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Che-Lin Su

(deceased)

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. Yongyang Cai & Kenneth L. Judd & Thomas S. Lontzek & Valentina Michelangeli & Che-Lin Su, 2013. "Nonlinear Programming Method for Dynamic Programming," NBER Working Papers 19034, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yongyang Cai & Kenneth L. Judd & Greg Thain & Stephen J. Wright, 2013. "Solving Dynamic Programming Problems on a Computational Grid," NBER Working Papers 18714, National Bureau of Economic Research, Inc.
    2. Ulmer, Marlin W. & Thomas, Barrett W., 2020. "Meso-parametric value function approximation for dynamic customer acceptances in delivery routing," European Journal of Operational Research, Elsevier, vol. 285(1), pages 183-195.

  2. Armstrong, Christopher D. & Larcker, David F. & Su, Che-Lin, 2010. "Endogenous Selection and Moral Hazard in Compensation Contracts," Research Papers 2049, Stanford University, Graduate School of Business.

    Cited by:

    1. Moussawi-Haidar, Lama & Çömez-Dolgan, Nagihan, 2017. "Percentage rent contracts between co-stores," European Journal of Operational Research, Elsevier, vol. 258(3), pages 912-925.
    2. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
    3. Tian, Yisong S., 2013. "Ironing out the kinks in executive compensation: Linking incentive pay to average stock prices," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 415-432.
    4. Kenneth Judd & Garrett van Ryzin, 2010. "Preface to the Special Issue on Computational Economics," Operations Research, INFORMS, vol. 58(4-part-2), pages 1035-1036, August.
    5. Christopher S. Armstrong, 2013. "The Ombudsman: A Closer Look at the Efficiency of Top Executive Pay and Incentives," Interfaces, INFORMS, vol. 43(6), pages 590-592, December.
    6. Zhang, Yanfen & Xu, Qi & Zhang, Guoqing, 2023. "Optimal contracts with moral hazard and adverse selection in a live streaming commerce market," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    7. Iny Hwang & Youngsoo Kim & Michael K. Lim, 2023. "Optimal Ratcheting in Executive Compensation," Decision Analysis, INFORMS, vol. 20(2), pages 166-185, June.

  3. Jean-Pierre H. Dubé & Jeremy T. Fox & Che-Lin Su, 2009. "Improving the Numerical Performance of BLP Static and Dynamic Discrete Choice Random Coefficients Demand Estimation," NBER Working Papers 14991, National Bureau of Economic Research, Inc.

    Cited by:

    1. Reynaert, Mathias & Verboven, Frank, 2014. "Improving the performance of random coefficients demand models: The role of optimal instruments," Journal of Econometrics, Elsevier, vol. 179(1), pages 83-98.
    2. German Zenetti & Thomas Otter, 2014. "Bayesian estimation of the random coefficients logit from aggregate count data," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 43-84, March.
    3. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," International Journal of Industrial Organization, Elsevier, vol. 86(C).
    4. Lai, Yufeng & Yue, Chengyan, 2020. "Consumer Willingness to pay for Organic and Animal Welfare Product Attributes: Do Experimental Results Align with Market Data?," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304328, Agricultural and Applied Economics Association.
    5. Christopher R. Knittel & Konstantinos Metaxoglou, 2011. "Challenges in Merger Simulation Analysis," American Economic Review, American Economic Association, vol. 101(3), pages 56-59, May.
    6. Verboven, Frank & Grigolon, Laura, 2011. "Nested logit or random coefficients logit? A comparison of alternative discrete choice models of product differentiation," CEPR Discussion Papers 8584, C.E.P.R. Discussion Papers.
    7. Cohen, Michael & Rabinowitz, Adam, 2012. "An Empirical Analysis of Equilibrium Pricing and Advertising in the Ready-To-Eat Cereal Market," Working Paper series 148350, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    8. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2011. "An Equilibrium Model of User Generated Content," Working Papers 11-13, NET Institute, revised Dec 2011.
    9. Yu Zheng & Juan Pantano, 2012. "Using Subjective Expectations Data to Allow for Unobserved Heterogeneity in Hotz-Miller Estimation Strategies," 2012 Meeting Papers 940, Society for Economic Dynamics.
    10. Davis, Peter & Schiraldi, Pasquale, 2013. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," LSE Research Online Documents on Economics 54252, London School of Economics and Political Science, LSE Library.
    11. Steven Berry & Panle Jia, 2010. "Tracing the Woes: An Empirical Analysis of the Airline Industry," American Economic Journal: Microeconomics, American Economic Association, vol. 2(3), pages 1-43, August.
    12. Panle Jia Barwick & Parag A. Pathak, 2011. "The Costs of Free Entry: An Empirical Study of Real Estate Agents in Greater Boston," NBER Working Papers 17227, National Bureau of Economic Research, Inc.
    13. Pham, Vivienne & Prentice, David, 2010. "An empirical analysis of the counterfactual: a merger and divestiture in the Australian cigarette industry," MPRA Paper 26713, University Library of Munich, Germany.
    14. Joachim Freyberger, 2012. "Asymptotic theory for differentiated products demand models with many markets," CeMMAP working papers 19/12, Institute for Fiscal Studies.
    15. Jessie Handbury, 2019. "Are Poor Cities Cheap for Everyone? Non-Homotheticity and the Cost of Living Across U.S. Cities," NBER Working Papers 26574, National Bureau of Economic Research, Inc.

