O. Michel-Kerjan, 2017. "Risk Preferences in Small and Large Stakes: Evidence from Insurance Contract Decisions," NBER Working Papers 23579, National Bureau of Economic Research, Inc.
    4. Jiong Gong & Ping Jiang & Xiaochuan Xing, 2018. "Compensation Convexity without Utility Restriction," Australian Economic Papers, Wiley Blackwell, vol. 57(3), pages 238-249, September.
    5. Yokoo, Hide-Fumi & 横尾, 英史 & Arimura, Toshi H. & 有村, 俊秀 & Chattopadhyay, Mriduchhanda & Katayama, Hajime & 片山, 東, 2021. "Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India," Discussion Papers 2021-03, Graduate School of Economics, Hitotsubashi University.
    6. Henk Keffert & Nikolaus Schweizer, 2024. "Stochastic Monotonicity and Random Utility Models: The Good and The Ugly," Papers 2409.00704, arXiv.org.
    7. Fezzi, Carlo & Menapace, Luisa & Raffaelli, Roberta, 2021. "Estimating risk preferences integrating insurance choices with subjective beliefs," European Economic Review, Elsevier, vol. 135(C).
    8. Hammitt, James K. & Liu, Jin-Tan & Liu, Jin-Long, 2022. "Is Survival a Luxury Good? Income Elasticity of the Value per Statistical Life," TSE Working Papers 22-1319, Toulouse School of Economics (TSE).
    9. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete Choice under Risk with Limited Consideration," Papers 1902.06629, arXiv.org, revised Jan 2021.
    10. Jeahan Jung & Jeong Yoo Kim, 2024. "Cheap Talk with Transparent and Monotone Motives from a Seller to an Informed Buyer," Games, MDPI, vol. 15(3), pages 1-20, May.
    11. Giannikos, Christos I. & Kakolyris, Andreas & Suen, Tin Shan, 2023. "Prospect theory and a manager's decision to trade a blind principal bid basket," Global Finance Journal, Elsevier, vol. 55(C).
    12. Kuroishi, Yusuke & Sawada, Yasuyuki, 2019. "Motivations behind prosocial behavior: Evidence from the Philippines," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    13. David Miles & James Sefton, 2021. "The University Pension Scheme – A Way Forward," National Institute of Economic and Social Research (NIESR) Policy Papers 31, National Institute of Economic and Social Research.
    14. Appelbaum, Elie & Melatos, Mark, 2024. "Preferential trade agreements as insurance," Journal of International Money and Finance, Elsevier, vol. 148(C).
    15. Mankaï, Selim & Marchand, Sébastien & Le, Ngoc Ha, 2024. "Valuing insurance against small probability risks: A meta-analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    16. Samuel Häfner, 2023. "Risk aversion in share auctions: Estimating import rents from TRQs in Switzerland," Quantitative Economics, Econometric Society, vol. 14(2), pages 419-470, May.
    17. Johannes G. Jaspersen & Marc A. Ragin & Justin R. Sydnor, 2019. "Predicting Insurance Demand from Risk Attitudes," NBER Working Papers 26508, National Bureau of Economic Research, Inc.
    18. Huong Trang Kim & Quang Nguyen, 2024. "Linking top managers’ behavioural traits with business practices and firm performance," Review of Managerial Science, Springer, vol. 18(11), pages 3253-3296, November.
    19. Byambadalai, Undral & Ma, Ching-to Albert & Wiesen, Daniel, 2023. "Changing preferences: An experiment and estimation of market-incentive effects on altruism," Journal of Health Economics, Elsevier, vol. 92(C).
    20. Milevsky, Moshe A., 2020. "Swimming with wealthy sharks: longevity, volatility and the value of risk pooling," Journal of Pension Economics and Finance, Cambridge University Press, vol. 19(2), pages 217-246, April.
    21. Gruener, Sven & Soliev, Ilkhom & Pirscher, Frauke, 2024. "Multiple crises in mind, biodiversity out of sight? Insights from a behavioral study in Germany," OSF Preprints q4upd, Center for Open Science.
    22. Olivier Armantier & Jérôme Foncel & Nicolas Treich, 2023. "Insurance and portfolio decisions: Two sides of the same coin?," Post-Print hal-04062463, HAL.
    23. David Staines, 2023. "Stochastic Equilibrium the Lucas Critique and Keynesian Economics," Papers 2312.16214, arXiv.org, revised Jun 2024.
    24. Jeroen Hinloopen & Adriaan R. Soetevent, 2020. "(Non‐)Insurance Markets, Loss Size Manipulation and Competition: Experimental Evidence," Journal of Industrial Economics, Wiley Blackwell, vol. 68(4), pages 819-856, December.
    25. Naranjo, Maria A. & Alpízar, Francisco & Martinsson, Peter, 2019. "Alternatives for Risk Elicitation in the Field: Evidence from Coffee Farmers in Costa Rica," EfD Discussion Paper 19-21, Environment for Development, University of Gothenburg.
    26. Undral Byambadalai & Ching-to Albert Ma & Daniel Wiesen, 2019. "Changing Preferences: An Experiment and Estimation of Market-Incentive E§ects on Altruism," Boston University - Department of Economics - Working Papers Series WP2019-11, Boston University - Department of Economics.
    27. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2024. "Monotone Additive Statistics," Econometrica, Econometric Society, vol. 92(4), pages 995-1031, July.
    28. Watanabe, Masahide & Fujimi, Toshio, 2022. "Ambiguity of scientific probability predictions and willingness-to-pay for climate change mitigation policies," Research in Economics, Elsevier, vol. 76(4), pages 386-402.
    29. Kunal Rajesh Lahoti & Shivani Hanji & Pratik Kamble & Kavita Vemuri, 2023. "Impact of Loss-Framing and Risk Attitudes on Insurance Purchase: Insights from a Game-like Interface Study," Papers 2310.13300, arXiv.org.
    30. Xue, Xiaole & Wei, Pengyu & Weng, Chengguo, 2019. "Derivatives trading for insurers," Insurance: Mathematics and Economics, Elsevier, vol. 84(C), pages 40-53.
    31. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2021. "Monotone Additive Statistics," Working Papers 2021-36, Princeton University. Economics Department..
    32. David Scrogin, 2023. "Estimating risk and time preferences over public lotteries: Findings from the field and stream," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 73-106, August.
    33. Johannes Haushofer & Paul Niehaus & Carlos Paramo & Edward Miguel & Michael W. Walker, 2022. "Targeting Impact versus Deprivation," NBER Working Papers 30138, National Bureau of Economic Research, Inc.

