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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. Chanda, Areendam & Cook, Justin, 2019. "Who Gained from India’s Demonetization? Insights from Satellites and Surveys," MPRA Paper 95762, University Library of Munich, Germany.
    2. 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.
    3. Jeet Agnihotri & Subhankar Mishra, 2021. "Indian Economy and Nighttime Lights," Papers 2103.03179, arXiv.org.
    4. 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).
    5. Dickinson, Jeffrey, 2020. "Planes, trains, and automobiles: what drives human-made light?," MPRA Paper 117126, University Library of Munich, Germany.
    6. Jaqueson K. Galimberti & Stefan Pichler & Regina Pleninger, 2021. "Measuring Inequality using Geospatial Data," KOF Working papers 21-493, KOF Swiss Economic Institute, ETH Zurich.
    7. Kim, Jihee & Kim, Kyoochul & Park, Sangyoon & Sun, Chang, 2023. "The economic costs of trade sanctions: Evidence from North Korea," Journal of International Economics, Elsevier, vol. 145(C).
    8. Leonard Mushunje & Maxwell Mashasha, 2023. "Non-Banking Sector development effect on Economic Growth. A Nighttime light data approach," Papers 2401.08596, arXiv.org.
    9. Branstetter, Lee G. & Li, Guangwei & Ren, Mengjia, 2023. "Picking winners? Government subsidies and firm productivity in China," Journal of Comparative Economics, Elsevier, vol. 51(4), pages 1186-1199.
    10. Dickinson, Jeffrey, 2020. "Planes, Trains, and Automobiles: Night-time Lights of the USA," MPRA Paper 100841, University Library of Munich, Germany.
    11. 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.
    12. 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.
    13. Hossain, Marup & Hossain, Md Amzad, 2024. "Political alignment and organized violence: Evidence from Nigeria," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 394-426.
    14. 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.
    15. Lai, Pingyao & Zhu, Tian, 2022. "Deflating China's nominal GDP: 2004–2018," China Economic Review, Elsevier, vol. 71(C).

  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. Taiga Tsubota, 2021. "Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting," Papers 2111.10721, arXiv.org, revised Oct 2024.
    2. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    3. 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.
    4. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," NBER Working Papers 29291, National Bureau of Economic Research, Inc.
    5. 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.
    6. Victor Aguirregabiria, 2020. "Identification of Firms' Beliefs in Structural Models of Market Competition," Working Papers tecipa-670, University of Toronto, Department of Economics.
    7. D. Nishijima & M. Oguchi, 2024. "Comparing Product Lifetime Extensions by Enhancing Consumers’ Expected Product Lifetime Among Different Durable Products," Journal of Consumer Policy, Springer, vol. 47(2), pages 223-239, June.
    8. Victor Aguirregabiria & Jihye Jeon, 2018. "Firms' Beliefs and Learning: Models, Identification, and Empirical Evidence," Working Papers tecipa-620, University of Toronto, Department of Economics.

  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. 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.
    2. Asadullah, M. Niaz & Xiao, Saizi & Yeoh, Emile, 2018. "Subjective well-being in China, 2005–2010: The role of relative income, gender, and location," China Economic Review, Elsevier, vol. 48(C), pages 83-101.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Fu, Shihe & Liao, Yu & Zhang, Junfu, 2016. "The effect of housing wealth on labor force participation: Evidence from China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 59-69.
    8. 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.
    9. 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.
    10. Ting Wang & Areendam Chanda, 2016. "Manufacturing Growth and Local Multipliers in China," Departmental Working Papers 2016-02, Department of Economics, Louisiana State University.
    11. Wang, Ting & Chanda, Areendam, 2018. "Manufacturing growth and local employment multipliers in China," Journal of Comparative Economics, Elsevier, vol. 46(2), pages 515-543.
    12. 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.
    13. 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.
    14. You, Jing & Yi, Xuejie & Chen, Meng, 2016. "Love, Life, and “Leftover Ladies” in Urban China," MPRA Paper 70494, University Library of Munich, Germany.

  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. Arellano, Manuel & Blundell, Richard & Bonhomme, Stephane, 2015. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," IZA Discussion Papers 9344, Institute of Labor Economics (IZA).
    4. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  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. 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.
    2. Arthur Lewbel, 2020. "Kotlarski with a Factor Loading," Boston College Working Papers in Economics 1001, Boston College Department of Economics, revised 15 Dec 2020.
    3. 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.
    4. Shakeeb Khan & Arnaud Maurel & Yichong Zhang, 2021. "Informational Content of Factor Structures in Simultaneous Binary Response Models," NBER Working Papers 28327, National Bureau of Economic Research, Inc.
    5. 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.
    6. 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.
    7. 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.
    8. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    9. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. 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.
    11. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    12. 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.
    13. Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2021. "Average Derivative Estimation Under Measurement Error," Econometric Theory, Cambridge University Press, vol. 37(5), pages 1004-1033, October.
    14. 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.
    15. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    16. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    17. 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).
    18. 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.
    19. Jingxuan Luo & Lili Yue & Gaorong Li, 2023. "Overview of High-Dimensional Measurement Error Regression Models," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    20. 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.
    21. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    22. Tom Boot & Art=uras Juodis, 2023. "Uniform Inference in Linear Error-in-Variables Models: Divide-and-Conquer," Papers 2301.04439, arXiv.org.
    23. 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.
    24. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
    25. 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).
    26. 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.
    27. 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.
    28. Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. Chalak, Karim, 2024. "Nonparametric Gini-Frisch bounds," Journal of Econometrics, Elsevier, vol. 238(1).
    36. 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.
    37. Mochen Yang & Edward McFowland & Gordon Burtch & Gediminas Adomavicius, 2022. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 138-155, October.
    38. 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.
    39. Kirill Evdokimov & Andrei Zeleneev, 2024. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 05/24, Institute for Fiscal Studies.
    40. 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.
    41. 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.

