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Yingyao Hu

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:
  1. Shuaizhang Feng & Yingyao Hu, 2010. "Misclassification errors and the underestimation of U.S. unemployment rates," Economics Working Paper Archive 561, The Johns Hopkins University,Department of Economics.

    Mentioned in:

    1. How high in the true US unemployment rate?
      by Economic Logician in Economic Logic on 2010-08-05 19:25:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Shuaizhang Feng & Yingyao Hu, 2013. "Misclassification Errors and the Underestimation of the US Unemployment Rate," American Economic Review, American Economic Association, vol. 103(2), pages 1054-1070, April.

    Mentioned in:

    1. Misclassification Errors and the Underestimation of the US Unemployment Rate (AER 2013) in ReplicationWiki ()

Working papers

  1. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.

    Cited by:

    1. Eduardo Souza-Rodrigues & Adrian L. Torchiana & Ted Rosenbaum & Paul T. Scott, 2020. "Improving Estimates of Transitions from Satellite Data: A Hidden Markov Model Approach," Working Papers tecipa-672, University of Toronto, Department of Economics.
    2. Chanda, Areendam & Cook, Justin, 2019. "Who Gained from India’s Demonetization? Insights from Satellites and Surveys," MPRA Paper 95762, University Library of Munich, Germany.
    3. Rangel González Erick & Llamosas-Rosas Irving, 2021. "Observing the Evolution of the Informal Sector from Space: A Municipal Approach 2013-2020," Working Papers 2021-18, Banco de México.
    4. Richard Bluhm & Melanie Krause, 2020. "Top Lights: Bright cities and their contribution to economic development," SoDa Laboratories Working Paper Series 2020-08, Monash University, SoDa Laboratories.
    5. Dickinson, Jeffrey, 2020. "Planes, Trains, and Automobiles: What Drives Human-Made Light?," MPRA Paper 103504, University Library of Munich, Germany.
    6. Jeet Agnihotri & Subhankar Mishra, 2021. "Indian Economy and Nighttime Lights," Papers 2103.03179, arXiv.org.
    7. Kim, Kyoochul, 2022. "The North Korean economy seen by satellite: Estimates of national performance, regional gaps based on nighttime light," Journal of Asian Economics, Elsevier, vol. 78(C).
    8. Jaqueson K. Galimberti & Stefan Pichler & Regina Pleninger, 2021. "Measuring Inequality using Geospatial Data," KOF Working papers 21-493, KOF Swiss Economic Institute, ETH Zurich.
    9. Leonard Mushunje & Maxwell Mashasha, 2023. "Non-Banking Sector development effect on Economic Growth. A Nighttime light data approach," Papers 2401.08596, arXiv.org.
    10. Stein, Merlin, 2021. "Re-evaluating RCTs with nightlights - An example from biometric smartcards in India," University of Tübingen Working Papers in Business and Economics 152, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    11. Lai, Pingyao & Zhu, Tian, 2022. "Deflating China's nominal GDP: 2004–2018," China Economic Review, Elsevier, vol. 71(C).
    12. Dickinson, Jeffrey, 2020. "Planes, Trains, and Automobiles: Night-time Lights of the USA," MPRA Paper 100841, University Library of Munich, Germany.

  2. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2021. "The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training," Management Science, INFORMS, vol. 67(11), pages 7046-7074, November.

  3. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. 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.
    2. 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.
    3. Khurshid, Hamid & Snell, Robin Stanley, 2021. "Examining mechanisms for creating shared value by Asian firms," Journal of Business Research, Elsevier, vol. 129(C), pages 122-133.

  4. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic decisions under subjective expectations: a structural analysis," CeMMAP working papers CWP11/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Victor Aguirregabiria, 2021. "Identification of firms’ beliefs in structural models of market competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 5-33, February.
    2. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
    3. Taiga Tsubota, 2021. "Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting," Papers 2111.10721, arXiv.org, revised Jul 2022.
    4. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    5. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Papers 2109.01725, arXiv.org, revised Sep 2021.
    6. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Chao Wang & Stefan Weiergraeber & Ruli Xiao, 2022. "Identification of Dynamic Discrete Choice Models with Hyperbolic Discounting Using a Terminating Action," CAEPR Working Papers 2022-010 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.

  5. Yingyao Hu & Ruli Xiao, 2018. "Global estimation of finite mixture and misclassi fication models with an application to multiple equilibria," CeMMAP working papers CWP32/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.

  6. Yingyao Hu & Matthew Shum & Matthew Shum & Ruli Xiao, 2015. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," CAEPR Working Papers 2015-017, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.

    Cited by:

    1. 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.
    2. Cheng Chou & Tim Derdenger & Vineet Kumar, 2019. "Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods: Overcoming the Curse of Dimensionality," Marketing Science, INFORMS, vol. 38(5), pages 888-909, September.
    3. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
    4. Jonathan Leightner & Tomoo Inoue & Pierre Lafaye de Micheaux, 2021. "Variable Slope Forecasting Methods and COVID-19 Risk," JRFM, MDPI, vol. 14(10), pages 1-22, October.
    5. Mitsukuni Nishida & Nathan Yang, 2014. "Better Together? Retail Chain Performance Dynamics in Store Expansion Before and After Mergers," Working Papers 14-08, NET Institute.
    6. Liran Einav & Amy Finkelstein & Neale Mahoney, 2018. "Provider Incentives and Healthcare Costs: Evidence From Long‐Term Care Hospitals," Econometrica, Econometric Society, vol. 86(6), pages 2161-2219, November.

  7. Shuaizhang Feng & Yingyao Hu & Robert Moffitt, 2015. "Long Run Trends in Unemployment and Labor Force Participation in China," Working Papers id:7279, eSocialSciences.

    Cited by:

    1. Sangui Wang & Yu Wang & Fengfeng Gu & Danyan Lu, 2015. "Living Wage Benchmark Report: Urban China, Shenzhen (August 2015)," Global Living Wage Coalition (GLWC) 15-01-06, Universidad Privada Boliviana.
    2. Jie Chen & Mingzhi Hu, 2019. "What types of homeowners are more likely to be entrepreneurs? The evidence from China," Small Business Economics, Springer, vol. 52(3), pages 633-649, March.
    3. Ting Wang & Areendam Chanda, 2016. "Manufacturing Growth and Local Multipliers in China," Departmental Working Papers 2016-02, Department of Economics, Louisiana State University.
    4. Fu, Shihe & Liao, Yu & Zhang, Junfu, 2016. "The Effect of Housing Wealth on Labor Force Participation: Evidence from China," IZA Discussion Papers 9745, Institute of Labor Economics (IZA).
    5. Wang, Ting & Chanda, Areendam, 2018. "Manufacturing growth and local employment multipliers in China," Journal of Comparative Economics, Elsevier, vol. 46(2), pages 515-543.
    6. Haiyan Ding & Hui He, 2018. "A Tale of Transition: An Empirical Analysis of Economic Inequality in Urban China, 1986-2009," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 106-137, July.
    7. Chong-En Bai & Chang-Tai Hsieh & Zheng Michael Song, 2016. "The Long Shadow of a Fiscal Expansion," NBER Working Papers 22801, National Bureau of Economic Research, Inc.
    8. Asadullah, Niaz & Xiao, Saizi & Yeoh, Emile Kok-Kheng, 2016. "Subjective Well-being in China, 2005-2010: The Role of Relative Income, Gender and Location," IZA Discussion Papers 9637, Institute of Labor Economics (IZA).
    9. Ding Lu, 2017. "China's Growth Slowdown and Prospects for Becoming a High-Income Developed Economy," Asian Economic Papers, MIT Press, vol. 16(1), pages 89-113, Winter/Sp.
    10. Iyer, Lakshmi & Meng, Xin & Qian, Nancy & Zhao, Xiaoxue, 2019. "Economic transition and private-sector labor: Evidence from urban China," Journal of Comparative Economics, Elsevier, vol. 47(3), pages 579-600.
    11. Chong-En Bai & Chang-Tai Hsieh & Zheng (Michael) Song, 2016. "The Long Shadow of China’s Fiscal Expansion," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 129-181.
    12. You, Jing & Yi, Xuejie & Chen, Meng, 2016. "Love, Life, and “Leftover Ladies” in Urban China," MPRA Paper 70494, University Library of Munich, Germany.
    13. Chen, Xi & Ge, Suqin, 2018. "Social norms and female labor force participation in urban China," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 966-987.
    14. Gary Jefferson, 2016. "China's New Lost Generation: The Casualty of China's Economic Transformation," Working Papers 107, Brandeis University, Department of Economics and International Business School.

  8. 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.

    Cited by:

    1. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    2. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    3. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers 40/15, Institute for Fiscal Studies.
    4. Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2015. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," Working Papers wp2015_1506, CEMFI.

  9. Yonghong An & Yingyao Hu & Pengfei Liu, 2015. "Estimating private provision of public goods with heterogenous participants: a structural analysis," CeMMAP working papers CWP18/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. An, Yonghong, 2017. "Identification of first-price auctions with non-equilibrium beliefs: A measurement error approach," Journal of Econometrics, Elsevier, vol. 200(2), pages 326-343.

  10. Susanne M. Schennach & Yingyao Hu, 2012. "Nonparametric identification and semiparametric estimation of classical measurement error models without side information," CeMMAP working papers CWP40/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Hahn, Jinyong & Hausman, Jerry & Kim, Jeonghwan, 2021. "A small sigma approach to certain problems in errors-in-variables models," Economics Letters, Elsevier, vol. 208(C).
    2. Pierre‐André Chiappori & Ju Hyun Kim, 2017. "A note on identifying heterogeneous sharing rules," Quantitative Economics, Econometric Society, vol. 8(1), pages 201-218, March.
    3. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    4. Aurélie Bertrand & Ingrid Van Keilegom & Catherine Legrand, 2019. "Flexible parametric approach to classical measurement error variance estimation without auxiliary data," Biometrics, The International Biometric Society, vol. 75(1), pages 297-307, March.
    5. Layla Parast & Tanya P. Garcia & Ross L. Prentice & Raymond J. Carroll, 2022. "Robust methods to correct for measurement error when evaluating a surrogate marker," Biometrics, The International Biometric Society, vol. 78(1), pages 9-23, March.
    6. Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
    7. Erickson, Timothy & Jiang, Colin Huan & Whited, Toni M., 2014. "Minimum distance estimation of the errors-in-variables model using linear cumulant equations," Journal of Econometrics, Elsevier, vol. 183(2), pages 211-221.
    8. Arthur Lewbel, 2020. "Kotlarski with a Factor Loading," Boston College Working Papers in Economics 1001, Boston College Department of Economics, revised 15 Dec 2020.
    9. Susanne M. Schennach, 2013. "Entropic Latent Variable Integration via Simulation," CeMMAP working papers CWP32/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    11. Andrew Chesher, 2017. "Understanding the effect of measurement error on quantile regressions," CeMMAP working papers CWP19/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Hu, Yingyao & Schennach, Susanne & Shiu, Ji-Liang, 2022. "Identification of nonparametric monotonic regression models with continuous nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 226(2), pages 269-294.
    13. Garcia, Tanya P. & Ma, Yanyuan, 2017. "Simultaneous treatment of unspecified heteroskedastic model error distribution and mismeasured covariates for restricted moment models," Journal of Econometrics, Elsevier, vol. 200(2), pages 194-206.
    14. Hao Dong & Yuya Sasaki, 2022. "Estimation of Average Derivatives of Latent Regressors: With an Application to Inference on Buffer-Stock Saving," Papers 2209.05914, arXiv.org.
    15. Lance Lochner & Youngki Shin, 2014. "Understanding Earnings Dynamics: Identifying and Estimating the Changing Roles of Unobserved Ability, Permanent and Transitory Shocks," NBER Working Papers 20068, National Bureau of Economic Research, Inc.
    16. Ben-Moshe, Dan & D’Haultfœuille, Xavier & Lewbel, Arthur, 2017. "Identification of additive and polynomial models of mismeasured regressors without instruments," Journal of Econometrics, Elsevier, vol. 200(2), pages 207-222.
    17. Hao Dong & Taisuke Otsu & Luke Taylor, 2019. "Average Derivative Estimation Under Measurement Error," Departmental Working Papers 1901, Southern Methodist University, Department of Economics.
    18. Bustamante, M. Cecilia, 2016. "How Do Frictions Affect Corporate Investment? A Structural Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(6), pages 1863-1895, December.
    19. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    20. Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017. "Simulated minimum distance estimation of dynamic models with errors-in-variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.
    21. Hong Li & Qifan Song & Jianxi Su, 2021. "Robust estimates of insurance misrepresentation through kernel quantile regression mixtures," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 625-663, September.
    22. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    23. Hahn, Jinyong & Ridder, Geert, 2017. "Instrumental variable estimation of nonlinear models with nonclassical measurement error using control variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 238-250.
    24. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    25. 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.
    26. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    27. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    28. Bertrand, Aurelie & Van Keilegom, Ingrid & Legrand, Catherine, 2017. "Flexible parametric approach to classical measurement error variance estimation without auxiliary data," LIDAM Discussion Papers ISBA 2017025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    29. 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.
    30. Jingxuan Luo & Lili Yue & Gaorong Li, 2023. "Overview of High-Dimensional Measurement Error Regression Models," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    31. Mochen Yang & Edward McFowland III & Gordon Burtch & Gediminas Adomavicius, 2020. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem," Papers 2012.10790, arXiv.org.
    32. 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.
    33. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    34. Anish Agarwal & Rahul Singh, 2021. "Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy," Papers 2107.02780, arXiv.org, revised Feb 2024.
    35. Kirill Evdokimov & Andrei Zeleneev, 2024. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 05/24, Institute for Fiscal Studies.
    36. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    37. 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.
    38. Tom Boot & Art=uras Juodis, 2023. "Uniform Inference in Linear Error-in-Variables Models: Divide-and-Conquer," Papers 2301.04439, arXiv.org.
    39. 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.
    40. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.