  11. Levon Barseghyan & Francesca Molinari & Joshua C. Teitelbaum, 2016. "Inference under stability of risk preferences," Quantitative Economics, Econometric Society, vol. 7(2), pages 367-409, July.

    Cited by:

    1. Ericson, Keith Marzilli & Kircher, Philipp & Spinnewijn, Johannes & Starc, Amanda, 2015. "Inferring risk perceptions and preferences using choice from insurance menus: theory and evidence," LSE Research Online Documents on Economics 87780, London School of Economics and Political Science, LSE Library.
    2. Bernard Salanié, 2017. "Equilibrium in Insurance Markets: An Empiricist’s View," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(1), pages 1-14, March.
    3. Fezzi, Carlo & Menapace, Luisa & Raffaelli, Roberta, 2021. "Estimating risk preferences integrating insurance choices with subjective beliefs," European Economic Review, Elsevier, vol. 135(C).
    4. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2019. "Discrete Choice under Risk with Limited Consideration," Papers 1902.06629, arXiv.org, revised Jan 2021.
    5. Alex Gershkov & Benny Moldovanu & Philipp Strack & Mengxi Zhang, 2023. "Optimal Insurance: Dual Utility, Random Losses and Adverse Selection," ECONtribute Discussion Papers Series 242, University of Bonn and University of Cologne, Germany.
    6. Byambadalai, Undral & Ma, Ching-to Albert & Wiesen, Daniel, 2023. "Changing preferences: An experiment and estimation of market-incentive effects on altruism," Journal of Health Economics, Elsevier, vol. 92(C).
    7. Tinggui Chen & Qianqian Li & Peihua Fu & Jianjun Yang & Chonghuan Xu & Guodong Cong & Gongfa Li, 2020. "Public Opinion Polarization by Individual Revenue from the Social Preference Theory," IJERPH, MDPI, vol. 17(3), pages 1-29, February.
    8. Undral Byambadalai & Ching-to Albert Ma & Daniel Wiesen, 2019. "Changing Preferences: An Experiment and Estimation of Market-Incentive E§ects on Altruism," Boston University - Department of Economics - Working Papers Series WP2019-11, Boston University - Department of Economics.
    9. Charles F. Manski, 2018. "More on random utility models with bounded ambiguity," Theory and Decision, Springer, vol. 84(2), pages 205-213, March.

  12. Ilya Molchanov & Francesca Molinari, 2014. "Applications of Random Set Theory in Econometrics," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 229-251, August.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Karun Adusumilli & Taisuke Otsu, 2014. "Empirical Likelihood for Random Sets," STICERD - Econometrics Paper Series 574, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    5. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    6. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Brendan Kline & Elie Tamer, 2024. "Counterfactual Analysis in Empirical Games," Papers 2410.12731, arXiv.org.
    8. 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.

  13. Levon Barseghyan & Francesca Molinari & Ted O'Donoghue & Joshua C. Teitelbaum, 2013. "The Nature of Risk Preferences: Evidence from Insurance Choices," American Economic Review, American Economic Association, vol. 103(6), pages 2499-2529, October.
    See citations under working paper version above.
  14. Levon Barseghyan & Francesca Molinari & Ted O'Donoghue & Joshua C. Teitelbaum, 2013. "Distinguishing Probability Weighting from Risk Misperceptions in Field Data," American Economic Review, American Economic Association, vol. 103(3), pages 580-585, May.