  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. Babii, Andrii & Florens, Jean-Pierre, 2020. "Is completeness necessary? Estimation in nonidentified linear models," TSE Working Papers 20-1091, Toulouse School of Economics (TSE).
    2. 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.
    3. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    4. Ben Deaner, 2018. "Proxy Controls and Panel Data," Papers 1810.00283, arXiv.org, revised Nov 2023.
    5. 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.
    6. 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).
    7. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    8. 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.
    9. 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.
    10. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2022. "Consumption peer effects and utility needs in India," Quantitative Economics, Econometric Society, vol. 13(3), pages 1257-1295, July.
    11. 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. 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.
    13. Dalderop, Jeroen, 2023. "Semiparametric estimation of latent variable asset pricing models," Journal of Econometrics, Elsevier, vol. 236(1).
    14. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    15. Loh, Isaac, 2023. "Genericity of the completeness condition with constrained instruments," Economics Letters, Elsevier, vol. 224(C).
    16. Ben Deaner, 2019. "Nonparametric Instrumental Variables Estimation Under Misspecification," Papers 1901.01241, arXiv.org, revised Dec 2022.

  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. 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.
    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. 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.
    4. Li, Tong & Sasaki, Yuya, 2024. "Identification of heterogeneous elasticities in gross-output production functions," Journal of Econometrics, Elsevier, vol. 238(2).
    5. Dibyendu Maiti & Chiranjib Neogi, 2024. "Endogeneity-corrected stochastic frontier with market imperfections," Empirical Economics, Springer, vol. 67(3), pages 1149-1183, September.
    6. 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.
    7. 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.
    8. 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.
    9. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    10. 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.
    11. 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.
    12. 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.
    13. Tong Li & Yuya Sasaki, 2017. "Constructive Identification of Heterogeneous Elasticities in the Cobb-Douglas Production Function," Papers 1711.10031, arXiv.org.
    14. 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.
    15. Abito, Jose Miguel, 2019. "Estimating Production Functions with Fixed Effects," MPRA Paper 97825, University Library of Munich, Germany.
    16. 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.

  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. 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).
    4. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    5. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
    6. 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.
    7. 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.
    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. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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 Jun 2024.
    14. 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.
    15. 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.).
    16. 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.
    17. 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.
    18. 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.
    19. Li, Haizheng & Liu, Qinyi & Xu, Yiting, 2024. "Noncognitive Human Capital and Misreporting Behavior in Online Surveys," IZA Discussion Papers 17332, Institute of Labor Economics (IZA).
    20. Benjamín Villena-Roldán, 2024. "Unpacking the Persistence of Informality," Journal of Labor Research, Springer, vol. 45(2), pages 203-231, June.
    21. Qian Sun, 2024. "Constructing alternative unemployment statistics in China," Empirical Economics, Springer, vol. 67(4), pages 1319-1354, October.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Feng, Shuaizhang & Hu, Yingyao & Sun, Jiandong, 2018. "On the robustness of alternative unemployment measures," Economics Letters, Elsevier, vol. 166(C), pages 1-5.
    28. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Misclassification in binary choice models," Journal of Econometrics, Elsevier, vol. 200(2), pages 295-311.
    29. 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.
    30. 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).
    31. 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).
    32. 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.
    33. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
    34. Hyslop, Dean R. & Townsend, Wilbur, 2017. "Employment misclassification in survey and administrative reports," Economics Letters, Elsevier, vol. 155(C), pages 19-23.
    35. Shuaizhang Feng & Yingyao Hu & Robert Moffitt, 2015. "Long Run Trends in Unemployment and Labor Force Participation in China," Working Papers id:7279, eSocialSciences.
    36. 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.
    37. 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.
    38. 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.
    39. 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).
    40. 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).
    41. John Komlos, 2019. "The Real U.S. Unemployment Rate Is Twice the Official Rate, and the Phillips Curve," CESifo Working Paper Series 7859, CESifo.
    42. 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.
    43. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.
    44. 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.
    45. 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.
    46. 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).
    47. Ng, Travis, 2014. "Bailing outsourcing," Journal of Comparative Economics, Elsevier, vol. 42(4), pages 983-993.
    48. 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).
    49. 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.
    50. 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.
    51. John Komlos, 2019. "Estimating Labor Market Slack, U.S. 1994-2019," CESifo Working Paper Series 7941, CESifo.
    52. 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.
    53. Yonghong An & Pengfei Liu, 2020. "Eliciting Information from Sensitive Survey Questions," Papers 2009.01430, arXiv.org.
    54. Martin Garcia-Vazquez, 2021. "Identification and Estimation of Non-stationary Hidden Markov Models," Working Papers 2021-023, Human Capital and Economic Opportunity Working Group.
    55. Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.
    56. 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. 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.
    2. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. 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.
    4. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.

