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Yao Luo

Personal Details

First Name:Yao
Middle Name:
Last Name:Luo
Suffix:
RePEc Short-ID:plu500
[This author has chosen not to make the email address public]
https://sites.google.com/site/luo8yao/home

Affiliation

Department of Economics
University of Toronto

Toronto, Canada
http://www.economics.utoronto.ca/
RePEc:edi:deutoca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Yao Luo & Peijun Sang, 2022. "Penalized Sieve Estimation of Structural Models," Papers 2204.13488, arXiv.org.
  2. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
  3. Yao Luo & Yu Wang, 2020. "Dynamic Decision Making Under Rolling Admissions: Evidence from U.S. Law School Applications," Working Papers tecipa-681, University of Toronto, Department of Economics.
  4. Victor Aguirregabiria & Jiaying Gu & Yao Luo & Pedro Mira, 2020. "A Dynamic Structural Model of Virus Diffusion and Network Production: A First Report," Working Papers wp2020_2014, CEMFI.
  5. Daniel Ackerberg & Garth Frazer & Kyoo il Kim & Yao Luo & Yingjun Su, 2020. "Under-Identification of Structural Models Based on Timing and Information Set Assumptions," Working Papers tecipa-679, University of Toronto, Department of Economics.
  6. Kory Kroft & Yao Luo & Magne Mogstad & Bradley Setzler, 2020. "Imperfect Competition and Rents in Labor and Product Markets: The Case of the Construction Industry," Working Papers 2020-78, Becker Friedman Institute for Research In Economics.
  7. Loren Brandt & Feitao Jiang & Yao Luo & Yingjun Su, 2019. "Ownership and Productivity in Vertically-Integrated Firms: Evidence from the Chinese Steel Industry," Working Papers tecipa-641, University of Toronto, Department of Economics.
  8. 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.
  9. Yao Luo, 2018. "Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance," Working Papers tecipa-606, University of Toronto, Department of Economics.
  10. Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Papers 1805.04048, arXiv.org.
  11. Jingzhi Huang & Yao Luo & Ruoyu Shao & Haiqing Xu, 2016. "Peer Effects in Credit Ratings," Working Papers tecipa-569, University of Toronto, Department of Economics.
  12. Yao Luo & Yuanyuan Wan, 2015. "Integrated-quantile-based estimation for first price auction models," Working Papers tecipa-539, University of Toronto, Department of Economics.
  13. Liang Chen & Garrett Johnson & Yao Luo, 2015. "Great and Small Walls of China: Distance & Chinese E-Commerce," Working Papers 15-14, NET Institute.
  14. Nianqing Liu & Yao Luo, 2014. "A Nonparametric Test of Exogenous Participation in First-Price Auctions," Working Papers tecipa-519, University of Toronto, Department of Economics.
  15. Luo, Yao & Perrigne, Isabelle & Vuong, Quang, 2014. "Structural Analysis of Nonlinear Pricing," Working Papers 14-003, Rice University, Department of Economics.
  16. Yao Luo, 2011. "Nonlinear Pricing with Product Customization in Mobile Service Industry," Working Papers 11-28, NET Institute.

Articles

  1. 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.
  2. Loren Brandt & Feitao Jiang & Yao Luo & Yingjun Su, 2022. "Ownership and Productivity in Vertically Integrated Firms: Evidence from the Chinese Steel Industry," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 101-115, March.
  3. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021. "Sufficient statistics for unobserved heterogeneity in structural dynamic logit models," Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
  4. Victor Aguirregabiria & Jiaying Gu & Yao Luo & Pedro Mira, 2021. "Diffusion of COVID-19 in Social and Production Networks: Simulation Evidence from a Dynamic Model," Annals of Economics and Statistics, GENES, issue 142, pages 179-210.
  5. Luo, Yao, 2020. "Unobserved heterogeneity in auctions under restricted stochastic dominance," Journal of Econometrics, Elsevier, vol. 216(2), pages 354-374.
  6. Kyoo il Kim & Yao Luo & Yingjun Su, 2019. "A robust approach to estimating production functions: Replication of the ACF procedure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 612-619, June.
  7. Liang Chen & Yao Luo & Ping Xiao, 2019. "Estimating the Demand for Service Bundles under Three‐Part Tariffs," Journal of Industrial Economics, Wiley Blackwell, vol. 67(3-4), pages 448-483, September.
  8. Yao Luo & Yuanyuan Wan, 2018. "Integrated-Quantile-Based Estimation for First-Price Auction Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 173-180, January.
  9. Yao Luo & Isabelle Perrigne & Quang Vuong, 2018. "Auctions with ex post uncertainty," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 574-593, September.
  10. Yao Luo & Isabelle Perrigne & Quang Vuong, 2018. "Structural Analysis of Nonlinear Pricing," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2523-2568.
  11. Luo, Yao, 2018. "Identification of participation constraints in contracts," Economics Letters, Elsevier, vol. 173(C), pages 84-87.
  12. 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.
  13. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Kyoo il Kim & Yao Luo & Yingjun Su, 2019. "A robust approach to estimating production functions: Replication of the ACF procedure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 612-619, June.