    Cited by:

    1. Hayley Clatterbuck & Clinton Castro & Arvo Mu~noz Mor'an, 2024. "Risk Alignment in Agentic AI Systems," Papers 2410.01927, arXiv.org.
    2. Yokoo, Hide-Fumi & 横尾, 英史 & Arimura, Toshi H. & 有村, 俊秀 & Chattopadhyay, Mriduchhanda & Katayama, Hajime & 片山, 東, 2021. "Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India," Discussion Papers 2021-03, Graduate School of Economics, Hitotsubashi University.
    3. Nicholas Barberis, 2013. "The Psychology of Tail Events: Progress and Challenges," American Economic Review, American Economic Association, vol. 103(3), pages 611-616, May.

  15. 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.
  16. 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.
  17. Manski, Charles F. & Molinari, Francesca, 2010. "Rounding Probabilistic Expectations in Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 219-231.

    Cited by:

    1. Yifan Gong & Ralph Stinebrickner & Todd R. Stinebrickner, 2019. "Marriage, Children, and Labor Supply: Beliefs and Outcomes," NBER Working Papers 26334, National Bureau of Economic Research, Inc.
    2. Romuald Meango & Esther Mirjam Girsberger, 2023. "Identification of Ex ante Returns Using Elicited Choice Probabilities: an Application to Preferences for Public-sector Jobs," Papers 2303.03009, arXiv.org, revised Jun 2024.
    3. 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.
    4. Melissa Boyle & Justin Svec, 2022. "The Roundness of Antiquity Valuations from Auction Houses and Sales," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 602-630, October.
    5. Paul Ruud & Daniel Schunk & Joachim Winter, 2014. "Uncertainty causes rounding: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 17(3), pages 391-413, September.
    6. Peter Backé & Elisabeth Beckmann, 2020. "What drives people’s expectations of euro adoption? – Evidence from the OeNB Euro Survey on selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20, pages 57-79.
    7. Francesco D’Acunto & Daniel Hoang & Maritta Paloviita & Michael Weber, 2019. "IQ, Expectations, and Choice," NBER Working Papers 25496, National Bureau of Economic Research, Inc.
    8. Charles F. Manski, 2017. "Survey Measurement of Probabilistic Macroeconomic Expectations: Progress and Promise," NBER Working Papers 23418, National Bureau of Economic Research, Inc.
    9. Robert S. Pindyck, 2016. "The Social Cost of Carbon Revisited," NBER Working Papers 22807, National Bureau of Economic Research, Inc.
    10. Evans, Keith S. & Herriges, Joseph A., 2010. "Rounding in recreation demand models: a latent class count model," ISU General Staff Papers 201006020700001116, Iowa State University, Department of Economics.
    11. Naohito Abe & Yuko Ueno, 2016. "The Mechanism of Inflation Expectation Formation among Consumers," UTokyo Price Project Working Paper Series 064, University of Tokyo, Graduate School of Economics.
    12. Joan Costa-i-Font & Cristina Vilaplana-Prieto, 2021. "Biased Survival Expectations and Behaviours: Does Domain Specific Information Matter?," CESifo Working Paper Series 9424, CESifo.
    13. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    14. Lindsay C Kobayashi & Rebecca J Beeken & Susanne F Meisel, 2017. "Biopsychosocial predictors of perceived life expectancy in a national sample of older men and women," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    15. Lahiri, Kajal & Wang, J. George, 2013. "Evaluating probability forecasts for GDP declines using alternative methodologies," International Journal of Forecasting, Elsevier, vol. 29(1), pages 175-190.
    16. Chad Kendall & Tommaso Nannicini & Francesco Trebbi, 2013. "How Do Voters Respond to Information? Evidence from a Randomized Campaign," Working Papers 486, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    17. Craig Landry & Dylan Turner, 2020. "Risk Perceptions and Flood Insurance: Insights from Homeowners on the Georgia Coast," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    18. Stephane Bonhomme & Angela Denis, 2023. "Estimating Individual Responses when Tomorrow Matters," Papers 2310.09105, arXiv.org, revised May 2024.
    19. Bissonnette, Luc & Hurd, Michael D. & Michaud, Pierre-Carl, 2014. "Individual Survival Curves Comparing Subjective and Observed Mortality Risks," IZA Discussion Papers 8658, Institute of Labor Economics (IZA).
    20. Oben K Bayrak & Bengt Kriström, 2016. "Is there a valuation gap? The case of interval valuations," Economics Bulletin, AccessEcon, vol. 36(1), pages 218-236.
    21. Jason F. Shogren & Jason F. Shogren, 2013. "Bidding Behavior given Point and Interval Values in a Second-price Auction," Economics Discussion Paper Series 1310, Economics, The University of Manchester.
    22. Joanne W. Hsu, 2011. "Aging and Strategic Learning: The Impact of Spousal Incentives on Financial Literacy," NFI Working Papers 2011-WP-06, Indiana State University, Scott College of Business, Networks Financial Institute.
    23. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    24. Franco Peracchi & Valeria Perotti, 2010. "Subjective survival probabilities and life tables: Evidence from Europe," EIEF Working Papers Series 1016, Einaudi Institute for Economics and Finance (EIEF), revised Nov 2011.
    25. Breitmoser, Yves, 2017. "Discrete Choice with Presentation Effects," Rationality and Competition Discussion Paper Series 35, CRC TRR 190 Rationality and Competition.
