My bibliography
Save this item
Microeconometrics with Partial Identification
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Nathan Canen & Kristopher Ramsay, 2023. "Quantifying Theory in Politics: Identification, Interpretation and the Role of Structural Methods," Papers 2302.01897, arXiv.org.
- Paul S. Koh, 2022. "Stable Outcomes and Information in Games: An Empirical Framework," Papers 2205.04990, arXiv.org, revised May 2023.
- Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," Papers 2307.11857, arXiv.org.
- 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.
- Lixiong Li & D'esir'e K'edagni & Ismael Mourifi'e, 2020.
"Discordant Relaxations of Misspecified Models,"
Papers
2012.11679, arXiv.org, revised Dec 2022.
- Kedagni, Desire & Li, Lixiong & Mourifie, Ismael, 2021. "Discordant Relaxations of Misspecified Models," ISU General Staff Papers 202107280700001131, Iowa State University, Department of Economics.
- Marinho Bertanha & Margaux Luflade & Ismael Mourifi'e, 2023. "Causal Effects in Matching Mechanisms with Strategically Reported Preferences," Papers 2307.14282, arXiv.org, revised May 2024.
- Xiaoyu Cheng, 2022. "Robust Data-Driven Decisions Under Model Uncertainty," Papers 2205.04573, arXiv.org.
- Sarah Moon, 2024. "Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model," Papers 2403.07236, arXiv.org, revised May 2024.
- 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.
- Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," CeMMAP working papers CWP20/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178, arXiv.org.
- 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.
- 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.
- Jorg Stoye, 2020. "A Simple, Short, but Never-Empty Confidence Interval for Partially Identified Parameters," Papers 2010.10484, arXiv.org, revised Dec 2020.
- 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.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2021. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 21/21, Monash University, Department of Econometrics and Business Statistics.
- Lina Zhang & David T. Frazier & Don S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 34/20, Monash University, Department of Econometrics and Business Statistics.
- 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.
- Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2019. "Heterogeneous Choice Sets and Preferences," CeMMAP working papers CWP37/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2019. "Heterogeneous Choice Sets and Preferences," Papers 1907.02337, arXiv.org, revised Feb 2021.
- Jonathan Roth & Guillaume Saint-Jacques & YinYin Yu, 2021. "An Outcome Test of Discrimination for Ranked Lists," Papers 2111.07889, arXiv.org.
- Wenlong Ji & Lihua Lei & Asher Spector, 2023. "Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects," Papers 2310.08115, arXiv.org.
- D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2022.
"Partially Linear Models under Data Combination,"
IZA Discussion Papers
15230, Institute of Labor Economics (IZA).
- Xavier D'Haultfoeuille & Christophe Gaillac & Arnaud Maurel, 2022. "Partially Linear Models under Data Combination," NBER Working Papers 29953, National Bureau of Economic Research, Inc.
- Xavier D'Haultf{oe}uille & Christophe Gaillac & Arnaud Maurel, 2022. "Partially Linear Models under Data Combination," Papers 2204.05175, arXiv.org, revised Aug 2023.
- Jörg Stoye, 2022.
"Bounding infection prevalence by bounding selectivity and accuracy of tests: with application to early COVID-19 [False-negative results of initial RT-PCR assays for COVID-19: a systematic review],"
The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 1-14.
- Jorg Stoye, 2020. "Bounding Infection Prevalence by Bounding Selectivity and Accuracy of Tests: With Application to Early COVID-19," Papers 2008.06178, arXiv.org, revised Jan 2021.
- Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024.
"A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity,"
Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263,
Emerald Group Publishing Limited.
- 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.
- Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
- Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2023.
"Nonparametric Estimates of Demand in the California Health Insurance Exchange,"
Econometrica, Econometric Society, vol. 91(1), pages 107-146, January.
- 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.
- Yiwei Sun, 2023. "Extrapolating Away from the Cutoff in Regression Discontinuity Designs," Papers 2311.18136, arXiv.org.
- 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.
- Suguru Otani, 2021. "Estimating Endogenous Coalitional Mergers: Merger Costs and Assortativeness of Size and Specialization," Papers 2108.12744, arXiv.org, revised Mar 2023.
- Koh, Paul S., 2023. "Stable outcomes and information in games: An empirical framework," Journal of Econometrics, Elsevier, vol. 237(1).
- Vira Semenova, 2023. "Adaptive Estimation of Intersection Bounds: a Classification Approach," Papers 2303.00982, arXiv.org.
- Nathan Kallus, 2022. "What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment," Papers 2205.10327, arXiv.org, revised Nov 2022.
- 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.
- 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.
- Aibo Gong, 2021. "Bounds for Treatment Effects in the Presence of Anticipatory Behavior," Papers 2111.06573, arXiv.org, revised Dec 2022.
- Eric Auerbach & Yong Cai, 2023. "Identifying Socially Disruptive Policies," Papers 2306.15000, arXiv.org, revised Jun 2023.
- Charles F. Manski, 2022. "Identification and Statistical Decision Theory," Papers 2204.11318, arXiv.org, revised Mar 2024.
- 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.
- Aaron L. Bodoh-Creed & Brent R. Hickman & John A. List & Ian Muir & Gregory K. Sun, 2023.
"Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing,"
NBER Working Papers
31647, National Bureau of Economic Research, Inc.
- 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.
- 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 Jan 2024.
- Ryo Okui, 2021. "A moment inequality approach to statistical inference for rankings," The Japanese Economic Review, Springer, vol. 72(2), pages 169-184, April.
- Shuowen Chen & Hiroaki Kaido, 2022. "Robust Tests of Model Incompleteness in the Presence of Nuisance Parameters," Papers 2208.11281, arXiv.org, revised Sep 2023.