  11. Yingyao Hu & Ji-Liang Shiu, 2011. "Nonparametric identification using instrumental variables: sufficient conditions for completeness," CeMMAP working papers CWP25/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Fève, Frédérique & Florens, Jean-Pierre, 2014. "Non parametric analysis of panel data models with endogenous variables," Journal of Econometrics, Elsevier, vol. 181(2), pages 151-164.
    2. Babii, Andrii & Florens, Jean-Pierre, 2020. "Is completeness necessary? Estimation in nonidentified linear models," TSE Working Papers 20-1091, Toulouse School of Economics (TSE).
    3. Dalderop, Jeroen, 2023. "Semiparametric estimation of latent variable asset pricing models," Journal of Econometrics, Elsevier, vol. 236(1).
    4. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    5. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
    6. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    7. Loh, Isaac, 2023. "Genericity of the completeness condition with constrained instruments," Economics Letters, Elsevier, vol. 224(C).
    8. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2018. "Consumption Peer Effects and Utility Needs in India," Boston College Working Papers in Economics 958, Boston College Department of Economics, revised 15 Sep 2021.
    9. Ben Deaner, 2018. "Proxy Controls and Panel Data," Papers 1810.00283, arXiv.org, revised Nov 2023.
    10. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. BIRKE, Mélanie & VAN BELLEGEM, Sébastien & VAN KEILEGOM, Ingrid, 2016. "Semi-Parametric Estimation in a Single- Index Model with Endogenous Variables," LIDAM Discussion Papers CORE 2016022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    13. Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.
    14. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.
    15. Senay Sokullu & Irene Botosaru & Chris Muris, 2022. "Time-Varying Linear Transformation Models with Fixed Effects and Endogeneity for Short Panels," Bristol Economics Discussion Papers 22/756, School of Economics, University of Bristol, UK.
    16. Wang, Ao, 2021. "A BLP Demand Model of Product-Level Market Shares with Complementarity," The Warwick Economics Research Paper Series (TWERPS) 1351, University of Warwick, Department of Economics.

  12. Guofang Huang & Yingyao Hu, 2011. "Estimating production functions with robustness against errors in the proxy variables," CeMMAP working papers CWP35/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Mike G. Tsionas & Subal C. Kumbhakar, 2023. "Proxy variable estimation of productivity and efficiency," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 885-923, January.
    2. Bournakis, Ioannis & Tsionas, Mike G., 2023. "A Non-Parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax," MPRA Paper 118100, University Library of Munich, Germany.
    3. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    4. Tong Li & Yuya Sasaki, 2017. "Constructive Identification of Heterogeneous Elasticities in the Cobb-Douglas Production Function," Papers 1711.10031, arXiv.org.
    5. Alvaro Aguirre & Matias Tapia & Lucciano Villacorta, 2021. "Production, Investment and Wealth Dynamics under Financial Frictions: An Empirical Investigation of the Selffinancing Channel," Working Papers Central Bank of Chile 904, Central Bank of Chile.
    6. Hu, Yingyao & Huang, Guofang & Sasaki, Yuya, 2020. "Estimating production functions with robustness against errors in the proxy variables," Journal of Econometrics, Elsevier, vol. 215(2), pages 375-398.
    7. Chen Yeh & Claudia Macaluso & Brad Hershbein, 2022. "Monopsony in the US Labor Market," American Economic Review, American Economic Association, vol. 112(7), pages 2099-2138, July.
    8. Kim, Kyoo il & Petrin, Amil & Song, Suyong, 2016. "Estimating production functions with control functions when capital is measured with error," Journal of Econometrics, Elsevier, vol. 190(2), pages 267-279.
    9. Abito, Jose Miguel, 2019. "Estimating Production Functions with Fixed Effects," MPRA Paper 97825, University Library of Munich, Germany.
    10. Chen, Hanxue & Wang, Shuhong & Song, Malin, 2021. "Global Environmental Value Chain Embeddedness and Enterprise Production Efficiency Improvement," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 278-290.
    11. Mike G. Tsionas & Subal C. Kumbhakar, 2023. "Productivity and Performance: A GMM approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 331-344, April.
    12. Dibyendu Maiti & Chiranjib Neogi, 2020. "Endogeneity Corrected Stochastic Frontier with Market Imperfections," Working papers 313, Centre for Development Economics, Delhi School of Economics.
    13. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    14. Ainagul T. Mamyralieva & Aziza B. Karbekova & Gulchehra B. Abdyrahmanova, 2022. "Analysis of the economic sectors? sustainability of the Kyrgyz Republic," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(2), pages 185-204.
    15. Emir Malikov & Jingfang Zhang & Shunan Zhao & Subal C. Kumbhakar, 2023. "Accounting for Cross-Location Technological Heterogeneity in the Measurement of Operations Efficiency and Productivity," Papers 2302.13430, arXiv.org.

  13. Yonghong An & Michael R Baye & Yingyao Hu & John Morgan & Matt Shum, 2010. "Identification and Estimation of Online Price Competition with an Unknown Number of Firms," Working Papers 2010-17, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy, revised Nov 2012.

    Cited by:

    1. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    2. Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 2011. "Comparison Sites," Working Papers 2011-04, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    3. Raúl Bajo Buenestado, 2019. "Market prices, spatial distribution of consumers and firms' optimal locations in a linear city," Faculty Working Papers 02/19, School of Economics and Business Administration, University of Navarra.
    4. Sandro Shelegia & Chris M. Wilson, 2016. "A generalized model of sales," Economics Working Papers 1541, Department of Economics and Business, Universitat Pompeu Fabra.
    5. 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.
    6. Zhang, Yinjunjie & Xu, Zhicheng Phil & Palma, Marco A., 2017. "Misclassification Errors of Subjective Well-being: A New Approach to Mapping Happiness," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258553, Agricultural and Applied Economics Association.
    7. 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.
    8. 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.

  14. Yonghong An & Michael R. Baye & Yingyao Hu & John Morgan & Matt Shum, 2010. "Horizontal Mergers of Online Firms: Structural Estimation and Competitive Effects," Economics Working Paper Archive 564, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Jose Luis Moraga-Gonzalez & Matthijs R. Wildenbeest, 2011. "Comparison Sites," Working Papers 2011-04, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.

  15. Feng, Shuaizhang & Hu, Yingyao, 2010. "Misclassification Errors and the Underestimation of U.S. Unemployment Rates," IZA Discussion Papers 5057, Institute of Labor Economics (IZA).

    Cited by:

    1. Elsby, Michael W.L. & Hobijn, Bart & Şahin, Ayşegül, 2015. "On the importance of the participation margin for labor market fluctuations," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 64-82.
    2. Jung, Philip & Kuhn, Moritz, 2012. "Earnings Losses and Labor Mobility over the Lifecycle," IZA Discussion Papers 6835, Institute of Labor Economics (IZA).
    3. Hyslop, Dean R. & Townsend, Wilbur, 2017. "Employment misclassification in survey and administrative reports," Economics Letters, Elsevier, vol. 155(C), pages 19-23.
    4. vom Lehn, Christian & Ellsworth, Cache & Kroff, Zachary, 2020. "Reconciling Occupational Mobility in the Current Population Survey," IZA Discussion Papers 13509, Institute of Labor Economics (IZA).
    5. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    6. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
    7. Shuaizhang Feng & Jiandong Sun, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," Working Papers 2020-029, Human Capital and Economic Opportunity Working Group.
    8. Feng, Shuaizhang & Hu, Yingyao & Moffitt, Robert, 2017. "Long run trends in unemployment and labor force participation in urban China," Journal of Comparative Economics, Elsevier, vol. 45(2), pages 304-324.
    9. Guerrazzi, Marco & Ksebi, Ilham, 2018. "Measuring unemployment by means of official data and administrative records: Empirical and theoretical perspectives," MPRA Paper 87227, University Library of Munich, Germany.
    10. Ha Trong Nguyen & Huong Thu Le & Luke Connelly & Francis Mitrou, 2023. "Accuracy of self‐reported private health insurance coverage," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2709-2729, December.
    11. Shuaizhang Feng & Yingyao Hu & Robert Moffitt, 2015. "Long Run Trends in Unemployment and Labor Force Participation in China," Working Papers id:7279, eSocialSciences.
    12. Cho, Seung Jin & Winters, John V., 2020. "The Distributional Impacts of Early Employment Losses from COVID-19," IZA Discussion Papers 13266, Institute of Labor Economics (IZA).
    13. Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Robert E. Hall & Sam Schulhofer-Wohl, 2015. "Measuring Job-Finding Rates and Matching Efficiency with Heterogeneous Jobseekers," Working Papers 721, Federal Reserve Bank of Minneapolis.
    15. Michael Elsby & Bart Hobijn & Ayşegül Şahin, 2013. "On the Importance of the Participation Margin for Market Fluctuations," Working Paper Series 2013-05, Federal Reserve Bank of San Francisco.
    16. 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.
    17. Maximiliano Dvorkin, 2021. "International trade and labor reallocation: misclassification errors, mobility, and switching costs," Working Papers 2021-014, Federal Reserve Bank of St. Louis, revised Dec 2023.
    18. Ragui Assaad & Caroline Krafft & Shaimaa Yassin, 2018. "Comparing retrospective and panel data collection methods to assess labor market dynamics," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-34, December.
    19. Hie Joo Ahn & James D. Hamilton, 2019. "Measuring Labor-Force Participation and the Incidence and Duration of Unemployment," Finance and Economics Discussion Series 2019-035, Board of Governors of the Federal Reserve System (U.S.).
    20. Cho, Seung Jin & Lee, Jun Yeong & Winters, John, 2020. "Employment Impacts of the COVID-19 Pandemic across Metropolitan Status and Size," ISU General Staff Papers 202007070700001109, Iowa State University, Department of Economics.
    21. Robert E. Hall & Marianna Kudlyak, 2019. "Job-Finding and Job-Losing: A Comprehensive Model of Heterogeneous Individual Labor-Market Dynamics," NBER Working Papers 25625, National Bureau of Economic Research, Inc.
    22. Jyotirmoy Bhattacharya, 2023. "Indian Urban Workers’ Labour Market Transitions," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(2), pages 471-494, June.
    23. Stephanie F. Cheng, 2021. "The Information Externality of Public Firms’ Financial Information in the State‐Bond Secondary Market," Journal of Accounting Research, Wiley Blackwell, vol. 59(2), pages 529-574, May.
    24. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-errors-adjusted Sahm Rule for Early Identification of Economic Recession," GLO Discussion Paper Series 523, Global Labor Organization (GLO).
    25. Crawley, Andrew & Welch, Sarah & Yung, Julieta, 2021. "Improving estimates of job matching efficiency with different measures of unemployment," Journal of Macroeconomics, Elsevier, vol. 67(C).
    26. John Komlos, 2019. "The Real U.S. Unemployment Rate Is Twice the Official Rate, and the Phillips Curve," CESifo Working Paper Series 7859, CESifo.
    27. Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
    28. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.
    29. Hie Joo Ahn & James Hamilton, 2021. "Online Appendix to "Measuring Labor-Force Participation and the Incidence and Duration of Unemployment"," Online Appendices 20-490, Review of Economic Dynamics.
    30. Mitch Kunce, 2023. "Unemployment and Suicide in the United States: The Import of Addressing Cross-Sectional Dependence," Bulletin of Applied Economics, Risk Market Journals, vol. 10(1), pages 1-19.
    31. Créchet, Jonathan & Lalé, Etienne & Tarasonis, Linas, 2024. "Life-Cycle Worker Flows and Cross-Country Differences in Aggregate Employment," IZA Discussion Papers 16878, Institute of Labor Economics (IZA).
    32. Ng, Travis, 2014. "Bailing outsourcing," Journal of Comparative Economics, Elsevier, vol. 42(4), pages 983-993.
    33. Zeina Alsalman, 2023. "Oil price shocks and US unemployment: evidence from disentangling the duration of unemployment spells in the labor market," Empirical Economics, Springer, vol. 65(1), pages 479-511, July.
    34. Mr. Ippei Shibata, 2019. "Are Labor Market Indicators Telling the Truth? Role of Measurement Error in the U.S. Current Population Survey," IMF Working Papers 2019/040, International Monetary Fund.
    35. 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.
    36. Zhang, Yinjunjie & Xu, Zhicheng Phil & Palma, Marco A., 2017. "Misclassification Errors of Subjective Well-being: A New Approach to Mapping Happiness," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258553, Agricultural and Applied Economics Association.
    37. Andrew C. Chang & Phillip Li, 2018. "Measurement Error In Macroeconomic Data And Economics Research: Data Revisions, Gross Domestic Product, And Gross Domestic Income," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1846-1869, July.
    38. Feng, Shuaizhang & Hu, Yingyao & Sun, Jiandong, 2018. "On the robustness of alternative unemployment measures," Economics Letters, Elsevier, vol. 166(C), pages 1-5.
    39. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Misclassification in binary choice models," Journal of Econometrics, Elsevier, vol. 200(2), pages 295-311.
    40. 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.
    41. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," IZA Discussion Papers 13168, Institute of Labor Economics (IZA).
    42. Feng, Shuaizhang & Guo, Naijia, 2019. "Labor Market Dynamics in Urban China and the Role of the State Sector," IZA Discussion Papers 12170, Institute of Labor Economics (IZA).
    43. Shuaizhang Feng & Naijia Guo, 2019. "Labor Market Dynamics in Urban China and the Role of the State Sector," Working Papers 2019-008, Human Capital and Economic Opportunity Working Group.
    44. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    45. John Komlos, 2019. "Estimating Labor Market Slack, U.S. 1994-2019," CESifo Working Paper Series 7941, CESifo.
    46. Marcin Wozniak, 2021. "Spatial matching on the urban labor market: estimates with unique micro data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-17, December.
    47. Yonghong An & Pengfei Liu, 2020. "Eliciting Information from Sensitive Survey Questions," Papers 2009.01430, arXiv.org.
    48. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    49. Martin Garcia-Vazquez, 2021. "Identification and Estimation of Non-stationary Hidden Markov Models," Working Papers 2021-023, Human Capital and Economic Opportunity Working Group.
    50. 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.
    51. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
    52. Jonathan Créchet & Étienne Lalé & Linas Tarasonis, 2023. "Life-Cycle Worker Flows and Cross-country Differences in Aggregate Employment," Working Papers 2306E, University of Ottawa, Department of Economics.
    53. Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.
    54. Joohun Han & Chanjin Chung, 2021. "Impact of Aging and Underemployment on Income Disparity between Agricultural and Non-Agricultural Households," Sustainability, MDPI, vol. 13(21), pages 1-15, October.