    26. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    27. Pedersen, Line Bjørnskov & Mørkbak, Morten Raun & Scarpa, Riccardo, 2020. "Handling resolvable uncertainty from incomplete scenarios in future doctors' job choice – Probabilities vs discrete choices," Journal of choice modelling, Elsevier, vol. 34(C).
    28. Celidoni, Martina & Costa-Font, Joan & Salmasi, Luca, 2022. "Too healthy to fall sick? Longevity expectations and protective health behaviours during the first wave of COVID-19," LSE Research Online Documents on Economics 115979, London School of Economics and Political Science, LSE Library.
    29. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    30. Breitmoser, Yves, 2016. "The axiomatic foundation of logit and its relation to behavioral welfare," MPRA Paper 71632, University Library of Munich, Germany.
    31. MURASAWA Yasutomo, 2010. "Measuring Inflation Expectations Using Interval-Coded Data," ESRI Discussion paper series 236, Economic and Social Research Institute (ESRI).
    32. Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
    33. Murasawa, Yasutomo, 2017. "Measuring the Distributions of Public Inflation Perceptions and Expectations in the UK," MPRA Paper 76244, University Library of Munich, Germany.
    34. Breitmoser, Yves, 2016. "Stochastic choice, systematic mistakes and preference estimation," MPRA Paper 72779, University Library of Munich, Germany.
    35. Staffa, Ruben Marek, 2023. "Macroeconomic effects from sovereign risk vs. Knightian uncertainty," IWH Discussion Papers 27/2023, Halle Institute for Economic Research (IWH).
    36. 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.
    37. Kettlewell, Nathan, 2020. "Subjective Expectations for Health Service Use and Consequences for Health Insurance Behavior," IZA Discussion Papers 13445, Institute of Labor Economics (IZA).
    38. Jonas Dovern & Geoff Kenny, 2020. "Anchoring Inflation Expectations in Unconventional Times: Micro Evidence for the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 309-347, October.
    39. Dietrich, Alexander M., 2023. "Consumption categories, household attention, and inflation expectations: Implications for optimal monetary policy," University of Tübingen Working Papers in Business and Economics 157, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    40. Manski, Charles F. & Neri, Claudia, 2013. "First- and second-order subjective expectations in strategic decision-making: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 81(C), pages 232-254.
    41. Ian B. Page & Erik Lichtenberg & Monica Saavoss, 2020. "Estimating Willingness to Pay from Count Data When Survey Responses are Rounded," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(3), pages 657-675, March.
    42. Bago d'Uva, Teresa & O'Donnell, Owen & van Doorslaer, Eddy, 2020. "Who can predict their own demise? Heterogeneity in the accuracy and value of longevity expectations☆," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    43. Ye, Zihan & Zou, Xiaopeng & Post, Thomas & Mo, Weiqiao & Yang, Qianqian, 2022. "Too old to plan? Age identity and financial planning among the older population of China," China Economic Review, Elsevier, vol. 73(C).
    44. D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2021. "Rationalizing Rational Expectations: Characterizations and Tests," TSE Working Papers 21-1211, Toulouse School of Economics (TSE).
    45. Nils Grevenbrock & Max Groneck & Alexander Ludwig & Alexander Zimper, 2021. "Cognition, Optimism, And The Formation Of Age‐Dependent Survival Beliefs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 887-918, May.
    46. Joachim Winter & Amelie C. Wuppermann, 2012. "Do they Know what's at Risk? Health Risk Perception among the Obese," CESifo Working Paper Series 3864, CESifo.
    47. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    48. Reyes, Germán, 2024. "Coarse Wage-Setting and Behavioral Firms," IZA Discussion Papers 17039, Institute of Labor Economics (IZA).
    49. Michael P. Clements, 2011. "An Empirical Investigation of the Effects of Rounding on the SPF Probabilities of Decline and Output Growth Histograms," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 207-220, February.
    50. Jesper Akesson & Sam Ashworth-Hayes & Robert Hahn & Robert D. Metcalfe & Itzhak Rasooly, 2020. "Fatalism, Beliefs, and Behaviors During the COVID-19 Pandemic," NBER Working Papers 27245, National Bureau of Economic Research, Inc.
    51. Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
    52. Asher A. Blass & Saul Lach & Charles F. Manski, 2010. "Using Elicited Choice Probabilities To Estimate Random Utility Models: Preferences For Electricity Reliability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 421-440, May.
    53. Abe, Naohito & Ueno, Yuko, 2016. "The Mechanism of Inflation Expectation Formation among Consumers," RCESR Discussion Paper Series DP16-1, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    54. Katherine Carman & Peter Kooreman, 2014. "Probability perceptions and preventive health care," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 43-71, August.
    55. Italo A. Gutierrez & Pierre-Carl Michaud, 2017. "Whistle While You Work: Job Insecurity and Older Workers' Mental Health in the United States," Cahiers de recherche 1702, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    56. Post, Thomas & Hanewald, Katja, 2013. "Longevity risk, subjective survival expectations, and individual saving behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 200-220.
    57. Pavlova, Lora, 2024. "Framing effects in consumer expectations surveys," ZEW Discussion Papers 24-036, ZEW - Leibniz Centre for European Economic Research.