  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. Nobuyuki Hanaki & Alan Kirman & Paul Pezanis-Christou, 2016. "Counter intuitive learning: An exploratory study," Working Papers hal-01358716, HAL.
    3. Hanaki, Nobuyuki & Kirman, Alan & Pezanis-Christou, Paul, 2018. "Observational and reinforcement pattern-learning: An exploratory study," European Economic Review, Elsevier, vol. 104(C), pages 1-21.
    4. 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.
    5. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    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. 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.
    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. 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.
    5. 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.
    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. 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. 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.
    9. 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.
    10. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    11. 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.
    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. 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.

  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. 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.
    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. 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.
    5. 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.
    6. Andrews, Donald W.K., 2017. "Examples of L2-complete and boundedly-complete distributions," Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
    7. 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.
    8. 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).
    9. Enache, Andreea & Florens, Jean-Pierre, 2020. "Quantile Analysis of "Hazard-Rate" Game Models," TSE Working Papers 20-1117, Toulouse School of Economics (TSE).
    10. 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.
    11. 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.
    12. 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.

  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. 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.
    2. 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.
    3. 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.
    4. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.

  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.
    7. Batarce, Marco, 2024. "Estimation of discrete choice models with error in variables: An application to revealed preference data with aggregate service level variables," Transportation Research Part B: Methodological, Elsevier, vol. 185(C).

  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. 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.
    2. 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.

  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. 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).
    2. Steven T Berry & Giovanni Compiani, 2023. "An Instrumental Variable Approach to Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1724-1758.
    3. Babii, Andrii & Florens, Jean-Pierre, 2020. "Is completeness necessary? Estimation in nonidentified linear models," TSE Working Papers 20-1091, Toulouse School of Economics (TSE).
    4. Neele Balke & Thibaut Lamadon, 2020. "Productivity Shocks, Long-Term Contracts and Earnings Dynamics," Working Papers 2020-160, Becker Friedman Institute for Research In Economics.
    5. 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.
    6. Rasmus Lentz & Suphanit Piyapromdee & Jean-Marc Robin, 2022. "The Anatomy of Sorting - Evidence from Danish Data," SciencePo Working papers Main hal-03869383, HAL.
    7. 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.
    8. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    9. 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.
    10. Rasmus Lentz & Suphanit Piyapromdee & Jean-Marc Robin, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," PIER Discussion Papers 91, Puey Ungphakorn Institute for Economic Research.
    11. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2017. "Dynamic Random Utility," Cowles Foundation Discussion Papers 2092, Cowles Foundation for Research in Economics, Yale University.
    12. 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.
    13. Taiga Tsubota, 2021. "Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting," Papers 2111.10721, arXiv.org, revised Oct 2024.
    14. 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.
    15. 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.
    16. Dillenberger, David & Krishna, R. Vijay & Sadowski, Philipp, 2023. "Subjective information choice processes," Theoretical Economics, Econometric Society, vol. 18(2), May.
    17. 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.
    18. 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.
    19. Ackerberg, Daniel A. & Frazer, Garth & Kim, Kyoo il & Luo, Yao & Su, Yingjun, 2023. "Under-identification of structural models based on timing and information set assumptions," Journal of Econometrics, Elsevier, vol. 237(1).
    20. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," NBER Working Papers 29291, National Bureau of Economic Research, Inc.
    21. 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.
    22. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    24. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    25. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    26. Jared Ashworth & V. Joseph Hotz & Arnaud Maurel & Tyler Ransom, 2017. "Changes across Cohorts in Wage Returns to Schooling and Early Work Experiences," NBER Working Papers 24160, National Bureau of Economic Research, Inc.
    27. 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.
    28. Hanming Fang & Yang Wang, 2010. "Estimating Dynamic Discrete Choice Models with Hyperbolic Discounting, with an Application to Mammography Decisions," PIER Working Paper Archive 10-033, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    29. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    30. Arellano, Manuel & Blundell, Richard & Bonhomme, Stephane, 2015. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," IZA Discussion Papers 9344, Institute of Labor Economics (IZA).
    31. Andrews, Donald W.K., 2017. "Examples of L2-complete and boundedly-complete distributions," Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
    32. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    33. Higgins, Ayden & Jochmans, Koen, 2021. "Identification Of Mixtures Of Dynamic Discrete Choices," TSE Working Papers 21-1272, Toulouse School of Economics (TSE), revised Jan 2023.
    34. 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.
    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. 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.
    37. 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.
    38. 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).
    39. 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.
    40. Arcidiacono, Peter & Miller, Robert A., 2020. "Identifying dynamic discrete choice models off short panels," Journal of Econometrics, Elsevier, vol. 215(2), pages 473-485.
    41. 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.
    42. Yingyao Hu & Yutaka Kayaba & Matt Shum, 2010. "Nonparametric Learning Rules from Bandit Experiments: The Eyes have it!," Economics Working Paper Archive 560, The Johns Hopkins University,Department of Economics.
    43. Carlos Santos & Luis F. Costa & Paulo Brito, 2016. "Demand, supply and markup fluctuations," Nova SBE Working Paper Series wp609, Universidade Nova de Lisboa, Nova School of Business and Economics.
    44. 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.
    45. Otsu, Taisuke & Pesendorfer, Martin, 2023. "Equilibrium multiplicity in dynamic games: testing and estimation," LSE Research Online Documents on Economics 113588, London School of Economics and Political Science, LSE Library.
    46. A. Norets & X. Tang, 2014. "Semiparametric Inference in Dynamic Binary Choice Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1229-1262.
    47. Hanming Fang & Edward Kung, 2012. "Why Do Life Insurance Policyholders Lapse? The Roles of Income, Health and Bequest Motive Shocks," PIER Working Paper Archive 12-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    48. 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.
    49. 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.
    50. 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.
    51. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    52. 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.
    53. 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.
    54. 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.
    55. Yoon, Jangsu, 2024. "Identification and estimation of sequential games of incomplete information with multiple equilibria," Journal of Econometrics, Elsevier, vol. 238(2).
    56. 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.
    57. 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.
    58. 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.
    59. 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.
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. Jason R. Blevins, 2011. "Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models," Working Papers 11-01, Ohio State University, Department of Economics.
    65. 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.
    66. 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.
    67. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    68. 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.
    69. 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.
    70. 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.
    71. 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).
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. Yingyao Hu & Matthew Shum, 2008. "Identifying Dynamic Games with Serially-Correlated Unobservables," Economics Working Paper Archive 546, The Johns Hopkins University,Department of Economics.
    77. Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables From Longitudinal Data," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).
    78. Jaap H. Abbring, 2010. "Identification of Dynamic Discrete Choice Models," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 367-394, September.
    79. Martin Garcia-Vazquez, 2021. "Identification and Estimation of Non-stationary Hidden Markov Models," Working Papers 2021-023, Human Capital and Economic Opportunity Working Group.
    80. 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. Santiago Acerenza & Kyunghoon Ban & D'esir'e K'edagni, 2021. "Local Average and Marginal Treatment Effects with a Misclassified Treatment," Papers 2105.00358, arXiv.org, revised Sep 2024.
    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.
    4. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.