  16. David McAdams & Yingyao Hu & Matthew Shum, 2010. "Nonparametric Identification of First-Price Auctions with Non-Separable Unobserved Heterogeneity," Working Papers 10-63, Duke University, Department of Economics.

    Cited by:

    1. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    2. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    3. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.
    4. Sağlam, Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Working Paper Series 19224, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.

  17. Yingyao Hu & Yutaka Kayaba & Matthew Shum, 2010. "Nonparametric learning rules from bandit experiments: the eyes have it!," CeMMAP working papers CWP15/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Stephan Billinger & Kannan Srikanth & Nils Stieglitz & Terry R. Schumacher, 2021. "Exploration and exploitation in complex search tasks: How feedback influences whether and where human agents search," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 361-385, February.
    3. Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2018. "Observational and reinforcement pattern-learning : An exploratory study," Post-Print halshs-01723513, HAL.
    4. Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2016. "Counter intuitive learning: An exploratory study," Working Papers hal-01358716, HAL.
    5. Douglas Norton & R. Isaac, 2012. "Experts with a conflict of interest: a source of ambiguity?," Experimental Economics, Springer;Economic Science Association, vol. 15(2), pages 260-277, June.
    6. An, Yonghong & Hu, Yingyao & Liu, Pengfei, 2018. "Estimating heterogeneous contributing strategies in threshold public goods provision: A structural analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 124-146.
    7. Carlos Alós-Ferrer & Alexander Jaudas & Alexander Ritschel, 2021. "Effortful Bayesian updating: A pupil-dilation study," Journal of Risk and Uncertainty, Springer, vol. 63(1), pages 81-102, August.
    8. 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.
    9. Naoki Watanabe, 2022. "Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects’ Search Behavior," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 81-107, April.
    10. 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.
    11. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    12. Dimitrije Marković & Andrea M F Reiter & Stefan J Kiebel, 2019. "Predicting change: Approximate inference under explicit representation of temporal structure in changing environments," PLOS Computational Biology, Public Library of Science, vol. 15(1), pages 1-31, January.
    13. 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.
    14. Oyarzun, Carlos & Sanjurjo, Adam & Nguyen, Hien, 2017. "Response functions," European Economic Review, Elsevier, vol. 98(C), pages 1-31.

  18. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Yusuke Matsuki, 2016. "A Distribution-Free Test of Monotonicity with an Application to Auctions," Working Papers e110, Tokyo Center for Economic Research.
    2. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    3. Yingyao Hu & Ji‐Liang Shiu, 2018. "Identification and estimation of semi‐parametric censored dynamic panel data models of short time periods," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 55-85, February.
    4. Shiu, Ji-Liang, 2014. "An alternative identification of nonlinear dynamic panel data models with unobserved covariates," Economics Letters, Elsevier, vol. 122(2), pages 338-342.
    5. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    6. Yingyao Hu & Ji-Liang Shiu, 2011. "Nonparametric identification using instrumental variables: sufficient conditions for completeness," CeMMAP working papers CWP25/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Cizek, P. & Lei, J., 2013. "Identification and Estimation of Nonseparable Single-Index Models in Panel Data with Correlated Random Effects," Other publications TiSEM 73e394eb-6799-4c79-af23-8, Tilburg University, School of Economics and Management.
    8. Yingyao Hu & Matthew Shum, 2008. "Nonparametric Identification of Dynamic Models with Unobserved State Variables," Economics Working Paper Archive 543, The Johns Hopkins University,Department of Economics.
    9. 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.
    10. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
    11. 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.
    12. 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.
    13. 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.

  19. Yonghong An & Yingyao Hu, 2009. "Well-posedness of measurement error models for self-reported data," CeMMAP working papers CWP35/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Maria Marshall & Anna Flaig, 2014. "Marriage, Children, and Self-Employment Earnings: An Analysis of Self-Employed Women in the US," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 313-322, September.
    2. Rohman, Ibrahim Kholilul & Bohlin, Erik, 2011. "Towards the alternative measurement: Discovering the relationships between technology adoption and quality of life in Indonesia," 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications - Emerging Regulatory, Economic and Policy Issues 52206, International Telecommunications Society (ITS).
    3. Enache, Andreea & Florens, Jean-Pierre, 2020. "Quantile Analysis of "Hazard-Rate" Game Models," TSE Working Papers 20-1117, Toulouse School of Economics (TSE).
    4. Kassas, Bachir & Palma, Marco & Ness, Meghan & Anderson, David, 2017. "Fine-Tuning Willingness-To-Pay Estimates in Second Price Auctions," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252793, Southern Agricultural Economics Association.
    5. Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    7. Yingyao Hu & Ji-Liang Shiu, 2011. "Nonparametric identification using instrumental variables: sufficient conditions for completeness," CeMMAP working papers CWP25/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Kassas, Bachir & Palma, Marco A. & Anderson, David P., 2018. "Fine-tuning willingness-to-pay estimates in second price auctions for market goods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 77(C), pages 50-61.
    9. Jerry Hausman & Haoyang Liu & Ye Luo & Christopher Palmer, 2021. "Errors in the Dependent Variable of Quantile Regression Models," Econometrica, Econometric Society, vol. 89(2), pages 849-873, March.
    10. Escanciano, J C. & Hoderlein, S. & Lewbel, A. & Linton, O. & Srisuma, S., 2020. "Nonparametric Euler Equation Identi?cation and Estimation," Cambridge Working Papers in Economics 2064, Faculty of Economics, University of Cambridge.
    11. Andrews, Donald W.K., 2017. "Examples of L2-complete and boundedly-complete distributions," Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
    12. Toru Kitagawa & Martin Nybom & Jan Stuhler, 2018. "Measurement error and rank correlations," CeMMAP working papers CWP28/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  20. Yingyao Hu & David McAdams & Matthew Shum, 2009. "Nonparametric identification of auction models with non-separable unobserved heterogeneity," CeMMAP working papers CWP15/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    2. Elena Krasnokutskaya, 2010. "Identification and Estimation of Auction Model with Two-Dimensional Unobserved Heterogeneity," PIER Working Paper Archive 10-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    3. 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.
    4. 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.

  21. Yingyao Hu & Geert Ridder, 2009. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," Economics Working Paper Archive 554, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Laurent Davezies & Thomas Le Barbanchon, 2014. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," Working Papers 2014-27, Center for Research in Economics and Statistics.
    2. Susanne M. Schennach, 2013. "Convolution without independence," CeMMAP working papers CWP46/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
    4. Dong, Hao & Taylor, Luke, 2022. "Nonparametric Significance Testing In Measurement Error Models," Econometric Theory, Cambridge University Press, vol. 38(3), pages 454-496, June.
    5. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
    6. Eric Blankmeyer, 2018. "Measurement Errors as Bad Leverage Points," Papers 1807.02814, arXiv.org, revised Mar 2020.

  22. Yingyao Hu & Matthew Shum, 2008. "Identifying Dynamic Games with Serially-Correlated Unobservables," Economics Working Paper Archive 546, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Victor Aguirregabiria & Arvind Magesan, 2012. "Identification and estimation of dynamic games when players' beliefs are not in equilibrium," Working Papers tecipa-449, University of Toronto, Department of Economics.
    2. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    3. Holger Sieg & Chamna Yoon, 2017. "Estimating Dynamic Games of Electoral Competition to Evaluate Term Limits in US Gubernatorial Elections," American Economic Review, American Economic Association, vol. 107(7), pages 1824-1857, July.

  23. Yingyao Hu & Arthur Lewbel, 2008. "Identifying the returns to lying when the truth is unobserved," CeMMAP working papers CWP06/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Dong, Yingying & Lewbel, Arthur, 2011. "Nonparametric identification of a binary random factor in cross section data," Journal of Econometrics, Elsevier, vol. 163(2), pages 163-171, August.
    2. Fu, Lianyan & Gao, Wei & Shi, Ning-Zhong, 2011. "Estimation of relative average treatment effects with misclassification," Economics Letters, Elsevier, vol. 111(1), pages 95-98, April.