    Mentioned in:

    1. A robust approach to estimating production functions: Replication of the ACF procedure (Journal of Applied Econometrics 2019) in ReplicationWiki ()

Working papers

  1. Yao Luo & Peijun Sang, 2022. "Penalized Sieve Estimation of Structural Models," Papers 2204.13488, arXiv.org.

    Cited by:

    1. Thomas J. Sargent & John Stachurski, 2024. "Dynamic Programming: Finite States," Papers 2401.10473, arXiv.org.

  2. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.

    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. 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.
    3. JoonHwan Cho & Yao Luo & Ruli Xiao, 2024. "Deconvolution from two order statistics," Papers 2403.17777, arXiv.org.
    4. Cristián Hernández & Daniel Quint & Christopher Turansick, 2020. "Estimation in English auctions with unobserved heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 868-904, September.

  3. Victor Aguirregabiria & Jiaying Gu & Yao Luo & Pedro Mira, 2020. "A Dynamic Structural Model of Virus Diffusion and Network Production: A First Report," Working Papers wp2020_2014, CEMFI.

    Cited by:

    1. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2022. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," Working Papers 22-18, Federal Reserve Bank of Philadelphia.
    2. Fernández-Villaverde, Jesús & Arias, Jonas & Rubio-Ramírez, Juan Francisco & Shin, Minchul, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," CEPR Discussion Papers 15951, C.E.P.R. Discussion Papers.
    3. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    4. Gans, Joshua Samuel, 2020. "The Economic Consequences of R=1: Towards a Workable Behavioural Epidemiological Model of Pandemics," SocArXiv yxdc5, Center for Open Science.
    5. Miguel Casares & Paul Gomme & Hashmat Khan, 2020. "COVID-19 Pandemic and Economic Scenarios For Ontario," Carleton Economic Papers 20-15, Carleton University, Department of Economics, revised 05 Feb 2021.
    6. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
    7. Margaret E. Slade, 2022. "Many losers and a few winners: The impact of COVID‐19 on Canadian industries and regions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 282-307, February.
    8. Bisin, Alberto & Moro, Andrea, 2022. "JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses," Journal of Urban Economics, Elsevier, vol. 127(C).
    9. Antoine Djogbenou & Christian Gourieroux & Joann Jasiak & Paul Rilstone & Maygol Bandehali, 2022. "Transition model for coronavirus management," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 665-704, February.

  4. Daniel Ackerberg & Garth Frazer & Kyoo il Kim & Yao Luo & Yingjun Su, 2020. "Under-Identification of Structural Models Based on Timing and Information Set Assumptions," Working Papers tecipa-679, University of Toronto, Department of Economics.

    Cited by:

    1. Maarten De Ridder & Basile Grassi & Giovanni Morzenti, 2021. "The Hitchhiker’s Guide to Markup Estimation," Working Papers 677, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.
    3. Sentana, Enrique, 2024. "Finite underidentification," Journal of Econometrics, Elsevier, vol. 240(1).

  5. Kory Kroft & Yao Luo & Magne Mogstad & Bradley Setzler, 2020. "Imperfect Competition and Rents in Labor and Product Markets: The Case of the Construction Industry," Working Papers 2020-78, Becker Friedman Institute for Research In Economics.