  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. 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).
    2. Eduardo Cavallo & Ilan Noy, 2009. "The Economics of Natural Disasters: A Survey," Research Department Publications 4649, Inter-American Development Bank, Research Department.
    3. 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.
    4. 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.
    5. Giray Gozgor & Mehmet Huseyin Bilgin & Peter Rangazas, 2021. "Economic Uncertainty and Fertility," CESifo Working Paper Series 9025, CESifo.
    6. 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.
    7. Idriss Fontaine & Sabine Garabedian & David Nortes Martínez & Hélène Vérèmes, 2021. "Tropical Cyclones and Fertility : New Evidence from Madagascar," Working Papers hal-03243455, HAL.
    8. Tohru Naito, 2024. "Did the self-restraint at home policy drive away the storks? Evidence from the COVID-19 pandemic in Japan," Letters in Spatial and Resource Sciences, Springer, vol. 17(1), pages 1-12, December.
    9. 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.
    10. Sellers, Samuel & Gray, Clark, 2019. "Climate shocks constrain human fertility in Indonesia," World Development, Elsevier, vol. 117(C), pages 357-369.
    11. du Pont IV, William & Okuyama, Yoko & Noy, Ilan & Sawada, Yasuyuki, 2015. "The long-run socio-economic consequences of a large disaster: The 1995 earthquake in Kobe," Working Paper Series 19264, Victoria University of Wellington, School of Economics and Finance.
    12. 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.
    13. 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.
    14. 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.
    15. Alfredo Burlando, 2014. "Power Outages, Power Externalities, and Baby Booms," Demography, Springer;Population Association of America (PAA), vol. 51(4), pages 1477-1500, August.
    16. Berlemann, Michael & Wenzel, Daniela, 2018. "Hurricanes, economic growth and transmission channels," World Development, Elsevier, vol. 105(C), pages 231-247.
    17. 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.
    18. 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.
    19. Peña, Pablo A., 2020. "Relative age and investment in human capital," Economics of Education Review, Elsevier, vol. 78(C).
    20. 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.

  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. Hakan Yilmazkuday, 2017. "Geographical dispersion of consumer search behaviour," Applied Economics, Taylor & Francis Journals, vol. 49(57), pages 5740-5752, December.
    3. 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.
    4. 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.
    5. Laurent Lamy, 2008. "The econometrics of auctions with asymmetric anonymous bidders," Working Papers halshs-00586039, HAL.
    6. 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.
    7. 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.
    8. 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.
    9. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    10. 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.
    11. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Philippe Jehiel & Laurent Lamy, 2011. "Absolute auctions and secret reserve prices: Why are they used?," Levine's Working Paper Archive 786969000000000316, David K. Levine.
    13. 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.
    14. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    15. 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.
    16. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    17. 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.
    18. 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.
    19. 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.
    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. Nianqing Liu & Kexin Xu, 2024. "Nonparametric estimation of English auctions with selective entry: An application to online judicial auctions," International Studies of Economics, John Wiley & Sons, vol. 19(2), pages 247-267, June.
    22. 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.
    23. 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.
    24. 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.
    25. Joachim Freyberger & Bradley J. Larsen, 2017. "Identification in Ascending Auctions, with an Application to Digital Rights Management," NBER Working Papers 23569, National Bureau of Economic Research, Inc.
    26. 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.
    27. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
    28. 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.
    29. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    30. 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.
    31. 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.
    32. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.
    33. 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.
    34. Kong, Yunmi, 2022. "Identification of English auctions when losing entrants are not observed," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    35. 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.
    36. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    37. 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.
    38. 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.

  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. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
    13. 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.
    14. 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.
    15. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.
    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. 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.

  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. 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.
    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. Xavier d'Haultfoeuille, 2006. "On the Completeness Condition in Nonparametric Instrumental Problems," Working Papers 2006-32, Center for Research in Economics and Statistics.
    4. 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.
    5. Xavier d'Haultfoeuille, 2008. "A New Instrumental Method for Dealing with Endogenous Selection," Working Papers 2008-23, Center for Research in Economics and Statistics.
    6. Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
    7. 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.