  24. Yingyao Hu & Matthew Shum, 2008. "Nonparametric identification of dynamic models with unobserved state variables," CeMMAP working papers CWP13/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    2. Bruneel-Zupanc, Christophe Alain, 2021. "Discrete-Continuous Dynamic Choice Models: Identification and Conditional Choice Probability Estimation," TSE Working Papers 21-1185, Toulouse School of Economics (TSE).
    3. 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.
    4. Babii, Andrii & Florens, Jean-Pierre, 2020. "Is completeness necessary? Estimation in nonidentified linear models," TSE Working Papers 20-1091, Toulouse School of Economics (TSE).
    5. Neele Balke & Thibaut Lamadon, 2020. "Productivity Shocks, Long-Term Contracts and Earnings Dynamics," Working Papers 2020-160, Becker Friedman Institute for Research In Economics.
    6. Hu Yingyao & Shum Matthew & Tan Wei & Xiao Ruli, 2017. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-16, January.
    7. Rasmus Lentz & Suphanit Piyapromdee & Jean-Marc Robin, 2022. "The Anatomy of Sorting - Evidence from Danish Data," SciencePo Working papers Main hal-03869383, HAL.
    8. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic decisions under subjective expectations: a structural analysis," CeMMAP working papers CWP11/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Rasmus Lentz & Jean Marc Robin & Suphanit Piyapromdee, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," 2018 Meeting Papers 469, Society for Economic Dynamics.
    10. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    11. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    12. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza‐Rodrigues, 2021. "Identification of counterfactuals in dynamic discrete choice models," Quantitative Economics, Econometric Society, vol. 12(2), pages 351-403, May.
    13. Fabio A. Miessi Sanches & Daniel Junior Silva & Sorawoot Srisuma, 2016. "Ordinary Least Squares Estimation Of A Dynamic Game Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 623-634, May.
    14. Oliver Cassagneau-Francis & Robert Gary-Bobo & Julie Pernaudet & Jean-Marc Robin, 2022. "A Nonparametric Finite Mixture Approach to Difference-in-Difference Estimation, with an Application to On-the-job Training and Wages," SciencePo Working papers Main hal-03869547, HAL.
    15. John Gardner, 2020. "Intergenerational altruism in the migration decision calculus: evidence from the African American Great Migration," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 115-154, January.
    16. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2017. "Dynamic Random Utility," Cowles Foundation Discussion Papers 2092, Cowles Foundation for Research in Economics, Yale University.
    17. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
    18. Taiga Tsubota, 2021. "Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting," Papers 2111.10721, arXiv.org, revised Jul 2022.
    19. Shiu, Ji-Liang, 2014. "An alternative identification of nonlinear dynamic panel data models with unobserved covariates," Economics Letters, Elsevier, vol. 122(2), pages 338-342.
    20. Hanming Fang & Edward Kung, 2012. "Why Do Life Insurance Policyholders Lapse? The Roles of Income, Health and Bequest Motive Shocks," NBER Working Papers 17899, National Bureau of Economic Research, Inc.
    21. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Papers 2109.01725, arXiv.org, revised Sep 2021.
    22. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    24. Hanming Fang & Yang Wang, 2010. "Estimating Dynamic Discrete Choice Models with Hyperbolic Discounting, with an Application to Mammography Decisions," NBER Working Papers 16438, National Bureau of Economic Research, Inc.
    25. Daniel Ackerberg & Garth Frazer & Kyoo il Kim & Yao Luo & Yingjun Su, 2023. "Under-Identification of Structural Models Based on Timing and Information Set Assumptions," Papers 2303.15170, arXiv.org.
    26. Dillenberger, David & Krishna, R. Vijay & Sadowski, Philipp, 2023. "Subjective information choice processes," Theoretical Economics, Econometric Society, vol. 18(2), May.
    27. Áureo de Paula & Xun Tang, 2020. "Testable implications of multiple equilibria in discrete games with correlated types," CeMMAP working papers CWP56/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    28. Yingyao Hu & Ji-Liang Shiu, 2011. "Nonparametric identification using instrumental variables: sufficient conditions for completeness," CeMMAP working papers CWP25/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers 40/15, Institute for Fiscal Studies.
    30. Carlos D Santos & Luís F Costa & Paulo B Brito, 2022. "Demand, Supply and Markup Fluctuations," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1620-1645.
    31. Jason R. Blevins & Ahmed Khwaja & Nathan Yang, 2018. "Firm Expansion, Size Spillovers, and Market Dominance in Retail Chain Dynamics," Management Science, INFORMS, vol. 64(9), pages 4070-4093.
    32. Alvaro Aguirre & Matias Tapia & Lucciano Villacorta, 2021. "Production, Investment and Wealth Dynamics under Financial Frictions: An Empirical Investigation of the Selffinancing Channel," Working Papers Central Bank of Chile 904, Central Bank of Chile.
    33. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2021. "Linear IV regression estimators for structural dynamic discrete choice models," Journal of Econometrics, Elsevier, vol. 222(1), pages 778-804.
    34. Zhou, Yiyi, 2012. "Failure to Launch in Two-Sided Markets: A Study of the U.S. Video Game Market," MPRA Paper 42002, University Library of Munich, Germany.
    35. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2021. "The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training," Management Science, INFORMS, vol. 67(11), pages 7046-7074, November.
    36. Ayden Higgins & Koen Jochmans, 2023. "Identification of Mixtures of Dynamic Discrete Choices," Working Papers hal-04251997, HAL.
    37. Cheng Chou & Tim Derdenger & Vineet Kumar, 2019. "Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods: Overcoming the Curse of Dimensionality," Marketing Science, INFORMS, vol. 38(5), pages 888-909, September.
    38. Taisuke Otsu & Martin Pesendorfer, 2021. "Equilibrium multiplicity in dynamic games: testing and estimation," STICERD - Econometrics Paper Series 618, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    39. Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2015. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," Working Papers wp2015_1506, CEMFI.
    40. Yingyao Hu & Yutaka Kayaba & Matthew Shum, 2010. "Nonparametric learning rules from bandit experiments: the eyes have it!," CeMMAP working papers CWP15/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Andriy Norets & Xun Tang, 2013. "Semi-Parametric Inference in Dynamic Binary Choice Models," PIER Working Paper Archive 13-054, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    42. Cheng Chou & Geert Ridder & Ruoyao Shi, 2024. "Identification and Estimation of Nonstationary Dynamic Binary Choice Models," Working Papers 202402, University of California at Riverside, Department of Economics.
    43. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    44. Taisuke Otsu & Martin Pesendorfer, 2023. "Equilibrium multiplicity in dynamic games: Testing and estimation," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 26-42.
    45. Jason R. Blevins, 2011. "Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models," Working Papers 11-01, Ohio State University, Department of Economics.
    46. Jared Ashworth & V. Joseph Hotz & Arnaud Maurel & Tyler Ransom, 2021. "Changes across Cohorts in Wage Returns to Schooling and Early Work Experiences," Journal of Labor Economics, University of Chicago Press, vol. 39(4), pages 931-964.
    47. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    48. Khai Chiong & Alfred Galichon & Matt Shum, 2015. "Duality in Dynamic Discrete Choice Models," Sciences Po publications info:hdl:2441/7svo6civd69, Sciences Po.
    49. Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2014. "Ordinary Least Squares Estimation for a Dynamic Game," Working Papers, Department of Economics 2014_19, University of São Paulo (FEA-USP), revised 23 Feb 2015.
    50. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    51. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
    52. Luo, Yao & Xiao, Ping & Xiao, Ruli, 2022. "Identification of dynamic games with unobserved heterogeneity and multiple equilibria," Journal of Econometrics, Elsevier, vol. 226(2), pages 343-367.
    53. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    54. Andrews, Donald W.K., 2017. "Examples of L2-complete and boundedly-complete distributions," Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
    55. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    56. Rasmus Lentz & Suphanit Piyapromdee & Jean-Marc Robin, 2022. "The Anatomy of Sorting - Evidence from Danish Data," Working Papers hal-03869383, HAL.
    57. Yingyao Hu & Matthew Shum, 2008. "Nonparametric Identification of Dynamic Models with Unobserved State Variables," Economics Working Paper Archive 543, The Johns Hopkins University,Department of Economics.
    58. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2013. "A Dynamic Model of Subprime Mortgage Default: Estimation and Policy Implications," NBER Working Papers 18850, National Bureau of Economic Research, Inc.
    59. 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.
    60. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
    61. Chen, Xiaohong & Linton, Oliver & Yi, Yanping, 2017. "Semiparametric identification of the bid–ask spread in extended Roll models," Journal of Econometrics, Elsevier, vol. 200(2), pages 312-325.
    62. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2015. "Identification of Counterfactuals in Dynamic Discrete Choice Models," NBER Working Papers 21527, National Bureau of Economic Research, Inc.
    63. 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.
    64. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    65. Kalouptsidi, Myrto & Scott, Paul & Souza-Rodrigues, Edouardo, 2015. "Identification of Counterfactuals and Payoffs in Dynamic Discrete Choice with an Application to Land Use," TSE Working Papers 15-596, Toulouse School of Economics (TSE).
    66. Joseph Mullins, 2022. "Designing Cash Transfers in the Presence of Children's Human Capital Formation," Working Papers 2022-019, Human Capital and Economic Opportunity Working Group.
    67. Arcidiacono, Peter & Miller, Robert A., 2020. "Identifying dynamic discrete choice models off short panels," Journal of Econometrics, Elsevier, vol. 215(2), pages 473-485.
    68. Balke, Neele & Lamadon, Thibaut, 2021. "Productivity shocks, long-term contracts and earnings dynamics," Working Paper Series 2021:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    69. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," CEPR Discussion Papers 13240, C.E.P.R. Discussion Papers.
    70. A. Ronald Gallant & Han Hong & Ahmed Khwaja, 2018. "The Dynamic Spillovers of Entry: An Application to the Generic Drug Industry," Management Science, INFORMS, vol. 64(3), pages 1189-1211, March.
    71. Hong, Han & Li, Weiming & Wang, Boyu, 2015. "Estimation of dynamic discrete models from time aggregated data," Journal of Econometrics, Elsevier, vol. 188(2), pages 435-446.
    72. Ruli Xiao, 2016. "Nonparametric Identification of Dynamic Games with Multiple Equilibria and Unobserved Heterogeneity," CAEPR Working Papers 2016-002, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    73. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," NBER Working Papers 25134, National Bureau of Economic Research, Inc.
    74. Yingyao Hu & Matthew Shum, 2008. "Identifying Dynamic Games with Serially-Correlated Unobservables," Economics Working Paper Archive 546, The Johns Hopkins University,Department of Economics.
    75. Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables From Longitudinal Data," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).
    76. Jaap H. Abbring, 2010. "Identification of Dynamic Discrete Choice Models," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 367-394, September.
    77. Martin Garcia-Vazquez, 2021. "Identification and Estimation of Non-stationary Hidden Markov Models," Working Papers 2021-023, Human Capital and Economic Opportunity Working Group.
    78. 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.
    79. Patrick Bajari & Victor Chernozhukov & Han Hong & Denis Nekipelov, 2015. "Identification and Efficient Semiparametric Estimation of a Dynamic Discrete Game," NBER Working Papers 21125, National Bureau of Economic Research, Inc.
    80. Gallant, A. Ronald & Hong, Han & Khwaja, Ahmed, 2018. "A Bayesian approach to estimation of dynamic models with small and large number of heterogeneous players and latent serially correlated states," Journal of Econometrics, Elsevier, vol. 203(1), pages 19-32.
    81. Liran Einav & Amy Finkelstein & Neale Mahoney, 2018. "Provider Incentives and Healthcare Costs: Evidence From Long‐Term Care Hospitals," Econometrica, Econometric Society, vol. 86(6), pages 2161-2219, November.

  25. Yingyao Hu & Arthur Lewbel, 2007. "Returns to Lying? Identifying the Effects of Misreporting When the Truth is Unobserved," Boston College Working Papers in Economics 678, Boston College Department of Economics, revised 16 Jun 2009.

    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. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    3. 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.

  26. Susanne M. Schennach & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," Boston College Working Papers in Economics 674, Boston College Department of Economics.

    Cited by:

    1. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    2. Andrea Neri & Roberta Zizza, 2010. "Income reporting behaviour in sample surveys," Temi di discussione (Economic working papers) 777, Bank of Italy, Economic Research and International Relations Area.

  27. Evans, Richard W. & Hu, Yingyao & Zhao, Zhong, 2007. "The Fertility Effect of Catastrophe: U.S. Hurricane Births," IZA Discussion Papers 2975, Institute of Labor Economics (IZA).

    Cited by:

    1. William DUPONT IV & Ilan NOY & OKUYAMA Yoko & SAWADA Yasuyuki, 2015. "The Long-Run Socio-Economic Consequences of a Large Disaster: The 1995 earthquake in Kobe," Discussion papers 15035, Research Institute of Economy, Trade and Industry (RIETI).
    2. Idriss Fontaine & Sabine Garabedian & David Nortes-Martinez & Helene Veremes, 2021. "Tropical Cyclones And Fertility : New Evidence From Madagascar," TEPP Working Paper 2021-02, TEPP.
    3. Eric Strobl, 2011. "The Economic Growth Impact of Hurricanes: Evidence from U.S. Coastal Counties," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 575-589, May.
    4. Fetzer, Thiemo & Pardo, Oliver & Shanghavi, Amar, 2016. "More than an Urban Legend: The long-term socioeconomic effects of unplanned fertility shocks," CAGE Online Working Paper Series 284, Competitive Advantage in the Global Economy (CAGE).
    5. Eduardo Cavallo & Ilan Noy, 2009. "The Economics of Natural Disasters: A Survey," Research Department Publications 4649, Inter-American Development Bank, Research Department.
    6. Ariel R. Belasen & Solomon W. Polachek, 2013. "Natural disasters and migration," Chapters, in: Amelie F. Constant & Klaus F. Zimmermann (ed.), International Handbook on the Economics of Migration, chapter 17, pages 309-330, Edward Elgar Publishing.
    7. Mu, Jianhong & Chen, Yong, 2014. "Impacts of Natural Hazards on County-level Per Capita Income in the United States," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170202, Agricultural and Applied Economics Association.
    8. Yashobanta Parida & Swati Saini & Joyita Roy Chowdhury, 2021. "Economic growth in the aftermath of floods in Indian states," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 535-561, January.
    9. Paul A. Raschky & Liang Choon Wang, 2017. "Reproductive behaviour at the end of the world: the effect of the Cuban Missile Crisis on U.S. fertility," Applied Economics, Taylor & Francis Journals, vol. 49(56), pages 5722-5727, December.
    10. Giray Gozgor & Mehmet Huseyin Bilgin & Peter Rangazas, 2021. "Economic Uncertainty and Fertility," CESifo Working Paper Series 9025, CESifo.
    11. Alfredo Burlando, 2014. "Power Outages, Power Externalities, and Baby Booms," Demography, Springer;Population Association of America (PAA), vol. 51(4), pages 1477-1500, August.
    12. Berlemann, Michael & Wenzel, Daniela, 2018. "Hurricanes, economic growth and transmission channels," World Development, Elsevier, vol. 105(C), pages 231-247.
    13. Ryan Brown, 2020. "The Intergenerational Impact of Terror: Did the 9/11 Tragedy Impact the Initial Human Capital of the Next Generation?," Demography, Springer;Population Association of America (PAA), vol. 57(4), pages 1459-1481, August.
    14. Ryan Brown, 2014. "The Intergenerational Impact of Terror: Does the 9/11 Tragedy Reverberate into the Outcomes of the Next Generation?," HiCN Working Papers 165, Households in Conflict Network.
    15. Thiemo Fetzer & Oliver Pardo & Amar Shanghavi, 2013. "An Urban Legend?! Power Rationing, Fertility and its Effects on Mothers," CEP Discussion Papers dp1247, Centre for Economic Performance, LSE.
    16. Peña, Pablo A., 2020. "Relative age and investment in human capital," Economics of Education Review, Elsevier, vol. 78(C).
    17. Briones, Kristine Joy & Del Mundo, Michael Dominic, 2021. "Report on the number of births during the COVID-19 pandemic in the Philippines, January 2020 to May 2021," MPRA Paper 111915, University Library of Munich, Germany.
    18. Alam, Shamma Adeeb & Pörtner, Claus C., 2018. "Income shocks, contraceptive use, and timing of fertility," Journal of Development Economics, Elsevier, vol. 131(C), pages 96-103.
    19. Sellers, Samuel & Gray, Clark, 2019. "Climate shocks constrain human fertility in Indonesia," World Development, Elsevier, vol. 117(C), pages 357-369.

