IDEAS home Printed from https://ideas.repec.org/f/pan365.html
   My authors  Follow this author

Yonghong An

Personal Details

First Name:Yonghong
Middle Name:
Last Name:An
Suffix:
RePEc Short-ID:pan365
[This author has chosen not to make the email address public]
http://www.yonghongan.org
Department of Economics, Texas A&M University
Terminal Degree:2011 Department of Economics; Johns Hopkins University (from RePEc Genealogy)

Affiliation

Department of Economics
Texas A&M University

College Station, Texas (United States)
https://liberalarts.tamu.edu/economics/
RePEc:edi:detamus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic Decisions under Subjective Expectations: A Structural Analysis," CAEPR Working Papers 2018-001, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  2. 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.
  3. 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.
  4. An, Yonghong & Tang, Xun, 2015. "Identification and Estimation of Auctions with Incomplete Contracts: A Structural Analysis of California Highway Construction Projects," MPRA Paper 62602, University Library of Munich, Germany.
  5. Yonghong An & Kai Zhao & Rong Zhou, 2014. "Health Spending and Public Pension: Evidence from Panel Data," Working papers 2014-27, University of Connecticut, Department of Economics.
  6. Yonghong An & Xun Tang, 2013. "Identifying Structural Models of Committee Decisions with Heterogeneous Tastes and Ideological Bias," PIER Working Paper Archive 13-058, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  7. 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.
  8. 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.
  9. 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.

Articles

  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.
  2. Yonghong An & Xun Tang, 2017. "Identifying Structural Models of Committee Decisions With Heterogeneous Tastes and Ideological Bias," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 452-469, July.
  3. 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.
  4. Yonghong An & Kai Zhao & Rong Zhou, 2016. "Health spending and public pension: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 48(11), pages 987-1004, March.
  5. An, Yonghong & Zhang, Zhixiang, 2012. "Congestion with heterogeneous commuters," Economic Modelling, Elsevier, vol. 29(3), pages 557-565.
  6. 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.
  7. 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.

Chapters

  1. An Yonghong & Hsiao Cheng & Li Dong, 2016. "Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 47-65, Emerald Group Publishing Limited.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic Decisions under Subjective Expectations: A Structural Analysis," CAEPR Working Papers 2018-001, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.

    Cited by:

    1. Victor Aguirregabiria, 2021. "Identification of firms’ beliefs in structural models of market competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 5-33, February.
    2. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Working Papers tecipa-706, University of Toronto, Department of Economics.
    3. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
    4. Taiga Tsubota, 2021. "Identifying Dynamic Discrete Choice Models with Hyperbolic Discounting," Papers 2111.10721, arXiv.org, revised Oct 2024.
    5. Pamela Giustinelli, 2022. "Expectations in Education: Framework, Elicitation, and Evidence," Working Papers 2022-026, Human Capital and Economic Opportunity Working Group.
    6. Yingyao Hu & Yi Xin, 2019. "Identi?cation and estimation of dynamic structural models with unobserved choices," CeMMAP working papers CWP35/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. 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. 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.

  2. 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.

    Cited by:

    1. 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.

  3. 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.

  4. Yonghong An & Kai Zhao & Rong Zhou, 2014. "Health Spending and Public Pension: Evidence from Panel Data," Working papers 2014-27, University of Connecticut, Department of Economics.

    Cited by:

    1. Tianxu Chen, 2019. "Can Health Savings Account Reduce Health Spending?: Evidence from China," Working papers 2019-08, University of Connecticut, Department of Economics.
    2. Niklas Potrafke, 2016. "Partisan Politics: The Empirical Evidence from OECD Panel Studies," CESifo Working Paper Series 6024, CESifo.
    3. Chong Lu & Ailin Wu, 2020. "The Household Registration Threshold and Peasant Worker Decision-Making over Acquiring Urban Hukou in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 767-792, October.
    4. Vitor Castro, 2017. "Pure, White and Deadly… Expensive: A Bitter Sweetness in Health Care Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1644-1666, December.
    5. Suisui Chen & Xintian Liu & Shuhong Wang & Peng Wang, 2023. "Regional Corruption, Foreign Trade, and Environmental Pollution," Sustainability, MDPI, vol. 15(1), pages 1-17, January.
    6. Héctor Bellido & Lorena Olmos & Juan Antonio Román-Aso, 2019. "Do political factors influence public health expenditures? Evidence pre- and post-great recession," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(3), pages 455-474, April.

  5. Yonghong An & Xun Tang, 2013. "Identifying Structural Models of Committee Decisions with Heterogeneous Tastes and Ideological Bias," PIER Working Paper Archive 13-058, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    Cited by:

    1. Hamza Bennani, 2016. "Measuring Monetary Policy Stress for Fed District Representatives," Post-Print hal-01386000, HAL.

  6. 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. Sandro Shelegia & Chris M. Wilson, 2016. "A generalized model of sales," Economics Working Papers 1541, Department of Economics and Business, Universitat Pompeu Fabra.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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.

