IDEAS home Printed from https://ideas.repec.org/f/c/plu500.html

Yao Luo

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. "Efficient Estimation of Structural Models via Sieves," Papers 2204.13488, arXiv.org, revised Feb 2025.

    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. JoonHwan Cho & Yao Luo & Ruli Xiao, 2024. "Deconvolution from two order statistics," Papers 2403.17777, arXiv.org.
    2. 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.
    3. Nathalie Gimenes & Tonghui Qi & Sorawoot Srisuma, 2025. "Identification and Estimation of Seller Risk Aversion in Ascending Auctions," Papers 2509.19945, arXiv.org, revised Feb 2026.
    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.
    5. JoonHwan Cho & Yao Luo & Ruli Xiao, 2024. "Deconvolution from two order statistics," Quantitative Economics, Econometric Society, vol. 15(4), pages 1065-1106, November.
    6. Tonghui Qi, 2025. "Identification in Auctions with Truncated Transaction Prices," Papers 2510.04464, arXiv.org, revised Oct 2025.
    7. 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. 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. Norris Keiller, Agnes & Obermeier, Tim & Teichgraeber, Andreas & Van Reenen, John, 2024. "An engine of (pay) growth? Productivity and wages in the UK auto industry," LSE Research Online Documents on Economics 126764, London School of Economics and Political Science, LSE Library.
    2. Malik Curuk & Jérôme Héricourt & Gonzague Vannoorenberghe, 2025. "Labor Market Power, Export Prices and Pass-through," Working Papers 2025-15, CEPII research center.
    3. Rüdiger Bachmann & Christian Bayer & Heiko Stüber & Felix Wellschmied, 2024. "Monopsony Makes Firms not only Small but also Unproductive: Why East Germany has not Converged," ECONtribute Discussion Papers Series 328, University of Bonn and University of Cologne, Germany.
    4. Schmieder, Johannes F., 2023. "Establishment age and wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 424-442.
    5. Grunau, Philipp & Hoffmann, Florian & Lemieux, Thomas & Titze, Mirko, 2025. "Who benefits from place-based policies? Evidence from matched employer-employee data," IWH Discussion Papers 11/2024, Halle Institute for Economic Research (IWH), revised 2025.
    6. Nobel Prize Committee, 2021. "Answering causal questions using observational data," Nobel Prize in Economics documents 2021-2, Nobel Prize Committee.
    7. Sezer, Ayse Hazal & Uras, Burak, 2024. "Firms and Unions," Other publications TiSEM 81a58c37-dd82-442d-aab1-b, Tilburg University, School of Economics and Management.
    8. 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..
    9. David Green, 2026. "The THIRD Way in Empirical Economics Research," RFBerlin Discussion Paper Series 26152, ROCKWOOL Foundation Berlin (RFBerlin).
    10. Alves, Julian & Serra Lorenzo, Bruno & Greenberg, Jason & Guo, Yaxin & Harjai, Ravija & Van Reenen, John, 2024. "Labour market power: new evidence on Non-Compete Agreements and the effects of M&A in the UK," LSE Research Online Documents on Economics 126835, London School of Economics and Political Science, LSE Library.
    11. Langella, Monica & Manning, Alan, 2021. "Marshall Lecture 2020: the measure of monopsony," LSE Research Online Documents on Economics 111444, London School of Economics and Political Science, LSE Library.
    12. Monica Langella & Alan Manning, 2021. "The measure of monopsony," CEP Discussion Papers dp1780, Centre for Economic Performance, LSE.
    13. Peter Hull & Michal Kolesár & Christopher Walters, 2022. "Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
    14. Michael Amior & Shmuel San, 2026. "Internal pay equity and the quantity-quality trade-off in hiring," CEP Discussion Papers dp2161, Centre for Economic Performance, LSE.