    58. Alexander Zimper, 2012. "The emergence of "fifty-fifty" probability judgements in a conditional Savage world," Working Papers 201221, University of Pretoria, Department of Economics.
    59. Binder Carola Conces, 2017. "Economic policy uncertainty and household inflation uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(2), pages 1-20, June.
    60. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    61. Stefan Hoderlein & Bettina Siflinger & Joachim Winter, 2015. "Identification of structural models in the presence of measurement error due to rounding in survey responses," Boston College Working Papers in Economics 869, Boston College Department of Economics.
    62. Pamela Giustinelli & Nicola Pavoni, 2017. "Online Appendix to "The Evolution of Awareness and Belief Ambiguity in the Process of High School Track Choice"," Online Appendices 16-101, Review of Economic Dynamics.
    63. V. P. Kirilenko & G. V. Alekseev, 2021. "Measuring Political Trust in a Modern Democracy," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 10.
    64. Bellemare, Charles & Sebald, Alexander, 2019. "Measuring Belief-Dependent Preferences without Information about Beliefs," IZA Discussion Papers 12153, Institute of Labor Economics (IZA).
    65. Thomas Crossley & Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2021. "Examining income expectations in the college and early post-college periods: new distributional tests of rational expectations," IFS Working Papers W21/01, Institute for Fiscal Studies.
    66. Chiara Binelli, 2019. "Employment and Earnings Expectations of Jobless Young Skilled: Evidence from Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 201-231, August.
    67. Péter Hudomiet & Robert J. Willis, 2013. "Estimating Second Order Probability Beliefs from Subjective Survival Data," Decision Analysis, INFORMS, vol. 10(2), pages 152-170, June.
    68. de Bresser, Jochem, 2016. "Test-Retest Reliability of Subjective Survival Expectations," Other publications TiSEM dfd6074d-31ae-4ecb-be25-6, Tilburg University, School of Economics and Management.
    69. Lee, Minjoon, 2023. "Portfolio allocation over the life cycle with multiple late-in-life saving motives," Journal of Empirical Finance, Elsevier, vol. 74(C).
    70. Slepicka, Jessie, 2022. "Reassessing the missing link in general deterrence research: A behavioral economic approach," Journal of Criminal Justice, Elsevier, vol. 82(C).
    71. Francesco D'Acunto & Ulrike Malmendier & Michael Weber, 2020. "Gender Roles and the Gender Expectations Gap," Working Papers 2020-11, Becker Friedman Institute for Research In Economics.
    72. Adeline Delavande & Xavier Giné & David McKenzie, 2011. "Eliciting probabilistic expectations with visual aids in developing countries: how sensitive are answers to variations in elicitation design?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 479-497, April.
    73. Germ'an Reyes, 2022. "Coarse Wage-Setting and Behavioral Firms," Papers 2206.01114, arXiv.org, revised Mar 2024.
    74. Galvão, Ana Beatriz & Mitchell, James, 2021. "Communicating Data Uncertainty: Multi-Wave Experimental Evidence for U.K. GDP," CEPR Discussion Papers 16417, C.E.P.R. Discussion Papers.
    75. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    76. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    77. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
    78. Yasutomo Murasawa, 2020. "Measuring public inflation perceptions and expectations in the UK," Empirical Economics, Springer, vol. 59(1), pages 315-344, July.
    79. David A. Comerford, 2024. "Response Bias in Survey Measures of Expectations: Evidence from the Survey of Consumer Expectations’ Inflation Module," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 933-953, June.
    80. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    81. Wändi Bruine de Bruin & Katherine G. Carman, 2012. "Measuring Risk Perceptions," Medical Decision Making, , vol. 32(2), pages 232-236, March.
    82. Giovanni Immordino & Tullio Jappelli & Tommaso Oliviero, 2024. "Consumption and income expectations during Covid-19," Review of Economics of the Household, Springer, vol. 22(1), pages 95-116, March.
    83. Diaz-Serrano, Luis & Nilsson, William, 2017. "The Reliability of Students' Earnings Expectations," IZA Discussion Papers 10700, Institute of Labor Economics (IZA).
    84. Lopera Baena, Maria Adelaida, 2016. "Evidence of Conditional and Unconditional Cooperation in a Public Goods Game: Experimental Evidence from Mali," VfS Annual Conference 2016 (Augsburg): Demographic Change 145797, Verein für Socialpolitik / German Economic Association.
    85. Patrick Schmidt, 2019. "Eliciting ambiguity with mixing bets," Papers 1902.07447, arXiv.org, revised Aug 2024.
    86. Delavande, Adeline & Del Bono, Emilia & Holford, Angus, 2022. "Academic and non-academic investments at university: The role of expectations, preferences and constraints," Journal of Econometrics, Elsevier, vol. 231(1), pages 74-97.
    87. Maxime Phillot & Rina Rosenblatt-Wisch, 2024. "Order Matters: An Experimental Study on How Question Ordering Affects Survey-Based Inflation Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 20(3), pages 63-114, July.
    88. Drechsler, Jörg & Kiesl, Hans, 2014. "Beat the heap - an imputation strategy for valid inferences from rounded income data," IAB-Discussion Paper 201402, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    89. Yifan Gong & Todd Stinebrickner & Ralph Stinebrickner, 2020. "Perceived and actual option values of college enrollment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 940-959, November.