    Cited by:

    1. Amodio, Francesco & de Roux, Nicolás, 2021. "Labor Market Power in Developing Countries: Evidence from Colombian Plants," CEPR Discussion Papers 16180, C.E.P.R. Discussion Papers.
    2. David Berger & Kyle Herkenhoff & Andreas R. Kostøl & Simon Mongey, 2024. "An Anatomy of Monopsony: Search Frictions, Amenities, and Bargaining in Concentrated Markets," NBER Macroeconomics Annual, University of Chicago Press, vol. 38(1), pages 1-47.
    3. Thibaut Lamadon & Magne Mogstad & Bradley Setzler, 2019. "Imperfect Competition, Compensating Differentials and Rent Sharing in the U.S. Labor Market," NBER Working Papers 25954, National Bureau of Economic Research, Inc.
    4. Sezer, Ayse Hazal & Uras, Burak, 2024. "Firms and Unions," Other publications TiSEM 81a58c37-dd82-442d-aab1-b, Tilburg University, School of Economics and Management.
    5. Monica Langella & Alan Manning, 2021. "The measure of monopsony," CEP Discussion Papers dp1780, Centre for Economic Performance, LSE.
    6. Berger, David & Herkenhoff, Kyle & Mongey, Simon, 2019. "Labor Market Power," IZA Discussion Papers 12276, Institute of Labor Economics (IZA).
    7. Munch, Jakob R. & Olney, William W., 2024. "Offshoring and the Decline of Unions," IZA Discussion Papers 17116, Institute of Labor Economics (IZA).
    8. Francesco Amodio & Pamela Medina & Monica Morlacco, 2024. "Labor Market Power, Self-Employment, and Development," RF Berlin - CReAM Discussion Paper Series 2418, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    9. Sezer, Ayse Hazal & Uras, Burak, 2024. "Firms and Unions," Discussion Paper 2024-006, Tilburg University, Center for Economic Research.
    10. Monica Langella & Alan Manning, 2021. "Marshall Lecture 2020: The Measure of Monopsony [Monopsony in the UK]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 2929-2957.
    11. Dami'an Vergara, 2022. "Minimum Wages and Optimal Redistribution," Papers 2202.00839, arXiv.org, revised Dec 2022.
    12. Committee, Nobel Prize, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    13. Alonso Alfaro Urena & Isabela Manelici & Jose P. Vasquez, 2021. "The Effects of Multinationals on Workers: Evidence from Costa Rican Microdata," Working Papers 285, Princeton University, Department of Economics, Center for Economic Policy Studies..
    14. Ihsaan Bassier & Arindrajit Dube & Suresh Naidu, 2020. "Monopsony in Movers: The Elasticity of Labor Supply to Firm Wage Policies," NBER Working Papers 27755, National Bureau of Economic Research, Inc.
    15. Lindner, Attila & Muraközy, Balázs & Reizer, Balázs & Schreiner, Ragnhild, 2022. "Firm-level technological change and skill demand," LSE Research Online Documents on Economics 117905, London School of Economics and Political Science, LSE Library.
    16. Agnes Norris Keiller & Tim Obermeier & Andreas Teichgraeber & John Van Reenen, 2024. "An Engine of (Pay) Growth? Productivity and Wages in the UK Auto Industry," NBER Working Papers 32695, National Bureau of Economic Research, Inc.
    17. Peter Hull & Michal Koles'ar & Christopher Walters, 2022. "Labour by Design: Contributions of David Card, Joshua Angrist, and Guido Imbens," Papers 2203.16405, arXiv.org.
    18. Schmieder, Johannes F., 2023. "Establishment age and wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 424-442.
    19. Julian Alves & Jason Greenberg & Yaxin Guo & Ravija Harjai & Bruno Serra-Lorenzo & John Van Reenen, 2024. "Labour market power: New evidence on Non-Compete Agreements and the effects of M&A in the UK," CEP Discussion Papers dp1976, Centre for Economic Performance, LSE.
    20. Amano-Patiño, N. & Aramburu, J. & Contractor, Z., 2022. "Is Affirmative Action in Employment Still Effective in the 21st Century?," Cambridge Working Papers in Economics 2262, Faculty of Economics, University of Cambridge.
    21. Quintero, Luis E. & Roberts, Mark, 2023. "Cities and productivity: Evidence from 16 Latin American and Caribbean countries," Journal of Urban Economics, Elsevier, vol. 136(C).