  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. 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.
    2. Gagliardini, Patrick & Scaillet, Olivier, 2012. "Tikhonov regularization for nonparametric instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 167(1), pages 61-75.
    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. 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. Breunig, Christoph & Mammen, Enno & Simoni, Anna, 2018. "Nonparametric estimation in case of endogenous selection," Journal of Econometrics, Elsevier, vol. 202(2), pages 268-285.
    6. 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.
    7. Xavier d'Haultfoeuille, 2006. "On the Completeness Condition in Nonparametric Instrumental Problems," Working Papers 2006-32, Center for Research in Economics and Statistics.
    8. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    9. 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.
    10. Hoderlein, Stefan & Winter, Joachim, 2010. "Structural measurement errors in nonseparable models," Munich Reprints in Economics 19445, University of Munich, Department of Economics.
    11. Cunha, Flavio & Heckman, James J. & Schennach, Susanne, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," IZA Discussion Papers 4702, Institute of Labor Economics (IZA).
    12. 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.
    13. El-Attar, Mayssun, 2009. "Could Education Promote the Israeli-Palestinian Peace Process?," IZA Discussion Papers 4447, Institute of Labor Economics (IZA).
    14. 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.
    15. 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.
    16. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    17. 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.

  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. 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.
    2. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Susanne M. Schennach, 2013. "Convolution without independence," CeMMAP working papers CWP46/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. 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.
    5. Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.
    6. 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.
    7. Kato, Kengo & Sasaki, Yuya, 2018. "Uniform confidence bands in deconvolution with unknown error distribution," Journal of Econometrics, Elsevier, vol. 207(1), pages 129-161.
    8. 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.
    9. Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
    10. 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.
    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. 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.
    2. 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.
    3. 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.
    4. Aprajit Mahajan, 2009. "Estimating Price Elasticities with Non-Linear Errors in Variables," Discussion Papers 08-045, Stanford Institute for Economic Policy Research.
    5. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
    6. Paul J. Devereux & Gautam Tripathi, 2008. "Optimally combining censored and uncensored datasets," Working Papers 200820, School of Economics, University College Dublin.
    7. 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.
    8. 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.
    9. 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.

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. Kengo Kato & Yuya Sasaki & Takuya Ura, 2021. "Robust inference in deconvolution," Quantitative Economics, Econometric Society, vol. 12(1), pages 109-142, January.
    5. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    6. Costanza Naguib, 2022. "Financial Turmoil and Earnings Mobility," Diskussionsschriften dp2208, Universitaet Bern, Departement Volkswirtschaft.
    7. 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.
    8. Silvia Sarpietro & Yuya Sasaki & Yulong Wang, 2022. "Non-Existent Moments of Earnings Growth," Papers 2203.08014, arXiv.org, revised Feb 2024.
    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. 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).
    3. 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).
    4. John Komlos, 2019. "The Real U.S. Unemployment Rate Is Twice the Official Rate, and the Phillips Curve," CESifo Working Paper Series 7859, CESifo.
    5. 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.
    6. 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).
    7. John Komlos, 2019. "Estimating Labor Market Slack, U.S. 1994-2019," CESifo Working Paper Series 7941, CESifo.
    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. 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.

    Cited by:

    1. Anna Lou Abatayo & Tongzhe Li, 2024. "Public goods and bads with vulnerable individuals: How information and social nudges change behaviour," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(2), pages 556-587, May.

  7. 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. 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.
    2. 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).

  8. 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.
  9. 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. 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.
    7. 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).
    8. Yucheng Yang & Zhong Zheng & Weinan E, 2020. "Interpretable Neural Networks for Panel Data Analysis in Economics," Papers 2010.05311, arXiv.org, revised Nov 2020.
    9. Clement Imbert & Marlon Seror & Yifan Zhang & Yanos Zylberberg, 2018. "Migrants and Firms: Evidence from China," CESifo Working Paper Series 7440, CESifo.
    10. Hau, Harald & Dautović, Ernest & Huang, Yi, 2017. "The Consumption Response to Minimum Wages: Evidence from Chinese Households," CEPR Discussion Papers 12057, C.E.P.R. Discussion Papers.
    11. 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.
    12. 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).
    13. 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.
    14. 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).
    15. Qian Sun, 2024. "Constructing alternative unemployment statistics in China," Empirical Economics, Springer, vol. 67(4), pages 1319-1354, October.
    16. Ge, Peng & Sun, Wenkai & Zhao, Zhong, 2021. "Employment structure in China from 1990 to 2015," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 168-190.
    17. 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).
    18. 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.
    19. 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.
    20. 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).
    21. 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.
    22. 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.
    23. Dix-Carneiro, Rafael & Traiberman, Sharon, 2023. "Globalization, trade imbalances and inequality," Journal of Monetary Economics, Elsevier, vol. 133(C), pages 48-72.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Zhu, Chen & Qiu, Zhiyi & Liu, Fengjun, 2021. "Does innovation stimulate employment? Evidence from China," Economic Modelling, Elsevier, vol. 94(C), pages 1007-1017.
    31. 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).
    32. 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.
    33. 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.
    34. Sun, Zhen & Cheng, Lei, 2021. "Air pollution and procyclical mortality: Evidence from China," China Economic Review, Elsevier, vol. 68(C).
    35. 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.
    36. 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).
    37. 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.