    15. Lindner, Attila & Muraközy, Balázs & Reizer, Balázs & Schreiner, Ragnhild, 2026. "Firm-Level Technological Change and Skill Demand," IZA Discussion Papers 18516, IZA Network @ LISER.
    16. Amodio, Francesco & de Roux, Nicolás, 2021. "Labor Market Power in Developing Countries: Evidence from Colombian Plants," IZA Discussion Papers 14390, IZA Network @ LISER.
    17. Attila Lindner & Balazs Murakozy & Balazs Reizer & Ragnhild Schreiner, 2022. "Firm-level technological change and skill demand," CEP Discussion Papers dp1857, Centre for Economic Performance, LSE.
    18. Ihsaan Bassier & Alan Manning, 2025. "Estimating labour market power: the long and short of it," CEP Discussion Papers dp2108, Centre for Economic Performance, LSE.
    19. David Berger & Kyle Herkenhoff & Andreas R. Kostol & Simon Mongey, 2023. "An anatomy of monopsony : Search frictions, amenities and bargaining in concentrated markets," Working Paper 2023/10, Norges Bank.
    20. Amodio, Francesco & Medina, Pamela & Morlacco, Monica, 2022. "Labor Market Power, Self-Employment, and Development," IZA Discussion Papers 15477, IZA Network @ LISER.
    21. Bartelsman, Eric J. & Dobbelaere, Sabien & Zona Mattioli, Alessandro, 2026. "Intangible assets and imperfections in product and labor markets," IWH Discussion Papers 5/2026, Halle Institute for Economic Research (IWH).
    22. Ihsaan Bassier & Joshua Budlender, 2025. "When do employers share? Rent sharing, monopsony and minimum wages," CEP Discussion Papers dp2134, Centre for Economic Performance, LSE.
    23. Patrick Kline, 2025. "Labor Market Monopsony: Fundamentals and Frontiers," RFBerlin Discussion Paper Series 2536, ROCKWOOL Foundation Berlin (RFBerlin).
    24. 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.
    25. David W. Berger & Kyle F. Herkenhoff & Simon Mongey, 2021. "Labor Market Power," Opportunity and Inclusive Growth Institute Working Papers 48, Federal Reserve Bank of Minneapolis.
    26. Thibaut Lamadon & Magne Mogstad & Bradley Setzler, 2022. "Imperfect Competition, Compensating Differentials, and Rent Sharing in the US Labor Market," American Economic Review, American Economic Association, vol. 112(1), pages 169-212, January.
    27. Rıdvan Karacan & Mehmet Emin Yardımcı, 2024. "Free market economy: Is the market or prices free? Theory and evidence from the United States," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(1), pages 59-74, January.
    28. Bartelsman, Eric & Dobbelaere, Sabien & Zona Mattioli, Alessandro, 2026. "Intangible Assets and Imperfections in Product and Labor Markets," IZA Discussion Papers 18440, IZA Network @ LISER.
    29. Amano-Patiño, N. & Aramburu, J. & Contractor, Z., 2026. "Is Affirmative Action in Employment Still Effective in the 21st Century?," Cambridge Working Papers in Economics 2262, Faculty of Economics, University of Cambridge.
    30. Francesco Amodio & Emanuele Brancati & Nicolás de Roux & Michele Di Maio, 2025. "Labor Market Institutions and Wage-Setting Power: Evidence from Latin America and the Caribbean," Documentos CEDE 2025-26, Universidad de los Andes, Facultad de Economía, CEDE.
    31. Jack Fisher, 2024. "Monopsony Power in the Gig Economy," CESifo Working Paper Series 11444, CESifo.
    32. Dami'an Vergara, 2022. "Minimum Wages and Optimal Redistribution," Papers 2202.00839, arXiv.org, revised Dec 2022.
    33. 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).
    34. Jaerim Choi & Jakob R. Munch & William W. Olney, 2026. "Offshoring and the Decline of Unions," Working papers 2026rwp-286, Yonsei University, Yonsei Economics Research Institute.