  7. 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.

  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.

    Cited by:

    1. 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.
    2. Andrews, Donald W.K., 2017. "Examples of L2-complete and boundedly-complete distributions," Journal of Econometrics, Elsevier, vol. 199(2), pages 213-220.
    3. 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.
    4. 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).
    5. Enache, Andreea & Florens, Jean-Pierre, 2020. "Quantile Analysis of "Hazard-Rate" Game Models," TSE Working Papers 20-1117, Toulouse School of Economics (TSE).
    6. 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.
    7. 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.
    8. Hu, Yingyao & Schennach, Susanne M. & Shiu, Ji-Liang, 2017. "Injectivity of a class of integral operators with compactly supported kernels," Journal of Econometrics, Elsevier, vol. 200(1), pages 48-58.
    9. 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.
    10. 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.
    11. Jerry A. Hausman & Haoyang Liu & Ye Luo & Christopher Palmer, 2019. "Errors in the Dependent Variable of Quantile Regression Models," NBER Working Papers 25819, National Bureau of Economic Research, Inc.
    12. Toru Kitagawa & Martin Nybom & Jan Stuhler, 2018. "Measurement error and rank correlations," CeMMAP working papers CWP28/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

Articles

  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.

    Cited by:

    1. Victor Aguirregabiria, 2021. "Identification of firms’ beliefs in structural models of market competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 5-33, February.
    2. 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.
    3. Grundl, Serafin & Zhu, Yu, 2023. "Robust inference in first-price auctions: Overbidding as an identifying restriction," Journal of Econometrics, Elsevier, vol. 235(2), pages 484-506.
    4. Itzhak Rasooly, 2021. "Going... going... wrong: a test of the level-k (and cognitive hierarchy) models of bidding behaviour," Papers 2111.05686, arXiv.org.
    5. Yonghong An & Yingyao Hu & Ruli Xiao, 2018. "Dynamic decisions under subjective expectations: a structural analysis," CeMMAP working papers CWP11/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
    7. Luo, Yao, 2020. "Unobserved heterogeneity in auctions under restricted stochastic dominance," Journal of Econometrics, Elsevier, vol. 216(2), pages 354-374.
    8. Qiao Wang, 2023. "Does the Chinese labour force make sufficient efforts? Empirical evidence using non‐parametric analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3262-3280, July.
    9. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large Bayesian game with heterogeneous beliefs," Journal of Econometrics, Elsevier, vol. 237(1).
    10. 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.
    11. Serafin J. Grundl & Yu Zhu, 2019. "Robust Inference in First-Price Auctions : Experimental Findings as Identifying Restrictions," Finance and Economics Discussion Series 2019-006, Board of Governors of the Federal Reserve System (U.S.).
    12. 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.
    13. 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.
    14. Itzhak Rasooly, 2022. "Going...going...wrong: a test of the level-k (and cognitive hierarchy) models of bidding behaviour," Economics Series Working Papers 959, University of Oxford, Department of Economics.
    15. Kojevnikov, Denis & Song, Kyungchul, 2023. "Econometric inference on a large bayesian game with heterogeneous beliefs," Other publications TiSEM aca0631e-4f8a-45c7-af3a-4, Tilburg University, School of Economics and Management.
    16. Zhou, Hang, 2022. "Informed speculation with k-level reasoning," Journal of Economic Theory, Elsevier, vol. 200(C).
    17. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    18. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    19. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
    20. Xiaohu Qian & Shu-Cherng Fang & Min Huang & Tiantian Nie & Xingwei Wang, 2019. "Bidding Decisions with Nonequilibrium Strategic Thinking in Reverse Auctions," Group Decision and Negotiation, Springer, vol. 28(4), pages 757-786, August.

  2. Yonghong An & Xun Tang, 2017. "Identifying Structural Models of Committee Decisions With Heterogeneous Tastes and Ideological Bias," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 452-469, July.
    See citations under working paper version above.
  3. 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.
  4. Yonghong An & Kai Zhao & Rong Zhou, 2016. "Health spending and public pension: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 48(11), pages 987-1004, March.
    See citations under working paper version above.
  5. An, Yonghong & Zhang, Zhixiang, 2012. "Congestion with heterogeneous commuters," Economic Modelling, Elsevier, vol. 29(3), pages 557-565.