  10. 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. Diegert, Paul & Jochmans, Koen, 2024. "Nonparametric Identification of Models for Dyadic Data”," TSE Working Papers 24-1574, Toulouse School of Economics (TSE).
    2. 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.
    3. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Botosaru, Irene, 2020. "Nonparametric analysis of a duration model with stochastic unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 217(1), pages 112-139.

  11. 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. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
    2. 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.
    3. 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.
    4. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    5. Yingyao Hu & Yang Liu & Jiaxiong Yao, 2022. "Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN)," Papers 2210.01300, arXiv.org.
    6. Yong Cai, 2022. "Linear Regression with Centrality Measures," Papers 2210.10024, arXiv.org.
    7. Kenichi Nagasawa, 2018. "Treatment Effect Estimation with Noisy Conditioning Variables," Papers 1811.00667, arXiv.org, revised Sep 2022.
    8. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
    9. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    10. 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).
    11. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
    12. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Brantly Callaway & Tong Li & Irina Murtazashvili, 2021. "Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility," Papers 2107.09235, arXiv.org, revised Jun 2024.
    20. 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.

  12. 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.
  13. 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. 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.
    2. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    3. 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.
    4. 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.
    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. Grundl, Serafin & Zhu, Yu, 2024. "Two results on auctions with endogenous entry," Economics Letters, Elsevier, vol. 234(C).
    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.).
    8. Dongwoo Kim & Daniel Wilhelm, 2017. "Powerful t-Tests in the presence of nonclassical measurement error," CeMMAP working papers 57/17, Institute for Fiscal Studies.

  14. 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.
  15. 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.

  16. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.

  17. 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. 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.
    2. Felt, Marie-Hélène, 2020. "On the identification of joint distributions using marginals and aggregates," Economics Letters, Elsevier, vol. 194(C).
    3. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    4. Li, Siran & Zheng, Xunjie, 2020. "A generalization of Lemma 1 in Kotlarski (1967)," Statistics & Probability Letters, Elsevier, vol. 165(C).
    5. 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.
    6. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    7. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    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. 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.
    10. 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.
    11. 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.
    12. Kato, Kengo & Sasaki, Yuya, 2019. "Uniform confidence bands for nonparametric errors-in-variables regression," Journal of Econometrics, Elsevier, vol. 213(2), pages 516-555.
    13. Firpo, Sergio & Galvao, Antonio F. & Song, Suyong, 2017. "Measurement errors in quantile regression models," Journal of Econometrics, Elsevier, vol. 198(1), pages 146-164.
    14. 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.
    15. 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.
    16. 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.

  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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. 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.
    3. Matthew Gentry & Tong Li, 2014. "Identification in Auctions With Selective Entry," Econometrica, Econometric Society, vol. 82(1), pages 315-344, January.
    4. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    5. 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.
    6. Giovanni Compiani & Phil Haile & Marcelo Sant'Anna, 2018. "Common values, unobserved heterogeneity, and endogenous entry in U.S. offshore oil lease auctions," CeMMAP working papers CWP37/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
    8. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    9. 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.
    10. 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.
    11. 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.
    12. Grundl, Serafin & Zhu, Yu, 2024. "Two results on auctions with endogenous entry," Economics Letters, Elsevier, vol. 234(C).
    13. Daniel Prudencio, 2023. "Productivity in Procurement Auctions of Pavement Contracts in Mexico," Journal of Productivity Analysis, Springer, vol. 60(1), pages 63-85, August.
    14. 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.
    15. 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.).
    16. 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.
    17. Joachim Freyberger & Bradley J. Larsen, 2017. "Identification in Ascending Auctions, with an Application to Digital Rights Management," NBER Working Papers 23569, National Bureau of Economic Research, Inc.
    18. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
    19. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.
    27. 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.

  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Susanne M. Schennach, 2013. "Regressions with Berkson errors in covariates - a nonparametric approach," CeMMAP working papers 22/13, Institute for Fiscal Studies.
    7. Hiroyuki Kasahara & Paul Schrimpf & Michio Suzuki, 2023. "Identification and Estimation of Production Function with Unobserved Heterogeneity," Papers 2305.12067, arXiv.org.
    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. Diaz-Serrano, Luis & Nilsson, William, 2017. "The Reliability of Students' Earnings Expectations," IZA Discussion Papers 10700, Institute of Labor Economics (IZA).
    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. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    13. 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.
    14. 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.
    15. Yingyao Hu & Jiaxiong Yao, 2019. "Illuminating Economic Growth," IMF Working Papers 2019/077, International Monetary Fund.
    16. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    17. 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.
    18. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    19. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.
    20. 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.
    21. Hu, Yingyao & Yao, Jiaxiong, 2022. "Illuminating economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 359-378.

  28. 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.
  29. 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.
  30. 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.
  31. 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.