  6. 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.

    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. Federico A. Bugni & Yulong Wang, 2023. "Inference in Auctions with Many Bidders Using Transaction Prices," Papers 2311.09972, arXiv.org, revised Sep 2024.

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

    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. Kory Kroft & Yao Luo & Magne Mogstad & Bradley Setzler, 2020. "Imperfect Competition and Rents in Labor and Product Markets: The Case of the Construction Industry," NBER Working Papers 27325, National Bureau of Economic Research, Inc.
    3. Philip A. Haile & Yuichi Kitamura, 2018. "Unobserved Heterogeneity in Auctions," Cowles Foundation Discussion Papers 2141, Cowles Foundation for Research in Economics, Yale University.
    4. 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.
    5. Bolotnyy, Valentin & Vasserman, Shoshana, 2023. "Scaling Auctions as Insurance: A Case Study in Infrastructure Procurement," Research Papers 3887, Stanford University, Graduate School of Business.
    6. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    7. Grundl, Serafin & Zhu, Yu, 2024. "Two results on auctions with endogenous entry," Economics Letters, Elsevier, vol. 234(C).
    8. Pasha Andreyanov & El Hadi Caoui, 2022. "Secret reserve prices by uninformed sellers," Quantitative Economics, Econometric Society, vol. 13(3), pages 1203-1256, July.
    9. 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.).
    10. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).

  8. Victor Aguirregabiria & Jiaying Gu & Yao Luo, 2018. "Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models," Papers 1805.04048, arXiv.org.

    Cited by:

    1. Christopher Dobronyi & Jiaying Gu & Kyoo il Kim, 2021. "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers 2104.04590, arXiv.org, revised Apr 2021.
    2. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    3. Victor Aguirregabiria, 2023. "Dynamic demand for differentiated products with fixed-effects unobserved heterogeneity," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 1-25.
    4. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    5. Dmitry Arkhangelsky & Guido W. Imbens, 2021. "Double-Robust Identification for Causal Panel Data Models," NBER Working Papers 28364, National Bureau of Economic Research, Inc.
    6. Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
    8. Stéphane Bonhomme & Martin Weidner, 2019. "Posterior average effects," CeMMAP working papers CWP43/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2019. "Identification of Dynamic Panel Binary Response Models," Boston College Working Papers in Economics 979, Boston College Department of Economics.
    10. Victor Aguirregabiria & Jesus M. Carro, 2021. "Identification of Average Marginal Effects in Fixed Effects Dynamic Discrete Choice Models," Papers 2107.06141, arXiv.org, revised Jul 2024.
    11. 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.
    12. Fu Ouyang & Thomas Tao Yang, 2022. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Papers 2202.12062, arXiv.org, revised Feb 2024.
    13. 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).
    14. Stéphane Bonhomme & Martin Weidner, 2020. "Posterior average effects," CeMMAP working papers CWP49/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
    16. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.
    17. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.

  9. Yao Luo & Yuanyuan Wan, 2015. "Integrated-quantile-based estimation for first price auction models," Working Papers tecipa-539, University of Toronto, Department of Economics.

    Cited by:

    1. Jun Ma & Vadim Marmer & Artyom Shneyerov & Pai Xu, 2019. "Monotonicity-Constrained Nonparametric Estimation and Inference for First-Price Auctions," Papers 1909.12974, arXiv.org.
    2. Zhang, Yu Yvette, 2022. "Nonparametric estimation of first price auctions via density–quantile function," Economics Letters, Elsevier, vol. 216(C).
    3. Pasha Andreyanov & Grigory Franguridi, 2021. "Nonparametric inference on counterfactuals in first-price auctions," Papers 2106.13856, arXiv.org, revised Jun 2022.
    4. Joris Pinkse & Karl Schurter, 2019. "Estimation of Auction Models with Shape Restrictions," Papers 1912.07466, arXiv.org.
    5. Gimenes, Nathalie & Guerre, Emmanuel, 2022. "Quantile regression methods for first-price auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 224-247.
    6. 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.
    7. Joseph Kuehn, 2019. "Estimating Auctions with Externalities: The Case of USFS Timber Auctions," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 791-807, December.
    8. 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.
    9. Haitian Xie, 2023. "Grenander-type Density Estimation under Myerson Regularity," Papers 2305.09052, arXiv.org.