  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.

    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. 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.
    3. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 2021-09, FEDEA.
    4. Nemati Fard, Lorenzo Amir & Bisin, Alberto & Starnini, Michele & Tizzoni, Michele, 2025. "Modeling adaptive forward-looking behavior in epidemics on networks," Journal of Economic Behavior & Organization, Elsevier, vol. 232(C).
    5. Joshua S. Gans, 2020. "The Economic Consequences of R̂ = 1: Towards a Workable Behavioural Epidemiological Model of Pandemics," NBER Working Papers 27632, National Bureau of Economic Research, Inc.
    6. 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).
    7. 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.
    8. 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.
    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.
    10. 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.

  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.

    Cited by:

    1. Biagini, L. & Antonioli, F. & Severini, S., 2023. "The impact of CAP subsidies on the productivity of cereal farms in six European countries: A historical perspective (2008–2018)," Food Policy, Elsevier, vol. 119(C).
    2. Sentana, Enrique, 2025. "Reprint of: Finite underidentification," Journal of Econometrics, Elsevier, vol. 248(C).
    3. Daniel A. Ackerberg, 2023. "Timing Assumptions and Efficiency: Empirical Evidence in a Production Function Context," Journal of Industrial Economics, Wiley Blackwell, vol. 71(3), pages 644-674, September.
    4. Owusu Ansah, Michael & Skevas, Theodoros & Grashuis, Jasper, 2025. "The impact of Mergers and Acquisitions on the Productivity of U.S. Grain Marketing Cooperatives," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 361178, Agricultural and Applied Economics Association.
    5. Facundo Arga~naraz, 2025. "Automatic Debiased Machine Learning of Structural Parameters with General Conditional Moments," Papers 2512.08423, arXiv.org.
    6. Maarten De Ridder & Basile Grassi & Giovanni Morzenti, 2022. "The Hitchhiker’s Guide to Markup Estimation," Discussion Papers 2210, Centre for Macroeconomics (CFM).
    7. Sentana, Enrique, 2024. "Finite underidentification," Journal of Econometrics, Elsevier, vol. 240(1).
    8. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2023. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Papers 2302.13429, arXiv.org.

  6. 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.

    Cited by:

    1. Anton Yang & Jianwei Ai & Costas Arkolakis, 2025. "A Geospatial Approach to Measuring Economic Activity," Cowles Foundation Discussion Papers 2435, Cowles Foundation for Research in Economics, Yale University.
    2. Lu, M. & Pollitt, M. G., 2025. "Will High Carbon Prices Reduce Fossil Fuel Use in China? Evidence from Price Elasticity Estimates using Firm Data," Cambridge Working Papers in Economics 2527, Faculty of Economics, University of Cambridge.
    3. Loren Brandt & Feitao Jiang & Yao Luo & Yingjun Su, 2026. "The Geography of Market Power: Evidence from the Chinese Steel Industry," Working Papers tecipa-820, University of Toronto, Department of Economics.
    4. Sun, Puyang & Ma, Kewei & Su, Li, 2024. "Import licenses, intermediaries, and price pass-through: Evidence from the Chinese steel market," Journal of International Money and Finance, Elsevier, vol. 149(C).
    5. Zhu, Lin & Zang, Wenjiao, 2026. "The impact of industrial land reform on corporate innovation input: Evidence from a natural experiment in China," Journal of Economics and Business, Elsevier, vol. 138(C).
    6. Li, Haoyang & Wu, Nan & Zhao, Jinhua, 2025. "Markup dispersion, industry coverage and the cost of environmental regulation," Journal of Environmental Economics and Management, Elsevier, vol. 130(C).
    7. Duan, Haoran & Yu, Shiwei & Geng, Haopeng & Cheng, Jinhua, 2025. "Economic vulnerability and resilience analyses for China's iron and steel industry: Insights from COVID-19," Resources Policy, Elsevier, vol. 103(C).

  7. Emmanuel Guerre & Yao Luo, 2019. "Nonparametric Identification of First-Price Auction with Unobserved Competition: A Density Discontinuity Framework," Papers 1908.05476, arXiv.org, revised Dec 2024.

    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 Apr 2026.