  32. 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. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    2. 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).
    3. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    4. Shibata, Ippei, 2022. "Reassessing classification errors in the analysis of labor market dynamics," Labour Economics, Elsevier, vol. 78(C).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Santiago Acerenza & Kyunghoon Ban & D'esir'e K'edagni, 2021. "Local Average and Marginal Treatment Effects with a Misclassified Treatment," Papers 2105.00358, arXiv.org, revised Sep 2024.
    11. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    12. Matthew Gentry & Tong Li, 2012. "Identification in auctions with selective entry," CeMMAP working papers 38/12, Institute for Fiscal Studies.
    13. Rasmus Lentz & Suphanit Piyapromdee & Jean-Marc Robin, 2018. "On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data," PIER Discussion Papers 91, Puey Ungphakorn Institute for Economic Research.
    14. 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.
    15. Arthur Lewbel & Xi Qu & Xun Tang, 2022. "Estimating Social Network Models with Missing Links," Boston College Working Papers in Economics 1056, Boston College Department of Economics.
    16. 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.
    17. Laurent Lamy, 2008. "The econometrics of auctions with asymmetric anonymous bidders," Working Papers halshs-00586039, HAL.
    18. Feng, Shuaizhang & Hu, Yingyao, 2010. "Misclassification Errors and the Underestimation of U.S. Unemployment Rates," IZA Discussion Papers 5057, Institute of Labor Economics (IZA).
    19. Xiao, Ruli, 2018. "Identification and estimation of incomplete information games with multiple equilibria," Journal of Econometrics, Elsevier, vol. 203(2), pages 328-343.
    20. Denni Tommasi & Lina Zhang, 2020. "Bounding Program Benefits When Participation is Misreported," Monash Econometrics and Business Statistics Working Papers 24/20, Monash University, Department of Econometrics and Business Statistics.
    21. Koen Jochmans & Stéphane Bonhomme & Jean-Marc Robin, 2015. "Nonparametric estimation of finite mixtures from repeated measurements," SciencePo Working papers Main hal-03568247, HAL.
    22. Erich Battistin & Michele De Nadai & Daniela Vuri, 2014. "Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools," CEIS Research Paper 329, Tor Vergata University, CEIS, revised 08 Sep 2014.
    23. 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.
    24. Manuel Arellano & Stéphane Bonhomme, 2019. "Recovering Latent Variables by Matching," Working Papers wp2019_1914, CEMFI.
    25. 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. 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.
    27. Haider, Steven J. & Stephens Jr., Melvin, 2020. "Correcting for Misclassied Binary Regressors Using Instrumental Variables," IZA Discussion Papers 13593, Institute of Labor Economics (IZA).
    28. Kyung Min Kang & Robert A. Moffitt, 2019. "The Effect of SNAP and School Food Programs on Food Security, Diet Quality, and Food Spending: Sensitivity to Program Reporting Error," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 156-201, July.
    29. 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.
    30. 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.
    31. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
    32. Koen Jochmans, 2024. "Nonparametric identification and estimation of stochastic block models from many small networks," Post-Print hal-04672521, HAL.
    33. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    34. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    35. 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.
    36. 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.
    37. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    38. Jochmans, Koen, 2024. "Nonparametric Identification And Estimation of Stochastic Block Models From Many Small Networks”," TSE Working Papers 24-1514, Toulouse School of Economics (TSE).
    39. Battistin, Erich & De Nadai, Michele & Sianesi, Barbara, 2014. "Misreported schooling, multiple measures and returns to educational qualifications," Journal of Econometrics, Elsevier, vol. 181(2), pages 136-150.
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    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
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    51. Higgins, Ayden & Jochmans, Koen, 2021. "Identification Of Mixtures Of Dynamic Discrete Choices," TSE Working Papers 21-1272, Toulouse School of Economics (TSE), revised Jan 2023.
    52. 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.
    53. 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.
    54. Sid Kankanala, 2023. "Quasi-Bayes in Latent Variable Models," Papers 2311.06831, arXiv.org.
    55. 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.
    56. 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.
    57. Stephane Bonhomme, 2021. "Teams: Heterogeneity, Sorting, and Complementarity," Papers 2102.01802, arXiv.org.
    58. 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.
    59. Jamie Fogel & Bernardo Modenesi, 2023. "What is a Labor Market? Classifying Workers and Jobs Using Network Theory," Papers 2311.00777, arXiv.org.
    60. 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.
    61. Feng, Shuaizhang & Hu, Yingyao & Sun, Jiandong, 2018. "On the robustness of alternative unemployment measures," Economics Letters, Elsevier, vol. 166(C), pages 1-5.
    62. 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.
    63. 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.
    64. 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.
    65. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Aug 2024.
    66. Santiago Acerenza, 2024. "Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 74-100, February.
    67. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Misclassification in binary choice models," Journal of Econometrics, Elsevier, vol. 200(2), pages 295-311.
    68. 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.
    69. Xi Wu & Li Gan, 2023. "Multiple dimensions of private information in life insurance markets," Empirical Economics, Springer, vol. 65(5), pages 2145-2180, November.
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    71. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2014. "Nonparametric spectral-based estimation of latent structures," CeMMAP working papers 18/14, Institute for Fiscal Studies.
    72. Glennon, Dennis & Kiefer, Hua & Mayock, Tom, 2018. "Measurement error in residential property valuation: An application of forecast combination," Journal of Housing Economics, Elsevier, vol. 41(C), pages 1-29.
    73. El-Attar, Mayssun, 2009. "Could Education Promote the Israeli-Palestinian Peace Process?," IZA Discussion Papers 4447, Institute of Labor Economics (IZA).
    74. Yingyao Hu & Yutaka Kayaba & Matt Shum, 2010. "Nonparametric Learning Rules from Bandit Experiments: The Eyes have it!," Economics Working Paper Archive 560, The Johns Hopkins University,Department of Economics.
    75. 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).
    76. Sarah Brown & Mark N. Harris & Preety Srivastava & Karl Taylor, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ - 12," Working Papers 2018013, The University of Sheffield, Department of Economics.
    77. 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.
    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. Yang, Xiaolou & Hu, Yingyao, 2024. "Default risk and stock returns: From a perspective of measurement errors," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1545-1561.
    80. Victor Aguirregabiria & Jihye Jeon, 2018. "Firms' Beliefs and Learning: Models, Identification, and Empirical Evidence," Working Papers tecipa-620, University of Toronto, Department of Economics.
    81. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
    82. Wossen, Tesfamicheal & Abay, Kibrom A. & Abdoulaye, Tahirou, 2022. "Misperceiving and misreporting input quality: Implications for input use and productivity," Journal of Development Economics, Elsevier, vol. 157(C).
    83. 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.
    84. 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.
    85. Kirill S. Evdokimov & Andrei Zeleneev, 2024. "Nonparametric Identification and Estimation with Non-Classical Errors-in-Variables," Papers 2403.11309, arXiv.org.
    86. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    87. 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.
    88. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    89. 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.
    90. Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
    91. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    92. Akanksha Negi & Digvijay Singh Negi, 2022. "Difference-in-Differences with a Misclassified Treatment," Papers 2208.02412, arXiv.org.
    93. 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.
    94. 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.
    95. 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.
    96. 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.
    97. Stéphane Bonhomme, 2021. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," Working Papers 2021-15, Becker Friedman Institute for Research In Economics.
    98. Manabu Kuroki, 2016. "The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 228-245, March.
    99. 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.
    100. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    101. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.
    102. 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).
    103. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    104. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.
    105. 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.
    106. William Greene & Mark N. Harris & Preety Srivastava & Xueyan Zhao, 2018. "Misreporting and econometric modelling of zeros in survey data on social bads: An application to cannabis consumption," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 372-389, February.
    107. 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.
    108. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    109. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.
    110. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
    111. 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.
    112. Jonathan N. Katz & Gabriel Katz, 2010. "Correcting for Survey Misreports Using Auxiliary Information with an Application to Estimating Turnout," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 815-835, July.
    113. 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.
    114. 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.
    115. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    116. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
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    120. Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables From Longitudinal Data," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).
    121. Christian Tien, 2022. "Instrumented Common Confounding," Papers 2206.12919, arXiv.org, revised Sep 2022.
    122. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.
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  33. 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. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    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.
    4. 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.
    5. 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.
    6. 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.
    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. Candelaria, Luis E. & Ura, Takuya, 2023. "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, vol. 235(2), pages 862-891.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.