  10. Liang Chen & Garrett Johnson & Yao Luo, 2015. "Great and Small Walls of China: Distance & Chinese E-Commerce," Working Papers 15-14, NET Institute.

    Cited by:

    1. Yi Cai & Chunping Xia, 2018. "Interpretive Structural Analysis of Interrelationships among the Elements of Characteristic Agriculture Development in Chinese Rural Poverty Alleviation," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    2. Fan, Jingting & Tang, Lixin & Zhu, Weiming & Zou, Ben, 2018. "The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce," Journal of International Economics, Elsevier, vol. 114(C), pages 203-220.

  11. Nianqing Liu & Yao Luo, 2014. "A Nonparametric Test of Exogenous Participation in First-Price Auctions," Working Papers tecipa-519, University of Toronto, Department of Economics.

    Cited by:

    1. Federico Zincenko, 2016. "Nonparametric Estimation of First-Price Auctions with Risk-Averse Bidders," Working Paper 5855, Department of Economics, University of Pittsburgh.
    2. Enache, Andreea & Florens, Jean-Pierre, 2020. "Quantile Analysis of "Hazard-Rate" Game Models," TSE Working Papers 20-1117, Toulouse School of Economics (TSE).
    3. Yao Luo & Yuanyuan Wan, 2015. "Integrated-quantile-based estimation for first price auction models," Working Papers tecipa-539, University of Toronto, Department of Economics.
    4. Andreea Enache & Jean-Pierre Florens, 2020. "Identification and Estimation in a Third-Price Auction Model," Post-Print hal-02929530, HAL.
    5. Enache, Andreea & Florens, Jean-Pierre, 2019. "Identification and Estimation in a Third-Price Auction Model," TSE Working Papers 19-989, Toulouse School of Economics (TSE).

  12. Luo, Yao & Perrigne, Isabelle & Vuong, Quang, 2014. "Structural Analysis of Nonlinear Pricing," Working Papers 14-003, Rice University, Department of Economics.

    Cited by:

    1. Daiqiang Zhang, 2021. "Testing Passive Versus Symmetric Beliefs In Contracting With Externalities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 723-767, May.
    2. Enache, Andreea & Florens, Jean-Pierre, 2020. "Quantile Analysis of "Hazard-Rate" Game Models," TSE Working Papers 20-1117, Toulouse School of Economics (TSE).
    3. Chen, Liang & Luo, Yao, 2023. "Empirical analysis of network effects in nonlinear pricing data," International Journal of Industrial Organization, Elsevier, vol. 91(C).
    4. Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2023. "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," Natural Field Experiments 00776, The Field Experiments Website.
    5. Enache, Andreea & Florens, Jean-Pierre, 2024. "Quantile analysis of “hazard-rate” game models," Journal of Econometrics, Elsevier, vol. 238(2).
    6. Gavazza, Alessandro & Benetton, Matteo & Surico, Paolo, 2021. "Mortgage Pricing and Monetary Policy," CEPR Discussion Papers 16456, C.E.P.R. Discussion Papers.
    7. Laura Doval & Vasiliki Skreta, 2021. "Purchase history and product personalization," Papers 2103.11504, arXiv.org, revised Jul 2023.
    8. Yao Luo & Peijun Sang, 2022. "Penalized Sieve Estimation of Structural Models," Papers 2204.13488, arXiv.org.
    9. Soheil Ghili & Russ Yoon, 2023. "An Empirical Analysis of Optimal Nonlinear Pricing in Business-to-Business Markets," Papers 2302.11643, arXiv.org, revised Aug 2024.
    10. Zheng, Han & Fujii, Daisuke, 2021. "Nonlinear Pricing in the Transport Industry and the Gains from Trade," Discussion paper series HIAS-E-112, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    11. Gaurab Aryal & Isabelle Perrigne & Quang Vuong, 2011. "Identification of Insurance Models with Multidimensional Screening," ANU Working Papers in Economics and Econometrics 2011-538, Australian National University, College of Business and Economics, School of Economics.
    12. Yao Luo, 2023. "Bundling and nonlinear pricing in telecommunications," RAND Journal of Economics, RAND Corporation, vol. 54(2), pages 268-298, June.
    13. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    14. Luo, Yao, 2018. "Identification of participation constraints in contracts," Economics Letters, Elsevier, vol. 173(C), pages 84-87.
    15. Liang Chen & Yao Luo, 2023. "Empirical Analysis of Network Effects in Nonlinear Pricing Data," Working Papers tecipa-758, University of Toronto, Department of Economics.
    16. Nianqing Liu & Yao Luo, 2014. "A Nonparametric Test of Exogenous Participation in First-Price Auctions," Working Papers tecipa-519, University of Toronto, Department of Economics.