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

    Cited by:

    1. Grundl, Serafin & Zhu, Yu, 2019. "Identification and estimation of risk aversion in first-price auctions with unobserved auction heterogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 363-378.
    2. 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.
    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. 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 tecipa-666, University of Toronto, Department of Economics.
    5. Grundl, Serafin & Zhu, Yu, 2024. "Two results on auctions with endogenous entry," Economics Letters, Elsevier, vol. 234(C).
    6. Pasha Andreyanov & El Hadi Caoui, 2022. "Secret reserve prices by uninformed sellers," Quantitative Economics, Econometric Society, vol. 13(3), pages 1203-1256, July.
    7. Grundl, Serafin & Zhu, Yu, 2026. "A simple, robust identification approach for first-price auctions," Journal of Econometrics, Elsevier, vol. 253(C).
    8. Yao Luo & Ruli Xiao, 2022. "Identification of Auction Models Using Order Statistics," Papers 2205.12917, arXiv.org, revised Apr 2023.
    9. Valentin Bolotnyy & Shoshana Vasserman, 2023. "Scaling Auctions as Insurance: A Case Study in Infrastructure Procurement," Econometrica, Econometric Society, vol. 91(4), pages 1205-1259, July.
    10. Luo, Yao & Xiao, Ruli, 2023. "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, vol. 236(1).
    11. 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.

  9. 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. Hu, Yingyao & Xin, Yi, 2024. "Identification and estimation of dynamic structural models with unobserved choices," Journal of Econometrics, Elsevier, vol. 242(2).
    2. Ertian Chen, 2025. "Robust Structural Estimation under Misspecified Latent-State Dynamics," Papers 2510.22347, arXiv.org, revised Nov 2025.
    3. 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.
    4. Christopher Dobronyi & Jiaying Gu & Kyoo il Kim & Thomas M. Russell, 2021. "Identification of Dynamic Panel Logit Models with Fixed Effects," Papers 2104.04590, arXiv.org, revised Apr 2026.
    5. Stéphane Bonhomme & Martin Weidner, 2020. "Posterior average effects," CeMMAP working papers CWP49/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
    7. 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.
    8. Victor Aguirregabiria, 2022. "Dynamic demand for differentiated products with fixed-effects unobserved heterogeneity," Working Papers tecipa-723, University of Toronto, Department of Economics.
    9. 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.
    10. Bunting, Jackson & Diegert, Paul & Maurel, Arnaud, 2025. "Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation," IZA Discussion Papers 17977, IZA Network @ LISER.
    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. Dmitry Arkhangelsky & Guido W. Imbens & Lihua Lei & Xiaoman Luo, 2024. "Design‐robust two‐way‐fixed‐effects regression for panel data," Quantitative Economics, Econometric Society, vol. 15(4), pages 999-1034, November.
    13. Fu Ouyang & Thomas Tao Yang, 2022. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Papers 2202.12062, arXiv.org, revised Feb 2024.
    14. 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.
    15. 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).
    16. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    17. Dmitry Arkhangelsky & Guido W. Imbens, 2019. "Doubly Robust Identification for Causal Panel Data Models," Papers 1909.09412, arXiv.org, revised Feb 2022.
    18. Williams, Benjamin, 2020. "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, vol. 215(1), pages 286-304.
    19. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. 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.

  10. 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. 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.
    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. Doosti, Hassan & Dewan, Isha & Talebian, Masoud, 2025. "Nonparametric estimation of private value distributions in first-price auctions: Evaluating quantile density function approaches," Economics Letters, Elsevier, vol. 257(C).
    4. Kline, Brendan, 2026. "Identification of incomplete information allocation-transfer games in monotone equilibrium," Journal of Econometrics, Elsevier, vol. 253(C).
    5. Zhang, Yu Yvette, 2022. "Nonparametric estimation of first price auctions via density–quantile function," Economics Letters, Elsevier, vol. 216(C).
    6. Nathalie Gimenes & Tonghui Qi & Sorawoot Srisuma, 2025. "Identification and Estimation of Seller Risk Aversion in Ascending Auctions," Papers 2509.19945, arXiv.org, revised Feb 2026.
    7. 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.
    8. Pasha Andreyanov & Grigory Franguridi, 2021. "Nonparametric inference on counterfactuals in first-price auctions," Papers 2106.13856, arXiv.org, revised Oct 2024.
    9. Joris Pinkse & Karl Schurter, 2019. "Estimation of Auction Models with Shape Restrictions," Papers 1912.07466, arXiv.org.
    10. Haitian Xie, 2023. "Grenander-type Density Estimation under Myerson Regularity," Papers 2305.09052, arXiv.org.
    11. Jun Ma & Vadim Marmer & Artyom Shneyerov & Pai Xu, 2019. "Monotonicity-Constrained Nonparametric Estimation and Inference for First-Price Auctions," Papers 1909.12974, arXiv.org.
    12. Gimenes, Nathalie & Guerre, Emmanuel, 2022. "Quantile regression methods for first-price auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 224-247.