    90. van Santen, Peter & Alessie, Rob & Kalwij, Adriaan, 2012. "Probabilistic survey questions and incorrect answers: Retirement income replacement rates," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 267-280.
    91. Page, Ian B. & Lichtenberg, Erik & Saavoss, Monica, 2015. "Estimating Recreation Demand When Survey Responses are Rounded," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205653, Agricultural and Applied Economics Association.
    92. Francesco D’Acunto & Ulrike Malmendier & Juan Ospina & Michael Weber, 2019. "Exposure to Daily Price Changes and Inflation Expectations," NBER Working Papers 26237, National Bureau of Economic Research, Inc.
    93. Clements, Michael P., 2008. "Rounding of probability forecasts: The SPF forecast probabilities of negative output growth," Economic Research Papers 269880, University of Warwick - Department of Economics.
    94. Robin L. Lumsdaine & Rogier J.D. Potter van Loon, 2013. "Wall Street vs. Main Street: An Evaluation of Probabilities," NBER Working Papers 19103, National Bureau of Economic Research, Inc.
    95. Clements, Michael P., 2021. "Rounding behaviour of professional macro-forecasters," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1614-1631.
    96. Frank Sloan & Lindsey Eldred & Tong Guo & Yanzhi Xu, 2013. "Are people overoptimistic about the effects of heavy drinking?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 93-127, August.
    97. Sarah Brown & Mark N. Harris & Preety Srivastava & Karl Taylor, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ - 12," Working Papers 2018013, The University of Sheffield, Department of Economics.
    98. Carman, Katherine Grace & Zamarro, Gema, 2016. "Does Financial Literacy Contribute To Food Security?," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(1), pages 1-19, January.
    99. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Other publications TiSEM a7e2b4d8-fed0-4e86-926f-d, Tilburg University, School of Economics and Management.
    100. Superti, Luiz Henrique, 2019. "Effects on Fertility of The Brazilian Cash Transfer Program: Evidence from a Regression Discontinuity Approach," MPRA Paper 104627, University Library of Munich, Germany, revised Oct 2020.
    101. Pamela Giustinelli, 2011. "Group Decision Making with Uncertain Outcomes: Unpacking Child-Parent Choices of High School Tracks," Working Papers 2011-030, Human Capital and Economic Opportunity Working Group.
    102. Gutierrez, Italo A., 2016. "Job insecurity, unemployment insurance and on-the-job search. Evidence from older American workers," Labour Economics, Elsevier, vol. 41(C), pages 228-245.
    103. Yves Breitmoser, 2021. "Controlling for presentation effects in choice," Quantitative Economics, Econometric Society, vol. 12(1), pages 251-281, January.
    104. Díaz Serrano, Lluís, 2017. "The Reliability of Students’ Earnings Expectations," Working Papers 2072/290760, Universitat Rovira i Virgili, Department of Economics.
    105. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.
    106. Christian Belzil & Julie Pernaudet & François Poinas, 2021. "Estimating Coherency between Survey Data and Incentivized Experimental Data," CIRANO Working Papers 2021s-30, CIRANO.
    107. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    108. Cosmin L. Ilut & Martin Schneider, 2022. "Modeling Uncertainty as Ambiguity: a Review," NBER Working Papers 29915, National Bureau of Economic Research, Inc.
    109. 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.
    110. Peter Backé & Elisabeth Beckmann, 2022. "Euro adoption in CESEE: How do financial literacy and trust in institutions affect people’s attitudes?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/22, pages 7-28.
    111. 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.
    112. Heiss, Florian & Hurd, Michael & Rossmann, Tobias & Winter, Joachim & van Rooij, Maarten, 2019. "Dynamics and Heterogeneity of Subjective Stock Market Expectations," Rationality and Competition Discussion Paper Series 157, CRC TRR 190 Rationality and Competition.
    113. Kettlewell, Nathan & Walker, Matthew J. & Yoo, Hong Il, 2024. "Alternative Models of Preference Heterogeneity for Elicited Choice Probabilities," IZA Discussion Papers 16821, Institute of Labor Economics (IZA).
    114. Leonardo Becchetti & Fabio Pisani & Berkan Acar, 2023. "Eudaimonic wellbeing and life expectancy," Kyklos, Wiley Blackwell, vol. 76(2), pages 179-195, May.
    115. de Bresser, Jochem, 2019. "Measuring subjective survival expectations – Do response scales matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 165(C), pages 136-156.
    116. de Bresser, Jochem & van Soest, Arthur, 2017. "The Predictive Power of Subjective Probability Questions," Other publications TiSEM 67bd2341-45c7-4e60-99e5-f, Tilburg University, School of Economics and Management.
    117. de Bresser, Jochem, 2019. "Measuring Subjective Survival Expectations : Do Response Scales Matter?," Other publications TiSEM 53bc2ec3-4126-4dfb-81f3-8, Tilburg University, School of Economics and Management.
    118. Arie Kapteyn & Jinkook Lee & Caroline Tassot & Hana Vonkova & Gema Zamarro, 2015. "Dimensions of Subjective Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 625-660, September.