    Cited by:

    1. Kim, Jeong-Yoo & Lee, Myeong Ho & Berg, Nathan, 2016. "Peak-load pricing in duopoly," Economic Modelling, Elsevier, vol. 57(C), pages 47-54.
    2. Lu, Tingmingke, 2023. "Response of new car buyers to alternative energy policies: The role of vehicle use heterogeneity," Economic Modelling, Elsevier, vol. 120(C).
    3. Chen, Jin-Yong & Jiang, Rui & Li, Xin-Gang & Hu, Mao-Bin & Jia, Bin & Gao, Zi-You, 2019. "Morning commute problem with queue-length-dependent bottleneck capacity," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 184-215.
    4. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
    5. Liu, Yang & Li, Yuanyuan & Hu, Lu, 2018. "Departure time and route choices in bottleneck equilibrium under risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 774-793.
    6. Liu, Peng & Liu, Jielun & Ong, Ghim Ping & Tian, Qiong, 2020. "Flow pattern and optimal capacity in a bi-modal traffic corridor with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    7. Jérémy Eydieux, 2015. "Risks governance and risky operations helping each other to face unexpected events: A few contributions of pragmatist philosophy," Post-Print hal-01230912, HAL.
    8. Yang, Hai & Liu, Wei & Wang, Xiaolei & Zhang, Xiaoning, 2013. "On the morning commute problem with bottleneck congestion and parking space constraints," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 106-118.

  6. 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.
  7. 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.

    Cited by:

    1. Laurent Lamy, 2007. "The Econometrics of Auctions with Asymmetric Anonymous Bidders," Working Papers 2007-24, Center for Research in Economics and Statistics.
    2. 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.
    3. 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.
    4. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers 41/12, Institute for Fiscal Studies.
    5. D’Haultfœuille, Xavier & Février, Philippe, 2015. "Identification of mixture models using support variations," Journal of Econometrics, Elsevier, vol. 189(1), pages 70-82.
    6. Hakan Yilmazkuday, 2017. "Geographical dispersion of consumer search behaviour," Applied Economics, Taylor & Francis Journals, vol. 49(57), pages 5740-5752, December.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    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.
    12. Luo, Yao, 2020. "Unobserved heterogeneity in auctions under restricted stochastic dominance," Journal of Econometrics, Elsevier, vol. 216(2), pages 354-374.
    13. 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.
    14. 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.
    15. Joachim Freyberger & Bradley J. Larsen, 2022. "Identification in ascending auctions, with an application to digital rights management," Quantitative Economics, Econometric Society, vol. 13(2), pages 505-543, May.
    16. 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.
    17. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. Shneyerov, Art & Wong, Adam Chi Leung, 2008. "Identification in First-Price and Dutch Auctions when the Number of Potential Bidders is Unobservable," Microeconomics.ca working papers artyom_shneyerov-2008-12, Vancouver School of Economics, revised 01 Oct 2008.
    27. 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.
    28. 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.
    29. Philippe Jehiel & Laurent Lamy, 2011. "Absolute auctions and secret reserve prices: Why are they used?," Levine's Working Paper Archive 786969000000000316, David K. Levine.
    30. Merlo, Antonio & Tang, Xun, 2015. "Bargaining with Optimism: A Structural Analysis of Medical Malpractice Litigation," Working Papers 15-005, Rice University, Department of Economics.
    31. 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.
    32. 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.
    33. Kong, Yunmi, 2022. "Identification of English auctions when losing entrants are not observed," International Journal of Industrial Organization, Elsevier, vol. 85(C).
    34. 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.
    35. 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.
    36. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    37. 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.
    38. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).

Chapters

  1. An Yonghong & Hsiao Cheng & Li Dong, 2016. "Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 47-65, Emerald Group Publishing Limited.

    Cited by:

    1. Bogui Li & Jianbao Chen & Shuangshuang Li, 2023. "Estimation of Fixed Effects Partially Linear Varying Coefficient Panel Data Regression Model with Nonseparable Space-Time Filters," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    2. Du, Kerui & Yu, Ying & Li, Jing, 2020. "Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model," Energy Economics, Elsevier, vol. 92(C).
    3. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    4. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Featured entries

This author is featured on the following reading lists, publication compilations, Wikipedia, or ReplicationWiki entries:
  1. Korean Economists

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (4) 2009-10-31 2010-04-17 2013-10-25 2015-03-13
  2. NEP-COM: Industrial Competition (3) 2010-08-06 2010-11-27 2015-03-13
  3. NEP-CTA: Contract Theory and Applications (2) 2013-10-25 2015-03-13
  4. NEP-ICT: Information and Communication Technologies (2) 2010-08-06 2010-11-27
  5. NEP-IND: Industrial Organization (2) 2010-08-06 2010-11-27
  6. NEP-AGE: Economics of Ageing (1) 2014-11-07
  7. NEP-BEC: Business Economics (1) 2010-11-27
  8. NEP-CDM: Collective Decision-Making (1) 2013-10-25
  9. NEP-EXP: Experimental Economics (1) 2015-08-19
  10. NEP-HEA: Health Economics (1) 2014-11-07
  11. NEP-LTV: Unemployment, Inequality and Poverty (1) 2015-10-04
  12. NEP-PBE: Public Economics (1) 2014-11-07
  13. NEP-PPM: Project, Program and Portfolio Management (1) 2015-03-13
  14. NEP-TRE: Transport Economics (1) 2015-03-13

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Yonghong An should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.