  11. 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. Zemin (Zachary) Zhong & Wenyu Zhou & Jiewei Li & Peng Li, 2026. "Regional Poverty Alleviation Partnership and E-Commerce Trade," Marketing Science, INFORMS, vol. 45(1), pages 15-33, January.
    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.
    3. 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.

  12. 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. Enache, Andreea & Florens, Jean-Pierre, 2020. "Quantile Analysis of "Hazard-Rate" Game Models," TSE Working Papers 20-1117, Toulouse School of Economics (TSE).
    2. Federico Zincenko, 2016. "Nonparametric Estimation of First-Price Auctions with Risk-Averse Bidders," Working Paper 5855, Department of Economics, University of Pittsburgh.
    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).

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

    Cited by:

    1. Matteo Benetton & Alessandro Gavazza & Paolo Surico, 2021. "Mortgage pricing and monetary policy," Bank of England Staff Working Paper series 936, Bank of England.
    2. Laura Doval & Vasiliki Skreta, 2021. "Purchase history and product personalization," Papers 2103.11504, arXiv.org, revised Jul 2023.
    3. Enache, Andreea & Florens, Jean-Pierre, 2020. "Quantile Analysis of "Hazard-Rate" Game Models," TSE Working Papers 20-1117, Toulouse School of Economics (TSE).
    4. Luo, Yao & Sang, Peijun, 2026. "Efficient estimation of structural models via sieves," Journal of Econometrics, Elsevier, vol. 253(C).
    5. Soheil Ghili & K. Sudhir & Nitish Jain & Ankur Garg, 2025. "Second-degree Price Discrimination: Theoretical Analysis, Experiment Design, and Empirical Estimation," Papers 2507.13426, arXiv.org, revised Oct 2025.
    6. 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.
    7. Yao Luo & Peijun Sang, 2022. "Efficient Estimation of Structural Models via Sieves," Papers 2204.13488, arXiv.org, revised Feb 2025.
    8. Chen, Liang & Luo, Yao, 2023. "Empirical analysis of network effects in nonlinear pricing data," International Journal of Industrial Organization, Elsevier, vol. 91(C).
    9. 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.
    10. Chen, Chuan & Jia, Yanrong & Martin, Xiumin & Silveira, Bernardo, 2025. "Assessing the objective function of the SEC against financial misconduct: A structural approach," Journal of Accounting and Economics, Elsevier, vol. 80(1).
    11. Hui Liu & Yao Luo, 2025. "Demand Analysis under Price Rigidity and Endogenous Assortment: An Application to China's Tobacco Industry," Papers 2501.17251, arXiv.org.
    12. Yao Luo, 2023. "Bundling and nonlinear pricing in telecommunications," RAND Journal of Economics, RAND Corporation, vol. 54(2), pages 268-298, June.
    13. Felipe Brugués, 2026. "Take the Goods and Run: Contracting Frictions and Market Power in Supply Chains," American Economic Review, American Economic Association, vol. 116(2), pages 582-626, February.
    14. Luo, Yao, 2018. "Identification of participation constraints in contracts," Economics Letters, Elsevier, vol. 173(C), pages 84-87.
    15. 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.
    16. An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023. "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, vol. 236(2).
    17. Gaurab Aryal & Isabelle Perrigne & Quang Vuong, 2015. "Identification of Insurance Models with Multidimensional Screening," Papers 1508.02919, arXiv.org, revised Jan 2016.
    18. Liang Chen & Yao Luo, 2023. "Empirical Analysis of Network Effects in Nonlinear Pricing Data," Working Papers tecipa-758, University of Toronto, Department of Economics.
    19. 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.
    20. Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2026. "Salience and (Non-)Buyer's Remorse: Optimal Nonlinear Pricing with Cognitively Constrained Consumers," Natural Field Experiments 00834, The Field Experiments Website.