    119. Bennett, Michael T. & Gong, Yazhen & Scarpa, Riccardo, 2018. "Hungry Birds and Angry Farmers: Using Choice Experiments to Assess “Eco-compensation” for Coastal Wetlands Protection in China," Ecological Economics, Elsevier, vol. 154(C), pages 71-87.
    120. Hana Braitsch & James Mitchell & Taylor Shiroff, 2024. "Practice Makes Perfect: Learning Effects with Household Point and Density Forecasts of Inflation," Working Papers 24-25, Federal Reserve Bank of Cleveland.
    121. Teresa Bago d'Uva & Esen Erdogan Ciftci & Owen O'Donnell & Eddy van Doorslaer, 2015. "Who can predict their Own Demise? Accuracy of Longevity Expectations by Education and Cognition," Tinbergen Institute Discussion Papers 15-052/V, Tinbergen Institute.
    122. de Bresser, Jochem, 2021. "Evaluating the Accuracy of Counterfactuals The Role of Heterogeneous Expectations in Life Cycle Models," Discussion Paper 2021-034, Tilburg University, Center for Economic Research.
    123. Wändi Bruine de Bruin & Keshav Dogra & Sebastian Heise & Edward S. Knotek & Brent Meyer & Robert W. Rich & Raphael Schoenle & Giorgio Topa & Wilbert Van der Klaauw, 2023. "Estimates of Cost-Price Passthrough from Business Survey Data," Working Papers 23-14, Federal Reserve Bank of Cleveland.
    124. Maria Iannario, 2012. "Modelling shelter choices in a class of mixture models for ordinal responses," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(1), pages 1-22, March.
    125. Markus Eyting & Patrick Schmidt, 2019. "Belief Elicitation with Multiple Point Predictions," Working Papers 1818, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 16 Nov 2020.
    126. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    127. Adeline Delavande & Jinkook Lee & Seetha Menon, 2017. "Eliciting Survival Expectations of the Elderly in Low-Income Countries: Evidence From India," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 673-699, April.
    128. Andrew Caplin, 2017. "Comment on "Survey Measurement of Probabilistic Economic Expectations: Progress and Promise"," NBER Chapters, in: NBER Macroeconomics Annual 2017, volume 32, pages 472-478, National Bureau of Economic Research, Inc.
    129. William Greene & Mark N. Harris & Preety Srivastava & Xueyan Zhao, 2018. "Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 372-389, February.
    130. Tullio Jappelli & Immacolata Marino & Mario Padula, 2021. "Social Security Uncertainty and Demand for Retirement Saving," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(4), pages 810-834, December.
    131. Eid, Nourhan & Maltby, Josephine & Talavera, Oleksandr, 2016. "Income Rounding and Loan Performance in the Peer-to-Peer Market," MPRA Paper 72852, University Library of Munich, Germany.
    132. Krivenko, Pavel, 2023. "Asset prices in a labor search model with confidence shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    133. Bell, D.N.F. & Comerford, D.A. & Douglas, E., 2020. "How do subjective life expectancies compare with mortality tables? Similarities and differences in three national samples," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    134. Grant Graziani & Wilbert van der Klaauw & Basit Zafar, 2016. "Workers' Spending Response to the 2011 Payroll Tax Cuts," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 124-159, November.
    135. Wändi Bruine de Bruin & Katherine G. Carman, 2018. "Measuring Subjective Probabilities: The Effect of Response Mode on the Use of Focal Responses, Validity, and Respondents’ Evaluations," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2128-2143, October.
    136. Junichi Kikuchi & Yoshiyuki Nakazono, 2023. "The Formation of Inflation Expectations: Microdata Evidence from Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(6), pages 1609-1632, September.
    137. Michael Gideon & Brooke Helppie-McFall & Joanne W. Hsu, 2017. "Heaping at Round Numbers on Financial Questions : The Role of Satisficing," Finance and Economics Discussion Series 2017-006, Board of Governors of the Federal Reserve System (U.S.).
    138. David R. Rappange & Job van Exel & Werner B. F. Brouwer, 2017. "A short note on measuring subjective life expectancy: survival probabilities versus point estimates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(1), pages 7-12, January.
    139. Hyytinen, Ari & Lahtonen, Jukka & Pajarinen, Mika, 2012. "Entrepreneurial optimism and survival," Bank of Finland Research Discussion Papers 20/2012, Bank of Finland.
    140. Basit Zafar, 2011. "Can subjective expectations data be used in choice models? evidence on cognitive biases," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 520-544, April.
    141. Breitmoser, Yves, 2018. "The Axiomatic Foundation of Logit," Rationality and Competition Discussion Paper Series 78, CRC TRR 190 Rationality and Competition.
    142. Zhao, Yongchen, 2023. "Internal consistency of household inflation expectations: Point forecasts vs. density forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1713-1735.
    143. Yang, Qianqian & Ye, Zihan & Chen, Rongda, 2024. "Working longer or working harder? Subjective survival expectations and labor supply in China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 827-847.
    144. Nathaniel Hendren, 2017. "Knowledge of Future Job Loss and Implications for Unemployment Insurance," American Economic Review, American Economic Association, vol. 107(7), pages 1778-1823, July.
    145. von Gaudecker, Hans-Martin & Wogrolly, Axel, 2022. "Heterogeneity in households’ stock market beliefs," Journal of Econometrics, Elsevier, vol. 231(1), pages 232-247.