  13. Yao Luo, 2011. "Nonlinear Pricing with Product Customization in Mobile Service Industry," Working Papers 11-28, NET Institute.

    Cited by:

    1. Patrick Sun, 2014. "Quality Competition in Mobile Telecommunications: Evidence from Connecticut," Working Papers 14-05, NET Institute.

Articles

  1. 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.

    Cited by:

    1. 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.

  2. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021. "Sufficient statistics for unobserved heterogeneity in structural dynamic logit models," Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
    See citations under working paper version above.
  3. Victor Aguirregabiria & Jiaying Gu & Yao Luo & Pedro Mira, 2021. "Diffusion of COVID-19 in Social and Production Networks: Simulation Evidence from a Dynamic Model," Annals of Economics and Statistics, GENES, issue 142, pages 179-210.

    Cited by:

    1. Bisin, Alberto & Moro, Andrea, 2022. "Spatial‐SIR with network structure and behavior: Lockdown rules and the Lucas critique," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 370-388.
    2. Nicholas W. Papageorge, 2021. "Modeling Behavior during a Pandemic: Using HIV as an Historical Analogy," NBER Working Papers 28898, National Bureau of Economic Research, Inc.
    3. Terrence Iverson & Larry Karp & Alessandro Peri, 2022. "Optimal social distancing and the economics of uncertain vaccine arrival," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(5), pages 1071-1100, October.

  4. Luo, Yao, 2020. "Unobserved heterogeneity in auctions under restricted stochastic dominance," Journal of Econometrics, Elsevier, vol. 216(2), pages 354-374.
    See citations under working paper version above.
  5. Kyoo il Kim & Yao Luo & Yingjun Su, 2019. "A robust approach to estimating production functions: Replication of the ACF procedure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 612-619, June.

    Cited by:

    1. Luigi Buzzacchi & Antonio De Marco & Marcello Pagnini, 2021. "Agglomeration and the Italian North-South divide," Questioni di Economia e Finanza (Occasional Papers) 637, Bank of Italy, Economic Research and International Relations Area.
    2. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.
    3. Mo, Jiawei & Qiu, Larry D. & Zhang, Hongsong & Dong, Xiaoyu, 2021. "What you import matters for productivity growth: Experience from Chinese manufacturing firms," Journal of Development Economics, Elsevier, vol. 152(C).
    4. Daniel Ackerberg & Garth Frazer & Kyoo il Kim & Yao Luo & Yingjun Su, 2023. "Under-Identification of Structural Models Based on Timing and Information Set Assumptions," Papers 2303.15170, arXiv.org.
    5. Emanuela Ciapanna & Sara Formai & Andrea Linarello & Gabriele Rovigatti, 2022. "Measuring market power: macro and micro evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 672, Bank of Italy, Economic Research and International Relations Area.
    6. Fei Jia & Minjie Huang & Shunan Zhao, 2024. "Estimation of endogenous firm productivity without instruments: an application to foreign investment," Journal of Productivity Analysis, Springer, vol. 61(2), pages 135-155, April.

  6. Liang Chen & Yao Luo & Ping Xiao, 2019. "Estimating the Demand for Service Bundles under Three‐Part Tariffs," Journal of Industrial Economics, Wiley Blackwell, vol. 67(3-4), pages 448-483, September.

    Cited by:

    1. Chen, Liang & Luo, Yao, 2023. "Empirical analysis of network effects in nonlinear pricing data," International Journal of Industrial Organization, Elsevier, vol. 91(C).
    2. Liang Chen & Yao Luo, 2023. "Empirical Analysis of Network Effects in Nonlinear Pricing Data," Working Papers tecipa-758, University of Toronto, Department of Economics.