  28. Yingyao Hu & Matthew Shum, 2007. "Estimating First-Price Auctions with an Unknown Number of Bidders: A Misclassification Approach," Economics Working Paper Archive 541, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Hanming Fang & Xun Tang, 2013. "Inference of Bidders' Risk Attitudes in Ascending Auctions with Endogenous Entry," NBER Working Papers 19435, National Bureau of Economic Research, Inc.
    2. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    3. Hakan Yilmazkuday, 2017. "Geographical dispersion of consumer search behaviour," Applied Economics, Taylor & Francis Journals, vol. 49(57), pages 5740-5752, December.
    4. Hanming Fang & Xun Tang, 2013. "Inference of Bidders’ Risk Attitudes in Ascending Auctions with Endogenous Entry," PIER Working Paper Archive 13-056, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    5. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic decisions under subjective expectations: a structural analysis," CeMMAP working papers CWP11/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Nianqing Liu & Yao Luo, 2017. "A Nonparametric Test For Comparing Valuation Distributions In First‐Price Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(3), pages 857-888, August.
    7. Laurent Lamy, 2008. "The econometrics of auctions with asymmetric anonymous bidders," Working Papers halshs-00586039, HAL.
    8. Joachim Freyberger & Bradley J. Larsen, 2022. "Identification in ascending auctions, with an application to digital rights management," Quantitative Economics, Econometric Society, vol. 13(2), pages 505-543, May.
    9. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    10. Chen, Jong-Rong & Chen, Kong-Pin & Chou, Chien-Fu & Huang, Ching-I, 2006. "A dynamic model of auctions with buy-it-now: theory and evidence," MPRA Paper 38371, University Library of Munich, Germany, revised 24 Nov 2011.
    11. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    12. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    13. Simon Stevenson & James Young, 2015. "The Role of Undisclosed Reserves in English Open Outcry Auctions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 375-402, June.
    14. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    15. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    16. Ruli Xiao, 2015. "Identification and Estimation of Incomplete Information Games with Multiple Equilibria," CAEPR Working Papers 2015-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    17. Philippe Jehiel & Laurent Lamy, 2011. "Absolute auctions and secret reserve prices: Why are they used?," Levine's Working Paper Archive 786969000000000316, David K. Levine.
    18. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.
    19. Matthijs R. Wildenbeest, 2011. "An empirical model of search with vertically differentiated products," RAND Journal of Economics, RAND Corporation, vol. 42(4), pages 729-757, December.
    20. Emmanuel Guerre & Yao Luo, 2019. "Nonparametric Identification of First-Price Auction with Unobserved Competition: A Density Discontinuity Framework," Papers 1908.05476, arXiv.org, revised Jan 2022.
    21. Kong, Yunmi, 2022. "Identification of English auctions when losing entrants are not observed," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    22. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    23. Shneyerov, Artyom & Wong, Adam Chi Leung, 2011. "Identification in first-price and Dutch auctions when the number of potential bidders is unobservable," Games and Economic Behavior, Elsevier, vol. 72(2), pages 574-582, June.
    24. Enache, Andreea & Florens, Jean-Pierre & Sbai, Erwann, 2023. "A functional estimation approach to the first-price auction models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1564-1588.
    25. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    26. An, Yonghong & Hu, Yingyao & Liu, Pengfei, 2018. "Estimating heterogeneous contributing strategies in threshold public goods provision: A structural analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 124-146.
    27. 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.
    28. Zhang, Yinjunjie & Xu, Zhicheng Phil & Palma, Marco A., 2017. "Misclassification Errors of Subjective Well-being: A New Approach to Mapping Happiness," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258553, Agricultural and Applied Economics Association.
    29. Yonghong An & Michael R. Baye & Yingyao Hu & John Morgan & Matt Shum, 2010. "Horizontal Mergers of Online Firms: Structural Estimation and Competitive Effects," Economics Working Paper Archive 564, The Johns Hopkins University,Department of Economics.
    30. An, Yonghong, 2017. "Identification of first-price auctions with non-equilibrium beliefs: A measurement error approach," Journal of Econometrics, Elsevier, vol. 200(2), pages 326-343.
    31. Yonghong An & Michael R. Baye & Yingyao Hu & John Morgan & Matt Shum, 2017. "Identification and Estimation of Online Price Competition With an Unknown Number of Firms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 80-102, January.
    32. Zhen Li & Ching-Chung Kuo, 2013. "Design of discrete Dutch auctions with an uncertain number of bidders," Annals of Operations Research, Springer, vol. 211(1), pages 255-272, December.
    33. 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.
    34. 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.
    35. Sağlam, Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Working Paper Series 19224, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    36. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).

  29. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification and Estimation of Nonclassical Errors-in-Variables Models Without Additional Information," Boston College Working Papers in Economics 676, Boston College Department of Economics.

    Cited by:

    1. Chen, Xiaohong & Hu, Yingyao & Lewbel, Arthur, 2008. "A note on the closed-form identification of regression models with a mismeasured binary regressor," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1473-1479, September.

  30. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments," Boston College Working Papers in Economics 675, Boston College Department of Economics.

    Cited by:

    1. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    2. Arthur Lewbel, 2016. "Identification and Estimation Using Heteroscedasticity Without Instruments: The Binary Endogenous Regressor Case," Boston College Working Papers in Economics 927, Boston College Department of Economics.
    3. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    4. 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.
    5. Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
    6. Yingyao Hu & Arthur Lewbel, 2008. "Identifying the returns to lying when the truth is unobserved," CeMMAP working papers CWP06/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. 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.
    8. 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.
    9. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.
    10. Ben-Moshe, Dan & D’Haultfœuille, Xavier & Lewbel, Arthur, 2017. "Identification of additive and polynomial models of mismeasured regressors without instruments," Journal of Econometrics, Elsevier, vol. 200(2), pages 207-222.
    11. Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2015. "Generalised partially linear regression with misclassified data and an application to labour market transitions," ZEW Discussion Papers 15-043, ZEW - Leibniz Centre for European Economic Research.
    12. Dong, Yingying & Lewbel, Arthur, 2011. "Nonparametric identification of a binary random factor in cross section data," Journal of Econometrics, Elsevier, vol. 163(2), pages 163-171, August.
    13. Yingyao Hu & Arthur Lewbel, 2012. "Returns to Lying? Identifying the Effects of Misreporting When the Truth Is Unobserved," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 7(2), pages 163-192, June.
    14. 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.
    15. 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.
    16. Liu, Yibin & Wu, Wenbin, 2017. "Closed-form estimation of a regression model with a mismeasured binary regressor and heteroskedasticity," Statistics & Probability Letters, Elsevier, vol. 125(C), pages 202-206.
    17. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.

  31. 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.

    Cited by:

    1. Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
    2. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    3. Yingyao Hu & Ji-Liang Shiu, 2011. "Nonparametric identification using instrumental variables: sufficient conditions for completeness," CeMMAP working papers CWP25/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments," Boston College Working Papers in Economics 675, Boston College Department of Economics.
    5. Xavier d'Haultfoeuille, 2006. "On the Completeness Condition in Nonparametric Instrumental Problems," Working Papers 2006-32, Center for Research in Economics and Statistics.
    6. 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.
    7. d'Haultfoeuille, Xavier, 2010. "A new instrumental method for dealing with endogenous selection," Journal of Econometrics, Elsevier, vol. 154(1), pages 1-15, January.

  32. Yingyao Hu & Susanne M. Schennach, 2006. "Identification and estimation of nonclassical nonlinear errors-in-variables models with continuous distributions using instruments," CeMMAP working papers CWP17/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Susanne Schennach & James Heckman & Flavio Cunha, 2007. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," 2007 Meeting Papers 973, Society for Economic Dynamics.
    2. Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR).
    3. Gagliardini, Patrick & Scaillet, Olivier, 2012. "Tikhonov regularization for nonparametric instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 167(1), pages 61-75.
    4. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    5. Hoderlein, Stefan & Winter, Joachim, 2009. "Structural Measurement Errors in Nonseparable Models," Discussion Papers in Economics 9192, University of Munich, Department of Economics.
    6. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
    7. Breunig, Christoph & Mammen, Enno & Simoni, Anna, 2018. "Nonparametric estimation in case of endogenous selection," Journal of Econometrics, Elsevier, vol. 202(2), pages 268-285.
    8. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments," Boston College Working Papers in Economics 675, Boston College Department of Economics.
    9. Xavier d'Haultfoeuille, 2006. "On the Completeness Condition in Nonparametric Instrumental Problems," Working Papers 2006-32, Center for Research in Economics and Statistics.
    10. 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.
    11. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    12. Yingyao Hu & Arthur Lewbel & Susanne M. Schennach, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," CeMMAP working papers CWP14/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    14. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    15. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification and Estimation of Nonclassical Errors-in-Variables Models Without Additional Information," Boston College Working Papers in Economics 676, Boston College Department of Economics.
    16. Sriya Iyer & Chander Velu & Melvyn Weeks, 2014. "Divine Competition: Religious Organisations and Service Provision in India," Cambridge Working Papers in Economics 1409, Faculty of Economics, University of Cambridge.
    17. El-Attar, Mayssun, 2009. "Could Education Promote the Israeli-Palestinian Peace Process?," IZA Discussion Papers 4447, Institute of Labor Economics (IZA).

  33. Yingyao Hu & Geert Ridder, 2005. "On Deconvolution as a First Stage Nonparametric Estimator," IEPR Working Papers 05.29, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    2. Yonghong An & Yingyao Hu, 2009. "Well-posedness of measurement error models for self-reported data," CeMMAP working papers CWP35/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Yingyao Hu & Geert Ridder, 2005. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," IEPR Working Papers 05.39, Institute of Economic Policy Research (IEPR).
    4. Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
    5. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    6. Susanne M. Schennach, 2013. "Convolution without independence," CeMMAP working papers CWP46/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. 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.
    8. Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.
    9. Irene Botosaru, 2017. "Identifying Distributions in a Panel Model with Heteroskedasticity: An Application to Earnings Volatility," Discussion Papers dp17-11, Department of Economics, Simon Fraser University.
    10. Kato, Kengo & Sasaki, Yuya, 2018. "Uniform confidence bands in deconvolution with unknown error distribution," Journal of Econometrics, Elsevier, vol. 207(1), pages 129-161.
    11. Karen X. Yan & Qi Li, 2018. "Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model," JRFM, MDPI, vol. 11(3), pages 1-10, August.

  34. Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.

    Cited by:

    1. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
    2. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments," Boston College Working Papers in Economics 675, Boston College Department of Economics.
    3. Paul J. Devereux & Gautam Tripathi, 2008. "Optimally combining censored and uncensored datasets," Working Papers 200820, School of Economics, University College Dublin.
    4. 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.
    5. Yingyao Hu & Arthur Lewbel & Susanne M. Schennach, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," CeMMAP working papers CWP14/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Shiu, Ji-Liang, 2016. "Identification and estimation of endogenous selection models in the presence of misclassification errors," Economic Modelling, Elsevier, vol. 52(PB), pages 507-518.
    7. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification and Estimation of Nonclassical Errors-in-Variables Models Without Additional Information," Boston College Working Papers in Economics 676, Boston College Department of Economics.
    8. Natalia, Khorunzhina & Wayne Roy, Gayle, 2011. "Heterogenous intertemporal elasticity of substitution and relative risk aversion: estimation of optimal consumption choice with habit formation and measurement errors," MPRA Paper 34329, University Library of Munich, Germany.
    9. Aprajit Mahajan, 2009. "Estimating Price Elasticities with Non-Linear Errors in Variables," Discussion Papers 08-045, Stanford Institute for Economic Policy Research.

Articles

  1. An, Yonghong & Hu, Yingyao & Xiao, Ruli, 2021. "Dynamic decisions under subjective expectations: A structural analysis," Journal of Econometrics, Elsevier, vol. 222(1), pages 645-675.
    See citations under working paper version above.
  2. Yingyao Hu & Ruli Xiao, 2021. "Global estimation of finite mixture and misclassification models with an application to multiple equilibria," Econometric Reviews, Taylor & Francis Journals, vol. 40(5), pages 455-469, April.
    See citations under working paper version above.
  3. Hu, Yingyao & Huang, Guofang & Sasaki, Yuya, 2020. "Estimating production functions with robustness against errors in the proxy variables," Journal of Econometrics, Elsevier, vol. 215(2), pages 375-398.
    See citations under working paper version above.
  4. Yingyao Hu & Robert Moffitt & Yuya Sasaki, 2019. "Semiparametric estimation of the canonical permanent‐transitory model of earnings dynamics," Quantitative Economics, Econometric Society, vol. 10(4), pages 1495-1536, November.

    Cited by:

    1. Manuel Arellano & Stéphane Bonhomme, 2019. "Recovering Latent Variables by Matching," Working Papers wp2019_1914, CEMFI.
    2. Hao Dong & Yuya Sasaki, 2022. "Estimation of Average Derivatives of Latent Regressors: With an Application to Inference on Buffer-Stock Saving," Papers 2209.05914, arXiv.org.
    3. Fernández-Val, Iván & Gao, Wayne Yuan & Liao, Yuan & Vella, Francis, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," IZA Discussion Papers 15236, Institute of Labor Economics (IZA).
    4. Joseph G. Altonji & Disa M. Hynsjö & Ivan Vidangos, 2022. "Individual Earnings and Family Income: Dynamics and Distribution," NBER Working Papers 30095, National Bureau of Economic Research, Inc.
    5. Silvia Sarpietro & Yuya Sasaki & Yulong Wang, 2022. "Non-Existent Moments of Earnings Growth," Papers 2203.08014, arXiv.org, revised Feb 2024.
    6. Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
    7. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    8. Costanza Naguib, 2022. "Financial Turmoil and Earnings Mobility," Diskussionsschriften dp2208, Universitaet Bern, Departement Volkswirtschaft.
    9. Costanza Naguib, 2022. "Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(7), pages 1379-1402, November.
    10. Kartik B. Athreya & Grey Gordon & John Bailey Jones & Urvi Neelakantan, 2021. "Incarceration, Earnings, and Race," Working Paper 21-11`, Federal Reserve Bank of Richmond.

  5. Feng, Shuaizhang & Hu, Yingyao & Sun, Jiandong, 2018. "On the robustness of alternative unemployment measures," Economics Letters, Elsevier, vol. 166(C), pages 1-5.

    Cited by:

    1. Shuaizhang Feng & Jiandong Sun, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," Working Papers 2020-029, Human Capital and Economic Opportunity Working Group.
    2. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-errors-adjusted Sahm Rule for Early Identification of Economic Recession," GLO Discussion Paper Series 523, Global Labor Organization (GLO).
    3. John Komlos, 2019. "The Real U.S. Unemployment Rate Is Twice the Official Rate, and the Phillips Curve," CESifo Working Paper Series 7859, CESifo.
    4. Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
    5. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," IZA Discussion Papers 13168, Institute of Labor Economics (IZA).
    6. John Komlos, 2019. "Estimating Labor Market Slack, U.S. 1994-2019," CESifo Working Paper Series 7941, CESifo.
    7. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    8. Joohun Han & Chanjin Chung, 2021. "Impact of Aging and Underemployment on Income Disparity between Agricultural and Non-Agricultural Households," Sustainability, MDPI, vol. 13(21), pages 1-15, October.