  14. 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. Hu, Yingyao & Xin, Yi, 2024. "Identification and estimation of dynamic structural models with unobserved choices," Journal of Econometrics, Elsevier, vol. 242(2).
    2. 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.
    3. Ertian Chen, 2025. "Robust Structural Estimation under Misspecified Latent-State Dynamics," Papers 2510.22347, arXiv.org, revised Nov 2025.
    4. Federico A. Bugni & Jackson Bunting & Takuya Ura, 2025. "Testing homogeneity in dynamic discrete games in finite samples," Quantitative Economics, Econometric Society, vol. 16(4), pages 1267-1320, November.
    5. Yanqin Fan & Shuo Jiang & Xuetao Shi, 2024. "Estimation and inference in games of incomplete information with unobserved heterogeneity and large state space," Quantitative Economics, Econometric Society, vol. 15(4), pages 893-938, November.

  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.
    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. Javier A. Birchenall, 2025. "Plague and prejudice: disease, discrimination, and social exclusion," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 80(1), pages 381-415, August.
    4. 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. 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.
  5. 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.
  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.

    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. 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).
    3. Daniel A. Ackerberg, 2023. "Timing Assumptions and Efficiency: Empirical Evidence in a Production Function Context," Journal of Industrial Economics, Wiley Blackwell, vol. 71(3), pages 644-674, September.
    4. Facundo Arga~naraz, 2025. "Automatic Debiased Machine Learning of Structural Parameters with General Conditional Moments," Papers 2512.08423, 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. Mo, Jiawei & Zhang, Zhe, 2024. "Neighboring capital imports and non-importer productivity: Evidence from geocoded manufacturing firms in China," Journal of Urban Economics, Elsevier, vol. 143(C).
    7. Hou, Zhezhi & Kumbhakar, Subal C. & Zhao, Shunan, 2024. "Productivity and efficiency: Do we need a bridge?," International Journal of Production Economics, Elsevier, vol. 274(C).
    8. 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.
    9. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2023. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Papers 2302.13429, arXiv.org.
    10. Bert M. Balk, 2024. "Why is the Cobb-Douglas production function so popular?," Evolutionary and Institutional Economics Review, Springer, vol. 21(1), pages 1-20, April.
    11. 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).
    12. Shigang Li & Jiawei Mo, 2026. "Production Function Estimation With Resource Misallocation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 41(3), pages 280-294, April.

  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.

    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.

  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.
    See citations under working paper version above.
  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.

    Cited by:

    1. Vasserman, Shoshana & Watt, Mitchell, 2021. "Risk aversion and auction design: Theoretical and empirical evidence," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    2. JoonHwan Cho & Yao Luo & Ruli Xiao, 2024. "Deconvolution from two order statistics," Papers 2403.17777, arXiv.org.
    3. Marilyn Pease & Mark Whitmeyer, 2026. "On Risk Aversion in Auctions," Papers 2603.09683, arXiv.org.
    4. 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.

  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.
    See citations under working paper version above.
  11. 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 Mar 2025.
    3. Nathalie Gimenes & Tonghui Qi & Sorawoot Srisuma, 2025. "Identification and Estimation of Seller Risk Aversion in Ascending Auctions," Papers 2509.19945, arXiv.org, revised Feb 2026.
    4. Jun, Sung Jae & Zincenko, Federico, 2022. "Testing for risk aversion in first-price sealed-bid auctions," Journal of Econometrics, Elsevier, vol. 226(2), pages 295-320.
    5. Grundl, Serafin & Zhu, Yu, 2024. "Two results on auctions with endogenous entry," Economics Letters, Elsevier, vol. 234(C).
    6. Zincenko, Federico, 2024. "Estimation and inference of seller’s expected revenue in first-price auctions," Journal of Econometrics, Elsevier, vol. 241(1).
    7. 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.

  12. 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. Oparina, Ekaterina & Srisuma, Sorawoot, 2022. "Analyzing subjective well-being data with misclassification," LSE Research Online Documents on Economics 108543, London School of Economics and Political Science, LSE Library.

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