  18. Molinari, Francesca, 2010. "Missing Treatments," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 82-95.
    See citations under working paper version above.
  19. 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.
  20. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    See citations under working paper version above.
  21. Conley, Timothy G. & Molinari, Francesca, 2007. "Spatial correlation robust inference with errors in location or distance," Journal of Econometrics, Elsevier, vol. 140(1), pages 76-96, September.
    See citations under working paper version above.
  22. Molinari, Francesca & Peski, Marcin, 2006. "Generalization Of A Result On “Regressions, Short And Long”," Econometric Theory, Cambridge University Press, vol. 22(1), pages 159-163, February.
    See citations under working paper version above.
  23. Daniel McFadden & Albert Bemmaor & Francis Caro & Jeff Dominitz & Byung-Hill Jun & Arthur Lewbel & Rosa Matzkin & Francesca Molinari & Norbert Schwarz & Robert Willis & Joachim Winter, 2005. "Statistical Analysis of Choice Experiments and Surveys," Marketing Letters, Springer, vol. 16(3), pages 183-196, December.
    See citations under working paper version above.

Chapters

  1. Francesca Molinari, 2010. "econometric issues in the presence of multiple equilibria," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.

    Cited by:

    1. Taisuke Otsu & Martin Pesendorfer & Yuya Sasaki & Yuya Takahashi, 2020. "Estimation of (static or dynamic) games under equilibrium multiplicity," STICERD - Econometrics Paper Series 611, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

Books

  1. Molchanov,Ilya & Molinari,Francesca, 2018. "Random Sets in Econometrics," Cambridge Books, Cambridge University Press, number 9781107121201, September.

    Cited by:

    1. 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.
    2. Vira Semenova, 2023. "Aggregated Intersection Bounds and Aggregated Minimax Values," Papers 2303.00982, arXiv.org, revised Jun 2024.
    3. 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.
    4. Andrew Chesher & Dongwoo Kim & Adam Rosen, 2021. "IV methods for Tobit models," CeMMAP working papers CWP26/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    6. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
    7. 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.
    8. 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.
    9. Marc-Arthur Diaye & Gleb Koshevoy & Ilya Molchanov, 2019. "Lift expectations of random sets [Augmenter les attentes concernant les ensembles aléatoires]," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03897964, HAL.
    10. Semenova, Vira, 2023. "Debiased machine learning of set-identified linear models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1725-1746.
    11. Antonio Avilés López & José Miguel Zapata García, 2020. "Boolean Valued Representation of Random Sets and Markov Kernels with Application to Large Deviations," Mathematics, MDPI, vol. 8(10), pages 1-23, October.
    12. Marc-Arthur Diaye & Gleb Koshevoy & Ilya Molchanov, 2019. "Lift expectations of random sets [Augmenter les attentes concernant les ensembles aléatoires]," Post-Print hal-03897964, HAL.
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