  6. Hu, Yingyao & Sasaki, Yuya, 2018. "Closed-Form Identification Of Dynamic Discrete Choice Models With Proxies For Unobserved State Variables," Econometric Theory, Cambridge University Press, vol. 34(1), pages 166-185, February.

    Cited by:

    1. Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023. "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, vol. 236(1).
    2. Schneider, Ulrich, 2019. "Identification of Time Preferences in Dynamic Discrete Choice Models: Exploiting Choice Restrictions," MPRA Paper 102137, University Library of Munich, Germany, revised 29 Jul 2020.

  7. Hu, Yingyao & Shiu, Ji-Liang, 2018. "Nonparametric Identification Using Instrumental Variables: Sufficient Conditions For Completeness," Econometric Theory, Cambridge University Press, vol. 34(3), pages 659-693, June.
    See citations under working paper version above.
  8. Feng, Shuaizhang & Hu, Yingyao & Moffitt, Robert, 2017. "Long run trends in unemployment and labor force participation in urban China," Journal of Comparative Economics, Elsevier, vol. 45(2), pages 304-324.

    Cited by:

    1. Gustafsson, Björn & Wan, Haiyuan, 2020. "Wage growth and inequality in urban China: 1988–2013," China Economic Review, Elsevier, vol. 62(C).
    2. Ong, David & Yang, Yu & Zhang, Junsen, 2020. "Hard to get: The scarcity of women and the competition for high-income men in urban China," MPRA Paper 98166, University Library of Munich, Germany, revised 2020.
    3. Van, Huong Vu & Van Dao, Le & Hoang, Lich Khac & Van Hien, Ngo, 2023. "The efficiency of government finanical expenditures before and during the COVID-19 pandemic: A cross-country investigation," Finance Research Letters, Elsevier, vol. 54(C).
    4. Gustafsson, Björn Anders & Sai, Ding, 2019. "Growing into Relative Income Poverty: Urban China 1988 to 2013," IZA Discussion Papers 12422, Institute of Labor Economics (IZA).
    5. Deng, Yue & Zhou, Yuqian & Hu, Dezhuang, 2023. "Grandparental childcare and female labor market behaviors: Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    6. Ernest Dautovic & Harald Hau & Yi Huang, 2017. "The Consumption Response to Minimum Wages: Evidence from Chinese Households," Swiss Finance Institute Research Paper Series 17-01, Swiss Finance Institute.
    7. Jeannine Bailliu & Xinfen Han & Mark Kruger & Yu-Hsien Liu & Sri Thanabalasingam, 2019. "Can media and text analytics provide insights into labour market conditions in China?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    8. Ao, Chon-Kit & Dong, Yilin & Kuo, Pei-Fen, 2021. "Industrialization, indoor and ambient air quality, and elderly mental health," China Economic Review, Elsevier, vol. 69(C).
    9. Yucheng Yang & Zhong Zheng & Weinan E, 2020. "Interpretable Neural Networks for Panel Data Analysis in Economics," Papers 2010.05311, arXiv.org, revised Nov 2020.
    10. Clement Imbert & Marlon Seror & Yifan Zhang & Yanos Zylberberg, 2018. "Migrants and Firms: Evidence from China," CESifo Working Paper Series 7440, CESifo.
    11. Xinxin Ma, 2022. "Grandchildren Care and Labor Supply of Middle-Aged Grandmothers: Evidence from China," Journal of Family and Economic Issues, Springer, vol. 43(3), pages 581-598, September.
    12. Björn Gustafsson & Ding Sai, 2020. "Growing into Relative Income Poverty: Urban China, 1988–2013," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 73-94, January.
    13. Feng, Shuaizhang & Guo, Naijia, 2021. "Labor market dynamics in urban China and the role of the state sector," Journal of Comparative Economics, Elsevier, vol. 49(4), pages 918-932.
    14. Belabed, Christian Alexander & Theobald, Thomas, 2020. "Why the Chinese recovery will slow: Some lessons from sectoral data," BOFIT Policy Briefs 8/2020, Bank of Finland Institute for Emerging Economies (BOFIT).
    15. Qiao Wen, 2022. "Trends in College–High School Wage Differentials in China: The Role of Cohort-Specific Labor Supply Shift," Sustainability, MDPI, vol. 14(24), pages 1-23, December.
    16. Deng, Quheng & Ma, Xinxin, 2018. "The Dynamics of Informal Employment in Urban China," CEI Working Paper Series 2018-3, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    17. Wu, Xiaoyu, 2022. "Fertility and maternal labor supply: Evidence from the new two-child policies in urban China," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 584-598.
    18. Shuaizhang Feng & Xiaoyu Xia, 2018. "Endogenous skill-biased technology adoption: Evidence from China's college enrollment expansion program," Working Papers 2018-099, Human Capital and Economic Opportunity Working Group.
    19. Cao, Jing & Ho, Mun S. & Hu, Wenhao & Jorgenson, Dale, 2020. "Effective labor supply and growth outlook in China," China Economic Review, Elsevier, vol. 61(C).
    20. Zhu, Chen & Qiu, Zhiyi & Liu, Fengjun, 2021. "Does innovation stimulate employment? Evidence from China," Economic Modelling, Elsevier, vol. 94(C), pages 1007-1017.
    21. Rafael Dix-Carneiro & Sharon Traiberman, 2022. "Globalization, Trade Imbalances and Inequality," NBER Working Papers 30188, National Bureau of Economic Research, Inc.
    22. Feng, Shuaizhang & Xia, Xiaoyu, 2022. "Heterogeneous firm responses to increases in high-skilled workers: Evidence from China's college enrollment expansion," China Economic Review, Elsevier, vol. 73(C).
    23. Ge, Peng & Sun, Wenkai & Zhao, Zhong, 2021. "Employment Structures in China from 1990 to 2015: Demographic and Technological Change," IZA Discussion Papers 14141, Institute of Labor Economics (IZA).
    24. Feng, Shuaizhang & Guo, Naijia, 2019. "Labor Market Dynamics in Urban China and the Role of the State Sector," IZA Discussion Papers 12170, Institute of Labor Economics (IZA).
    25. Shuaizhang Feng & Gaojie Tang, 2019. "Accounting For Urban China'S Rising Income Inequality: The Roles Of Labor Market, Human Capital, And Marriage Market Factors," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 997-1015, April.
    26. Tian, Xinping & Gong, Jinquan & Zhang, Yueqiu, 2018. "The effects of job displacement on health: Evidence from the economic restructuring in urban China," China Economic Review, Elsevier, vol. 52(C), pages 136-150.
    27. Min, Feng & Wen, Fenghua & Wang, Xiong, 2022. "Measuring the effects of monetary and fiscal policy shocks on domestic investment in China," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 395-412.
    28. Li, Teng & Barwick, Panle Jia & Deng, Yongheng & Huang, Xinfei & Li, Shanjun, 2023. "The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China," Journal of Urban Economics, Elsevier, vol. 135(C).
    29. Bo, Shiyu & Chen, Joy & Song, Yan & Zhou, Sen, 2020. "Media attention and choice of major: Evidence from anti-doctor violence in China," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 1-19.
    30. Sun, Zhen & Cheng, Lei, 2021. "Air pollution and procyclical mortality: Evidence from China," China Economic Review, Elsevier, vol. 68(C).
    31. Shuaizhang Feng & Naijia Guo, 2019. "Labor Market Dynamics in Urban China and the Role of the State Sector," Working Papers 2019-008, Human Capital and Economic Opportunity Working Group.
    32. Yue Yin & Ye Jiang, 2023. "Fertility Effects of Labor Market Conditions at Graduation," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 120-152, July.
    33. Huang, Naqun & Ning, Guangjie & Rong, Zhao, 2022. "Destination homeownership and labor force participation: Evidence from rural-to-urban migrants in China," Journal of Housing Economics, Elsevier, vol. 55(C).
    34. Liu, Yun & Zhang, Yifei & Yang, Yuxin & Chen, Xin, 2023. "Dark side of environmental regulation: Wage inequality cost," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 524-544.
    35. Da Zhao & Jingyuan Guo & Hong Zou & Ze Song, 2022. "From Price to Gain: The Evolution of Household Income Volatility and Consumption Insurance in Urban China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(6), pages 113-136, November.
    36. Zhao, Da & Chen, Yifan & Shen, Jim.H., 2020. "Mortgage payments and household consumption in urban China," Economic Modelling, Elsevier, vol. 93(C), pages 100-111.

  9. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.

    Cited by:

    1. Yingyao Hu & Ji‐Liang Shiu, 2018. "Identification and estimation of semi‐parametric censored dynamic panel data models of short time periods," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 55-85, February.
    2. Hu, Yingyao & Schennach, Susanne & Shiu, Ji-Liang, 2022. "Identification of nonparametric monotonic regression models with continuous nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 226(2), pages 269-294.
    3. 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.
    4. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    5. Nagasawa, Kenichi, 2020. "Identification and Estimation of Group-Level Partial Effects," The Warwick Economics Research Paper Series (TWERPS) 1243, University of Warwick, Department of Economics.
    6. Botosaru, Irene, 2020. "Nonparametric analysis of a duration model with stochastic unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 217(1), pages 112-139.
    7. 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.

  10. 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.

    Cited by:

    1. Eduardo Souza-Rodrigues & Adrian L. Torchiana & Ted Rosenbaum & Paul T. Scott, 2020. "Improving Estimates of Transitions from Satellite Data: A Hidden Markov Model Approach," Working Papers tecipa-672, University of Toronto, Department of Economics.
    2. Laura Liu, 2020. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers 2020-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
    4. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    5. Cheny, L.; & Clarke, P.M.; & Petrie, D.J.; & Staub, K.E.;, 2018. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Health, Econometrics and Data Group (HEDG) Working Papers 18/26, HEDG, c/o Department of Economics, University of York.
    6. Daisuke Kurisu & Taisuke Otsu, 2019. "On the uniform convergence of deconvolution estimators from repeated measurements," STICERD - Econometrics Paper Series 604, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    7. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    8. Hao Dong & Taisuke Otsu & Luke Taylor, 2022. "Nonparametric estimation of additive models with errors-in-variables," Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1164-1204, November.
    9. Yingyao Hu & Yang Liu & Jiaxiong Yao, 2022. "Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN)," Papers 2210.01300, arXiv.org.
    10. Kurisu, Daisuke & Otsu, Taisuke, 2022. "On the uniform convergence of deconvolution estimators from repeated measurements," LSE Research Online Documents on Economics 107533, London School of Economics and Political Science, LSE Library.
    11. Hahn, Jinyong & Ridder, Geert, 2017. "Instrumental variable estimation of nonlinear models with nonclassical measurement error using control variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 238-250.
    12. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    13. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    14. Brantly Callaway & Tong Li & Irina Murtazashvili, 2021. "Nonlinear Approaches to Intergenerational Income Mobility allowing for Measurement Error," Papers 2107.09235, arXiv.org, revised Dec 2021.
    15. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
    16. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    17. Erhao Xie, 2018. "Inference in Games Without Nash Equilibrium: An Application to Restaurants, Competition in Opening Hours," Staff Working Papers 18-60, Bank of Canada.
    18. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    19. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
    20. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).

  11. Hu Yingyao & Shum Matthew & Tan Wei & Xiao Ruli, 2017. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-16, January.
    See citations under working paper version above.
  12. Hu, Yingyao & Sasaki, Yuya, 2017. "Identification Of Paired Nonseparable Measurement Error Models," Econometric Theory, Cambridge University Press, vol. 33(4), pages 955-979, August.

    Cited by:

    1. Dongwoo Kim & Daniel Wilhelm, 2017. "Powerful t-Tests in the presence of nonclassical measurement error," CeMMAP working papers CWP57/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Emmanuel Guerre & Yao Luo, 2019. "Nonparametric Identification of First-Price Auction with Unobserved Competition: A Density Discontinuity Framework," Papers 1908.05476, arXiv.org, revised Jan 2022.
    3. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    4. Cheng Chou & Ruoyao Shi, 2021. "What time use surveys can (and cannot) tell us about labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 917-937, November.
    5. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. 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.
    7. Serafin J. Grundl & Yu Zhu, 2015. "Identification and Estimation of Risk Aversion in First Price Auctions With Unobserved Auction Heterogeneity," Finance and Economics Discussion Series 2015-89, Board of Governors of the Federal Reserve System (U.S.).

  13. Yonghong An & Michael R. Baye & Yingyao Hu & John Morgan & Matt Shum, 2017. "Identification and Estimation of Online Price Competition With an Unknown Number of Firms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 80-102, January.
    See citations under working paper version above.
  14. Hu, Yingyao & Shiu, Ji-Liang & Woutersen, Tiemen, 2016. "Identification in nonseparable models with measurement errors and endogeneity," Economics Letters, Elsevier, vol. 144(C), pages 33-36.

    Cited by:

    1. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    2. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.

  15. Yingyao Hu & Ji‐Liang Shiu & Tiemen Woutersen, 2015. "Identification and estimation of single‐index models with measurement error and endogeneity," Econometrics Journal, Royal Economic Society, vol. 18(3), pages 347-362, October.

    Cited by:

    1. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    2. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.
    9. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.

  16. Hu, Yingyao & Sasaki, Yuya, 2015. "Closed-form estimation of nonparametric models with non-classical measurement errors," Journal of Econometrics, Elsevier, vol. 185(2), pages 392-408.