  7. Yao Luo & Yuanyuan Wan, 2018. "Integrated-Quantile-Based Estimation for First-Price Auction Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 173-180, January.
    See citations under working paper version above.
  8. Yao Luo & Isabelle Perrigne & Quang Vuong, 2018. "Auctions with ex post uncertainty," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 574-593, September.

    Cited by:

    1. JoonHwan Cho & Yao Luo & Ruli Xiao, 2024. "Deconvolution from two order statistics," Papers 2403.17777, arXiv.org.
    2. Yao Luo & Hidenori Takahashi, 2022. "Bidding for Contracts under Uncertain Demand: Skewed Bidding and Risk Sharing," Working Papers tecipa-732, University of Toronto, Department of Economics.
    3. Vasserman, Shoshana & Watt, Mitchell, 2021. "Risk aversion and auction design: Theoretical and empirical evidence," International Journal of Industrial Organization, Elsevier, vol. 79(C).

  9. Yao Luo & Isabelle Perrigne & Quang Vuong, 2018. "Structural Analysis of Nonlinear Pricing," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2523-2568.
    See citations under working paper version above.
  10. 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.

    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. Federico Zincenko, 2023. "Nonparametric estimation of conditional densities by generalized random forests," Papers 2309.13251, arXiv.org, revised May 2024.
    3. Federico Zincenko, 2019. "Testing for Risk Aversion in First-Price Sealed-Bid Auctions," Working Paper 6641, Department of Economics, University of Pittsburgh.
    4. Grundl, Serafin & Zhu, Yu, 2024. "Two results on auctions with endogenous entry," Economics Letters, Elsevier, vol. 234(C).
    5. 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.
    6. Zincenko, Federico, 2024. "Estimation and inference of seller’s expected revenue in first-price auctions," Journal of Econometrics, Elsevier, vol. 241(1).

  11. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.

    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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 24 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-COM: Industrial Competition (11) 2011-11-07 2014-10-22 2015-08-30 2018-05-14 2018-05-21 2019-08-26 2020-06-15 2020-06-29 2021-02-22 2021-05-17 2022-07-11. Author is listed
  2. NEP-ECM: Econometrics (8) 2014-10-17 2014-10-22 2015-05-16 2018-05-14 2019-03-25 2019-08-26 2020-11-16 2022-05-30. Author is listed
  3. NEP-DES: Economic Design (7) 2018-05-28 2019-03-25 2019-08-26 2020-06-15 2020-12-14 2021-02-22 2022-07-11. Author is listed
  4. NEP-ORE: Operations Research (4) 2018-05-14 2018-05-28 2018-05-28 2020-11-16
  5. NEP-DCM: Discrete Choice Models (3) 2018-05-14 2018-05-21 2018-05-28
  6. NEP-IND: Industrial Organization (3) 2011-11-07 2019-08-12 2020-06-15
  7. NEP-LMA: Labor Markets - Supply, Demand, and Wages (3) 2020-06-15 2020-06-29 2021-05-17
  8. NEP-MKT: Marketing (3) 2011-11-07 2014-10-22 2015-08-30
  9. NEP-NET: Network Economics (3) 2020-05-25 2020-06-15 2021-03-22
  10. NEP-UPT: Utility Models and Prospect Theory (3) 2018-05-21 2018-05-28 2018-05-28
  11. NEP-CNA: China (2) 2015-10-25 2019-08-12
  12. NEP-HEA: Health Economics (2) 2020-06-15 2021-03-22
  13. NEP-SOC: Social Norms and Social Capital (2) 2020-05-25 2020-06-15
  14. NEP-TRA: Transition Economics (2) 2015-10-25 2019-08-12
  15. NEP-URE: Urban and Real Estate Economics (2) 2020-05-25 2020-06-15
  16. NEP-EDU: Education (1) 2020-12-14
  17. NEP-EFF: Efficiency and Productivity (1) 2019-08-12
  18. NEP-GER: German Papers (1) 2015-08-30
  19. NEP-GTH: Game Theory (1) 2018-05-28
  20. NEP-ICT: Information and Communication Technologies (1) 2015-10-25
  21. NEP-MIC: Microeconomics (1) 2018-05-28

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