  34. 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.
  35. 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. Yao Luo & Peijun Sang & Ruli Xiao, 2024. "Order Statistics Approaches to Unobserved Heterogeneity in Auctions," Working Papers tecipa-776, University of Toronto, Department of Economics.
    2. 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).
    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. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
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  36. Hu, Yingyao, 2006. "Bounding parameters in a linear regression model with a mismeasured regressor using additional information," Journal of Econometrics, Elsevier, vol. 133(1), pages 51-70, July.

    Cited by:

    1. 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.
    2. Timothy Halliday, 2007. "Mismeasured Household Size and Its Implications for the Identification of Economies of Scale," Working Papers 200709, University of Hawaii at Manoa, Department of Economics.
    3. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics.
    4. 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.
    5. 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.
    6. 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.

  37. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Shen, Zhiwei & Odening, Martin, 2012. "Coping with Systemic Risk in Index-based Crop Insurance," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122555, European Association of Agricultural Economists.
    17. 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.
    18. 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.
    19. 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.
    20. Robert Kast, 2011. "Managing financial risks due to natural catastrophes," Working Papers hal-00610241, HAL.
    21. 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.
    22. 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.
    23. Carriquiry, Miguel A. & Babcock, Bruce & Hart, Chad E., 2008. "Using a Farmer's Beta for Improved Estimation of Expected Yields," ISU General Staff Papers 200804010700001522, Iowa State University, Department of Economics.
    24. Coble, Keith H., 2006. "The Devil's in the Details: Why a Revenue-based Farm Program is No Panacea," Staff Reports 15806, Mississippi State University, Department of Agricultural Economics.
    25. 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.
    26. Barnett, Barry J., 2004. "Agricultural Index Insurance Products: Strengths And Limitations," Agricultural Outlook Forum 2004 32971, United States Department of Agriculture, Agricultural Outlook Forum.
    27. 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.
    28. 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).
    29. 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.
    30. 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.
    31. 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.
    32. Zant, Wouter, 2008. "Hot Stuff: Index Insurance for Indian Smallholder Pepper Growers," World Development, Elsevier, vol. 36(9), pages 1585-1606, September.
    33. Azadeh Falsafian & Mohammad Ghahremanzadeh & Taravat Aref Eshghi & Vali Rasooli Sharabiani & Mariusz Szymanek & Agata Dziwulska-Hunek, 2024. "Producer Welfare Benefits of Rating Area Yield Crop Insurance," Agriculture, MDPI, vol. 14(9), pages 1-21, September.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.

  38. 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. 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.
    2. 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.
    3. 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.
    4. Patrick S. Ward & David L. Ortega & David J. Spielman & Neha Kumar & Sumedha Minocha, 2020. "Demand for Complementary Financial and Technological Tools for Managing Drought Risk," Economic Development and Cultural Change, University of Chicago Press, vol. 68(2), pages 607-653.
    5. 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.
    6. 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).
    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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