    Cited by:

    1. Yonghong An & Wang Le & Ruli Xiao, 2015. "Your American Dream is Not Mine! A New Approach to Estimating Intergenerational Mobility Elasticities," CAEPR Working Papers 2015-016, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
    3. Firpo, Sergio & Galvao, Antonio F. & Song, Suyong, 2017. "Measurement errors in quantile regression models," Journal of Econometrics, Elsevier, vol. 198(1), pages 146-164.
    4. Hao Dong & Yuya Sasaki, 2022. "Estimation of Average Derivatives of Latent Regressors: With an Application to Inference on Buffer-Stock Saving," Papers 2209.05914, arXiv.org.
    5. Felt, Marie-Hélène, 2020. "On the identification of joint distributions using marginals and aggregates," Economics Letters, Elsevier, vol. 194(C).
    6. Hao Dong & Taisuke Otsu & Luke Taylor, 2022. "Nonparametric estimation of additive models with errors-in-variables," Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1164-1204, November.
    7. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    8. Adusumilli, Karun & Kurisu, Daisies & Otsu, Taisuke & Whang, Yoon-Jae, 2020. "Inference on distribution functions under measurement error," LSE Research Online Documents on Economics 102692, London School of Economics and Political Science, LSE Library.
    9. Li, Siran & Zheng, Xunjie, 2020. "A generalization of Lemma 1 in Kotlarski (1967)," Statistics & Probability Letters, Elsevier, vol. 165(C).
    10. Jiti Gao & Bin Peng & Zhao Ren & Xiaohui Zhang, 2015. "Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index," Monash Econometrics and Business Statistics Working Papers 21/15, Monash University, Department of Econometrics and Business Statistics.
    11. Adusumilli, Karun & Kurisu, Daisuke & Otsu, Taisuke & Whang, Yoon-Jae, 2020. "Inference on distribution functions under measurement error," Journal of Econometrics, Elsevier, vol. 215(1), pages 131-164.
    12. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    13. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    14. 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.
    15. 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.
    16. Rubo Zhao & Yixiang Tian & Ao Lei & Francis Boadu & Ze Ren, 2019. "The Effect of Local Government Debt on Regional Economic Growth in China: A Nonlinear Relationship Approach," Sustainability, MDPI, vol. 11(11), pages 1-22, May.

  17. S. M. Schennach & Yingyao Hu, 2013. "Nonparametric Identification and Semiparametric Estimation of Classical Measurement Error Models Without Side Information," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(501), pages 177-186, March.
    See citations under working paper version above.
  18. Hu, Yingyao & Kayaba, Yutaka & Shum, Matthew, 2013. "Nonparametric learning rules from bandit experiments: The eyes have it!," Games and Economic Behavior, Elsevier, vol. 81(C), pages 215-231.
    See citations under working paper version above.
  19. Shuaizhang Feng & Yingyao Hu, 2013. "Misclassification Errors and the Underestimation of the US Unemployment Rate," American Economic Review, American Economic Association, vol. 103(2), pages 1054-1070, April.
    See citations under working paper version above.
  20. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    See citations under working paper version above.
  21. Hu, Yingyao & McAdams, David & Shum, Matthew, 2013. "Identification of first-price auctions with non-separable unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 186-193.

    Cited by:

    1. Yusuke Matsuki, 2016. "A Distribution-Free Test of Monotonicity with an Application to Auctions," Working Papers e110, Tokyo Center for Economic Research.
    2. Giovanni Compiani & Philip Haile & Marcelo Sant’Anna, 2020. "Common Values, Unobserved Heterogeneity, and Endogenous Entry in US Offshore Oil Lease Auctions," Journal of Political Economy, University of Chicago Press, vol. 128(10), pages 3872-3912.
    3. Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
    4. Joachim Freyberger & Bradley J. Larsen, 2022. "Identification in ascending auctions, with an application to digital rights management," Quantitative Economics, Econometric Society, vol. 13(2), pages 505-543, May.
    5. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    6. Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Matthew Gentry & Tong Li, 2014. "Identification in Auctions With Selective Entry," Econometrica, Econometric Society, vol. 82(1), pages 315-344, January.
    8. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    9. 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.
    10. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    11. Ma, Jun & Marmer, Vadim & Shneyerov, Artyom, 2019. "Inference for first-price auctions with Guerre, Perrigne, and Vuong’s estimator," Journal of Econometrics, Elsevier, vol. 211(2), pages 507-538.
    12. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    13. Aradillas-López, Andrés & Gandhi, Amit & Quint, Daniel, 2016. "A simple test for moment inequality models with an application to English auctions," Journal of Econometrics, Elsevier, vol. 194(1), pages 96-115.
    14. Ruli Xiao, 2015. "Identification and Estimation of Incomplete Information Games with Multiple Equilibria," CAEPR Working Papers 2015-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    15. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.
    16. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    17. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    18. An, Yonghong & Hu, Yingyao & Liu, Pengfei, 2018. "Estimating heterogeneous contributing strategies in threshold public goods provision: A structural analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 124-146.
    19. 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.
    20. An, Yonghong, 2017. "Identification of first-price auctions with non-equilibrium beliefs: A measurement error approach," Journal of Econometrics, Elsevier, vol. 200(2), pages 326-343.
    21. Daniel Prudencio, 2023. "Productivity in Procurement Auctions of Pavement Contracts in Mexico," Journal of Productivity Analysis, Springer, vol. 60(1), pages 63-85, August.
    22. Gaurab Aryal & Hanna Charankevich & Seungwon Jeong & Dong-Hyuk Kim, 2021. "Procurements with Bidder Asymmetry in Cost and Risk-Aversion," Papers 2111.04626, arXiv.org, revised Jul 2022.
    23. Serafin J. Grundl & Yu Zhu, 2015. "Identification and Estimation of Risk Aversion in First Price Auctions With Unobserved Auction Heterogeneity," Finance and Economics Discussion Series 2015-89, Board of Governors of the Federal Reserve System (U.S.).
    24. 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.
    25. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
    26. Aryal, Gaurab & Grundl, Serafin & Kim, Dong-Hyuk & Zhu, Yu, 2018. "Empirical relevance of ambiguity in first-price auctions," Journal of Econometrics, Elsevier, vol. 204(2), pages 189-206.

  22. Hu, Yingyao & Shum, Matthew, 2012. "Nonparametric identification of dynamic models with unobserved state variables," Journal of Econometrics, Elsevier, vol. 171(1), pages 32-44.
    See citations under working paper version above.
  23. An, Yonghong & Hu, Yingyao, 2012. "Well-posedness of measurement error models for self-reported data," Journal of Econometrics, Elsevier, vol. 168(2), pages 259-269.
    See citations under working paper version above.
  24. Yingyao Hu & Arthur Lewbel, 2012. "Returns to Lying? Identifying the Effects of Misreporting When the Truth Is Unobserved," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 7(2), pages 163-192, June.
    See citations under working paper version above.
  25. Yingyao Hu & Geert Ridder, 2012. "Estimation of nonlinear models with mismeasured regressors using marginal information," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 347-385, April.
    See citations under working paper version above.
  26. Raymond Carroll & Xiaohong Chen & Yingyao Hu, 2010. "Identification and estimation of nonlinear models using two samples with nonclassical measurement errors," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 22(4), pages 379-399.

    Cited by:

    1. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    2. Michele De Nadai & Arthur Lewbel, 2012. "Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation," Boston College Working Papers in Economics 790, Boston College Department of Economics, revised 01 Jul 2013.
    3. Hu, Yingyao, 2021. "Identification of Causal Models with Unobservables: A Self-Report Approach," Economics Working Paper Archive 64330, The Johns Hopkins University,Department of Economics.
    4. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
    5. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Yingyao Hu & Ji-Liang Shiu, 2011. "Nonparametric identification using instrumental variables: sufficient conditions for completeness," CeMMAP working papers CWP25/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Louis Anthony (Tony) Cox, Jr., 2011. "An Exposure‐Response Threshold for Lung Diseases and Lung Cancer Caused by Crystalline Silica," Risk Analysis, John Wiley & Sons, vol. 31(10), pages 1543-1560, October.
    8. Susanne M. Schennach, 2013. "Regressions with Berkson errors in covariates - a nonparametric approach," CeMMAP working papers 22/13, Institute for Fiscal Studies.
    9. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    10. Yingyao Hu & Matthew Shum, 2008. "Nonparametric Identification of Dynamic Models with Unobserved State Variables," Economics Working Paper Archive 543, The Johns Hopkins University,Department of Economics.
    11. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.
    12. 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.
    13. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
    14. Diaz-Serrano, Luis & Nilsson, William, 2017. "The Reliability of Students' Earnings Expectations," IZA Discussion Papers 10700, Institute of Labor Economics (IZA).
    15. 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.
    16. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    17. 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.
    18. 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.
    19. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
    20. Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.

  27. Richard Evans & Yingyao Hu & Zhong Zhao, 2010. "The fertility effect of catastrophe: U.S. hurricane births," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 1-36, January.
    See citations under working paper version above.
  28. An, Yonghong & Hu, Yingyao & Shum, Matthew, 2010. "Estimating first-price auctions with an unknown number of bidders: A misclassification approach," Journal of Econometrics, Elsevier, vol. 157(2), pages 328-341, August.
    See citations under working paper version above.
  29. Yingyao Hu & Geert Ridder, 2010. "On Deconvolution as a First Stage Nonparametric Estimator," Econometric Reviews, Taylor & Francis Journals, vol. 29(4), pages 365-396.
    See citations under working paper version above.
  30. 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.

    Cited by:

    1. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.
    2. Zhang, Fan & Polyakov, Maksym & Fogarty, James & Pannell, David, 2016. "The Capitalized Value of Rainwater Tanks in the Property Market of Perth, Australia," Working Papers 246968, University of Western Australia, School of Agricultural and Resource Economics.

  31. 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.

    Cited by:

    1. Yonghong An & Wang Le & Ruli Xiao, 2015. "Your American Dream is Not Mine! A New Approach to Estimating Intergenerational Mobility Elasticities," CAEPR Working Papers 2015-016, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    2. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    3. Hu, Yingyao & McAdams, David & Shum, Matthew, 2013. "Identification of first-price auctions with non-separable unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 186-193.
    4. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    5. vom Lehn, Christian & Ellsworth, Cache & Kroff, Zachary, 2020. "Reconciling Occupational Mobility in the Current Population Survey," IZA Discussion Papers 13509, Institute of Labor Economics (IZA).
    6. Kirill S. Evdokimov & Andrei Zeleneev, 2024. "Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables," Papers 2403.11309, arXiv.org.
    7. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    8. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
    9. Li Gan & Manuel A. Hernandez & Yanyan Liu, 2018. "Group Lending With Heterogeneous Types," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 895-913, April.
    10. Shuaizhang Feng & Jiandong Sun, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," Working Papers 2020-029, Human Capital and Economic Opportunity Working Group.
    11. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    12. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    13. Hu Yingyao & Shum Matthew & Tan Wei & Xiao Ruli, 2017. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-16, January.
    14. Cheny, L.; & Clarke, P.M.; & Petrie, D.J.; & Staub, K.E.;, 2018. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Health, Econometrics and Data Group (HEDG) Working Papers 18/26, HEDG, c/o Department of Economics, University of York.
    15. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic decisions under subjective expectations: a structural analysis," CeMMAP working papers CWP11/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Rasmus Lentz & Jean Marc Robin & Suphanit Piyapromdee, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," 2018 Meeting Papers 469, Society for Economic Dynamics.
    17. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    18. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    19. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers 38/12, Institute for Fiscal Studies.
    20. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
    21. Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
    22. Benjamin Williams, 2018. "Identification of a Nonseparable Model under Endogeneity using Binary Proxies for Unobserved Heterogeneity," Working Papers 2018-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
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    29. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers CWP18/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    81. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
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    84. 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.
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    87. Zhang, Yinjunjie & Xu, Zhicheng Phil & Palma, Marco A., 2017. "Misclassification Errors of Subjective Well-being: A New Approach to Mapping Happiness," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258553, Agricultural and Applied Economics Association.
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    90. Yonghong An & Michael R. Baye & Yingyao Hu & John Morgan & Matt Shum, 2010. "Horizontal Mergers of Online Firms: Structural Estimation and Competitive Effects," Economics Working Paper Archive 564, The Johns Hopkins University,Department of Economics.
    91. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
    92. Feng, Shuaizhang & Hu, Yingyao & Sun, Jiandong, 2018. "On the robustness of alternative unemployment measures," Economics Letters, Elsevier, vol. 166(C), pages 1-5.
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    94. Brown, Sarah & Harris, Mark N. & Srivastava, Preety & Taylor, Karl, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ-12," IZA Discussion Papers 11771, Institute of Labor Economics (IZA).
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    98. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Apr 2023.
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  32. Chen, Xiaohong & Hu, Yingyao & Lewbel, Arthur, 2008. "A note on the closed-form identification of regression models with a mismeasured binary regressor," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1473-1479, September.

    Cited by:

    1. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    2. Arthur Lewbel, 2016. "Identification and Estimation Using Heteroscedasticity Without Instruments: The Binary Endogenous Regressor Case," Boston College Working Papers in Economics 927, Boston College Department of Economics.
    3. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    4. 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.
    5. 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.
    6. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.
    8. 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.
    9. Fu, Lianyan & Gao, Wei & Shi, Ning-Zhong, 2011. "Estimation of relative average treatment effects with misclassification," Economics Letters, Elsevier, vol. 111(1), pages 95-98, April.
    10. 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.
    11. 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.
    12. Liu, Yibin & Wu, Wenbin, 2017. "Closed-form estimation of a regression model with a mismeasured binary regressor and heteroskedasticity," Statistics & Probability Letters, Elsevier, vol. 125(C), pages 202-206.
    13. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
    14. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
    15. 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.

  33. Chen, Xiaohong & Hu, Yingyao & Lewbel, Arthur, 2008. "Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments," Economics Letters, Elsevier, vol. 100(3), pages 381-384, September.
    See citations under working paper version above.
  34. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.

    Cited by:

    1. Battistin, Erich & Lamarche, Carlos & Rettore, Enrico, 2020. "Quantiles of the Gain Distribution of an Early Childhood Intervention," IZA Discussion Papers 13101, Institute of Labor Economics (IZA).
    2. Papageorge, Nicholas W. & Gershenson, Seth & Kang, Kyungmin, 2016. "Teacher Expectations Matter," IZA Discussion Papers 10165, Institute of Labor Economics (IZA).
    3. Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016. "What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
    4. Susanne Schennach & James Heckman & Flavio Cunha, 2007. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," 2007 Meeting Papers 973, Society for Economic Dynamics.
    5. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    6. Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012. "Regression towards the mode," Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
    7. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    8. Babii, Andrii & Florens, Jean-Pierre, 2020. "Is completeness necessary? Estimation in nonidentified linear models," TSE Working Papers 20-1091, Toulouse School of Economics (TSE).
    9. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," IZA Discussion Papers 13222, Institute of Labor Economics (IZA).
    10. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    11. Qing Li, 2014. "Identifiability of mean-reverting measurement error with instrumental variable," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(2), pages 118-129, May.
    12. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio Codina, 2017. "Estimating the production function for human capital: results from a randomized controlled trial in Colombia," IFS Working Papers W17/06, Institute for Fiscal Studies.
    13. Laurent Davezies & Thomas Le Barbanchon, 2014. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," Working Papers 2014-27, Center for Research in Economics and Statistics.
    14. Battistin, Erich & Lamarche, Carlos & Rettore, Enrico, 2020. "Quantiles of the Gain Distribution of an Early Child Intervention," CEPR Discussion Papers 14721, C.E.P.R. Discussion Papers.
    15. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    16. Chen Zhen & Justin L. Taylor & Mary K. Muth & Ephraim Leibtag, 2009. "Understanding Differences in Self-Reported Expenditures between Household Scanner Data and Diary Survey Data: A Comparison of Homescan and Consumer Expenditure Survey," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(3), pages 470-492, September.
    17. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    18. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    19. Ramalho Esmeralda A., 2010. "Covariate Measurement Error: Bias Reduction under Response-Based Sampling," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-34, September.
    20. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    21. Manuel Arellano & Richard Blundell & Stéphane Bonhomme & Jack Light, 2024. "Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence," Post-Print hal-04536563, HAL.
    22. Rasmus Lentz & Suphanit Piyapromdee & Jean-Marc Robin, 2022. "The Anatomy of Sorting - Evidence from Danish Data," SciencePo Working papers Main hal-03869383, HAL.
    23. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Feb 2024.
    24. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2013. "Nonparametric estimation of finite mixtures," Sciences Po Economics Discussion Papers 2013-09, Sciences Po Departement of Economics.
    25. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    26. 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.
    27. Rasmus Lentz & Jean Marc Robin & Suphanit Piyapromdee, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," 2018 Meeting Papers 469, Society for Economic Dynamics.
    28. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    29. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
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    Cited by:

    1. Timothy J. Halliday, 2010. "Mismeasured Household Size and its Implications for the Identification of Economies of Scale," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 246-262, April.
    2. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    3. Jan F. Kiviet, 2013. "Identification and inference in a simultaneous equation under alternative information sets and sampling schemes," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 24-59, February.
    4. 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.
    5. Seoyun Hong & Chang Sik Kim & Hyunchul Kim, 2022. "Measuring the Effects of Bid-Rigging on Prices with Binary Misclassification," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(3), pages 319-339, November.
    6. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice," Transport Policy, Elsevier, vol. 18(2), pages 326-335, March.

  36. Barnett, Barry J. & Black, J. Roy & Hu, Yingyao & Skees, Jerry R., 2005. "Is Area Yield Insurance Competitive with Farm Yield Insurance?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(2), pages 1-17, August.

    Cited by:

    1. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    2. Deng, Xiaohui & Barnett, Barry J. & Hoogenboom, Gerrit & Yu, Yingzhuo & Garcia y Garcia, Axel, 2008. "Alternative Crop Insurance Indexes," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-15, April.
    3. Barnett, Barry J., 2004. "Agricultural Index Insurance Products: Strengths And Limitations," Agricultural Outlook Forum 2004 32971, United States Department of Agriculture, Agricultural Outlook Forum.
    4. Tack, Jesse B. & Ubilava, David, 2013. "El Ni˜no Southern Oscillation Impacts on Crop Insurance," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151429, Agricultural and Applied Economics Association.
    5. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
    6. Lauriane Yehouenou & Barry J Barnett & Ardian Harri & Keith H Coble, 2018. "STAX Appeal?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 563-584, December.
    7. Delbridge, Timothy A. & King, Robert P., 2016. "How Important is the T-Yield? An Analysis of Reforms to Organic Crop Insurance," Staff Papers 244732, University of Minnesota, Department of Applied Economics.
    8. Bulut, Harun & Collins, Keith & Zacharias, Thomas P. & Schnapp, Frank, 2011. "Why Do Producers Choose Individual or Area Insurance Protection?," NCIS Special Reports 160545, National Crop Insurance Services (NCIS).
    9. Geoffroy Enjolras & Robert Kast & Patrick Sentis, 2009. "Diversification in Area-Yield Crop Insurance : The Multi Linear Additive Model," Working Papers 09-15, LAMETA, Universtiy of Montpellier, revised Nov 2009.
    10. Gerlt, Scott & Westhoff, Patrick, 2013. "Analysis of the Supplemental Coverage Option," 2013 AAEA: Crop Insurance and the Farm Bill Symposium 156704, Agricultural and Applied Economics Association.
    11. Carriquiry, Miguel A. & Babcock, Bruce A. & Hart, Chad E., 2008. "Using a Farmer's Beta for Improved Estimation of Expected Yields," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(1), pages 1-17, April.
    12. Željko Kokot & Todor Marković & Sanjin Ivanović & Maja Meseldžija, 2020. "Whole-Farm Revenue Protection as a Factor of Economic Stability in Crop Production," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
    13. Zhong, Ling & Nie, Jiajia & Yue, Xiaohang & Jin, Minyue, 2023. "Optimal design of agricultural insurance subsidies under the risk of extreme weather," International Journal of Production Economics, Elsevier, vol. 263(C).
    14. Tack, Jesse B., 2013. "The Effect of Climate on Crop Insurance Premium Rates and Producer Subsidies," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149817, Agricultural and Applied Economics Association.
    15. Carter, Michael R. & Galarza, Francisco B. & Boucher, Steve, 2007. "Underwriting Area-based Yield Insurance to Crowd- in Credit Supply Demand," Working Papers 190918, University of California, Davis, Department of Agricultural and Resource Economics.
    16. Kellner, Ulla & Musshoff, Oliver, 2011. "Precipitation or water capacity indices? An analysis of the benefits of alternative underlyings for index insurance," Agricultural Systems, Elsevier, vol. 104(8), pages 645-653, October.
    17. Nick D. Paulson & Bruce A. Babcock, 2007. "Get a GRIP: Should Area Revenue Coverage Be Offered through the Farm Bill or as a Crop Insurance Program?," Center for Agricultural and Rural Development (CARD) Publications 07-wp440, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    18. Sulewski, Piotr & Was, Adam, 2018. "Index-based insurance of gross margin in agriculture – key challenges," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 276382, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    19. Gerlt, Scott & Thompson, Wyatt & Miller, Douglas, 2014. "Exploiting the Relationship between Farm-Level Yields and County-Level Yields for Applied Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-18.
    20. Deng, Xiaohui & Barnett, Barry J. & Hoogenboom, Gerrit & Yu, Yingzhuo & Garcia, Axel, 2006. "Evaluating the Efficiency of Crop Index Insurance Products," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35333, Southern Agricultural Economics Association.
    21. Zant, Wouter, 2008. "Hot Stuff: Index Insurance for Indian Smallholder Pepper Growers," World Development, Elsevier, vol. 36(9), pages 1585-1606, September.
    22. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 61(01), pages 1-14, February.
    23. Nadolnyak, Denis A. & Novak, James L. & Vedenov, Dmitry V. & Paz, Joel O. & Fraisse, Clyde W. & Hoogenboom, Gerrit, 2007. "Non-Parametric Analysis of ENSO Impacts on Yield Distributions: Implications for GRP Contract Design," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34858, Southern Agricultural Economics Association.
    24. Zhiwei Shen & Martin Odening, 2013. "Coping with systemic risk in index-based crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 1-13, January.
    25. Perez Blanco, Carlos Dionisio & Gomez Gomez, Carlos Mario, 2012. "Design of optimum private insurance schemes as a means to reduce water overexploitation during drought events. A case study in Campo de Cartagena (Segura River Basin, Spain)," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 135090, Agricultural Economics Society.
    26. Matthieu Stigler & David Lobell, 2020. "On the benefits of index insurance in US agriculture: a large-scale analysis using satellite data," Papers 2011.12544, arXiv.org, revised Nov 2021.
    27. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2010. "Yield Guarantees And The Producer Welfare Benefits Of Crop Insurance," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61476, Agricultural and Applied Economics Association.
    28. Robert Kast, 2011. "Managing financial risks due to natural catastrophes," Working Papers hal-00610241, HAL.
    29. Gerlt, Scott & Westhoff, Patrick, "undated". "Comparison of County ARC and SCO," 2014 AAEA: Crop Insurance and the 2014 Farm Bill Symposium: Implementing Change in U.S. Agricultural Policy, October 8-9, 2014, Louisville, KY 184289, Agricultural and Applied Economics Association.
    30. Nicholas D. Paulson & Gary D. Schnitkey & Bruce J. Sherrick, 2010. "Rental arrangements and risk mitigation of crop insurance and marketing," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(3), pages 399-413, November.
    31. Marenya, Paswel Phiri & Smith, Vincent H. & Nkonya, Ephraim M., 2012. "Subsistence farmer preferences for alternative incentive policies to encourage the adoption of conservation agriculture in Malawi: A choice elicitation approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124010, Agricultural and Applied Economics Association.
    32. Yehouenou, Lauriane S. M. & Barnett, Barry J. & Harri, Ardian & Coble, Keith H., 2016. "An Analysis of Factors Affecting Bias and Inefficiency in Area Yield Indexes Based on Aggregated Farm Yields," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230081, Southern Agricultural Economics Association.
    33. Chalise, Lekhnath & Coble, Keith H. & Barnett, Barry J. & Miller, J. Corey, 2017. "Developing Area-Triggered Whole Farm Revenue Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(1), pages 1-18, January.
    34. Stigler, Matthieu M. & Lobell, David, 2020. "Suitability of index insurance: new insights from satellite data," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304663, Agricultural and Applied Economics Association.
    35. Keith H. Coble & J. Corey Miller, 2006. "The Devil’s in the Details:Why a Revenue-based Farm Program is No Panacea," Working Papers 9602, Mississippi State University, Department of Agricultural Economics, revised Jul 2006.
    36. Jesse Tack & Keith Coble & Barry Barnett, 2018. "Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 635-647, September.
    37. Kimura, Shingo & Anton, Jesus & Cattaneo, Andrea, 2012. "Effective Risk Management Policy choices under Climate Change: An Application to Saskatchewan Crop Sector," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126736, International Association of Agricultural Economists.
    38. Budhathoki, Nanda Kaji & Lassa, Jonatan A. & Pun, Sirish & Zander, Kerstin K., 2019. "Farmers’ interest and willingness-to-pay for index-based crop insurance in the lowlands of Nepal," Land Use Policy, Elsevier, vol. 85(C), pages 1-10.
    39. Wang, Yang & Barnett, Barry J. & Coble, Keith H. & Harri, Ardian, 2012. "Yield Aggregation Impacts on a “Deep Loss” Systemic Risk Protection Program," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124875, Agricultural and Applied Economics Association.

  37. J. Roy Black & Barry J. Barnett & Yingyao Hu, 1999. "Cooperatives and Capital Markets: The Case of Minnesota-Dakota Sugar Cooperatives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(5), pages 1240-1246.

    Cited by:

    1. Nganje, William E. & Stoltman, Gwen, 2000. "Price Variability And Financial Risk For Sugar Beet Growers," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36493, Western Agricultural Economics Association.
    2. Skees, Jerry R. & Barnett, Barry J. & Hartell, Jason G., 2006. "Innovations in Government Responses to Catastrophic Risk Sharing for Agriculture in Developing Countries," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25548, International Association of Agricultural Economists.
    3. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
    4. Jerry R. Skees & Panos Varangis & Donald F. Larson & Paul Siegel, 2002. "Can Financial Markets be Tapped to Help Poor People Cope with Weather Risks?," WIDER Working Paper Series DP2002-23, World Institute for Development Economic Research (UNU-WIDER).
    5. Ward, Patrick S. & Spielman, David J. & Ortega, David L., 2015. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk," 2015 Conference, August 9-14, 2015, Milan, Italy 211909, International Association of Agricultural Economists.
    6. Haankuku, Choolwe & Epplin, Francis M. & Kakani, Gopal V., 2015. "Energy Sugar Beets to Biofuel: Field to Fuel Production System and Cost Estimates," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196777, Southern Agricultural Economics Association.
    7. Zeuli, Kimberly A. & Skees, Jerry R., 2001. "Managing Yield Risk Through A Cooperative," 2001 Annual meeting, August 5-8, Chicago, IL 20736, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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