  4. Che-Lin Su & Kenneth L. Judd, 2008. "Constrainted Optimization Approaches to Estimation of Structural Models," Discussion Papers 1460, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Reynaert, Mathias & Verboven, Frank, 2014. "Improving the performance of random coefficients demand models: The role of optimal instruments," Journal of Econometrics, Elsevier, vol. 179(1), pages 83-98.
    2. Fedor Iskhakov & Jinhyuk Lee & John Rust & Bertel Schjerning & Kyoungwon Seo, 2015. "Constrained Optimization Approaches to Estimation of Structural Models: Comment," Discussion Papers 15-05, University of Copenhagen. Department of Economics.
    3. Pawel Krolikowski & Andrew H. McCallum, 2016. "Goods-Market Frictions and International Trade," Working Papers (Old Series) 1635, Federal Reserve Bank of Cleveland.
    4. Vivek Bhattacharya & James W. Roberts & Andrew Sweeting, 2013. "Regulating Bidder Participation in Auctions," NBER Working Papers 19352, National Bureau of Economic Research, Inc.
    5. Grzybowski, Lukasz, 2005. "Essays on Economics of Network Industries: Mobile Telephony," Munich Dissertations in Economics 5561, University of Munich, Department of Economics.
    6. Patrick Kofod Mogensen, 2018. "Solving Dynamic Discrete Choice Models: Integrated or Expected Value Function?," Papers 1801.03978, arXiv.org.
    7. Hiroyuki Kasahara & Katsumi Shimotsu, 2012. "Sequential Estimation of Structural Models With a Fixed Point Constraint," Econometrica, Econometric Society, vol. 80(5), pages 2303-2319, September.
    8. David Albouy & Bryan A. Stuart, 2020. "Urban Population And Amenities: The Neoclassical Model Of Location," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(1), pages 127-158, February.
    9. Qingyan Shang & Lung-fei Lee, 2011. "Two-Step Estimation of Endogenous and Exogenous Group Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(2), pages 173-207.
    10. Andreas Lanz & Gregor Reich & Ole Wilms, 2022. "Adaptive grids for the estimation of dynamic models," Quantitative Marketing and Economics (QME), Springer, vol. 20(2), pages 179-238, June.
    11. Freyberger, Joachim, 2015. "Asymptotic theory for differentiated products demand models with many markets," Journal of Econometrics, Elsevier, vol. 185(1), pages 162-181.
    12. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    13. Adam Dearing & Jason R. Blevins, 2019. "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games," Papers 1912.10488, arXiv.org, revised Apr 2024.
    14. Sumon Datta & K. Sudhir, 2013. "Does reducing spatial differentiation increase product differentiation? Effects of zoning on retail entry and format variety," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 83-116, March.
    15. Doraszelski, Ulrich & Escobar, Juan, 2008. "A Theory of Regular Markov Perfect Equilibria in Dynamic Stochastic Games: Genericity, Stability, and Purification," CEPR Discussion Papers 6805, C.E.P.R. Discussion Papers.
    16. Balistreri, Edward J. & Hillberry, Russell H. & Rutherford, Thomas F., 2007. "Structural Estimation and Solution of International Trade Models with Heterogeneous Firms," Conference papers 331590, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    17. Shiko Maruyama, 2009. "Estimating Sequential-move Games by a Recursive Conditioning Simulator," Discussion Papers 2009-01, School of Economics, The University of New South Wales.
    18. George‐Levi Gayle & Andrew Shephard, 2019. "Optimal Taxation, Marriage, Home Production, and Family Labor Supply," Econometrica, Econometric Society, vol. 87(1), pages 291-326, January.
    19. Fabio A. Miessi Sanches & Daniel Silva Junior, Sorawoot Srisuma, 2015. "Minimum Distance Estimation of Search Costs using Price Distribution," Working Papers, Department of Economics 2015_31, University of São Paulo (FEA-USP).
    20. Amine Ouazad & Romain Rancière, 2015. "Structural Demand Estimation with Borrowing Constraints," Working Papers halshs-01207997, HAL.
    21. Cai, Yongyang & Judd, Kenneth L. & Lontzek, Thomas S. & Michelangeli, Valentina & Su, Che-Lin, 2017. "A Nonlinear Programming Method For Dynamic Programming," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 336-361, March.
    22. Ziying Yang & Félix Muñoz-García, 2018. "Can Banning Spatial Price Discrimination Improve Social Welfare?," Journal of Industry, Competition and Trade, Springer, vol. 18(2), pages 223-243, June.
    23. Daniel Borowczyk-Martins & Jake Bradley & Linas Tarasonis, 2014. "Racial Discrimination in the U.S. Labor Market: Employment and Wage Differentials by Skill," Working Papers halshs-00989748, HAL.
    24. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers 51/16, Institute for Fiscal Studies.
    25. Chih-Sheng Hsieh & Michael D. König & Xiaodong Liu & Christian Zimmermann, 2018. "Superstar Economists: Coauthorship networks and research output," Working Papers 2018-28, Federal Reserve Bank of St. Louis.
    26. Wang, Yafeng & Graham, Brett, 2009. "Generalized Maximum Entropy estimation of discrete sequential move games of perfect information," MPRA Paper 21331, University Library of Munich, Germany.
    27. Davide Alonzo & Giovanni Gallipoli, 2023. "The Changing Value of Employment and Its Implications," Working Papers 2023-009, Human Capital and Economic Opportunity Working Group.
    28. Felix Tintelnot, 2013. "Global Production with Export Platforms," 2013 Meeting Papers 211, Society for Economic Dynamics.
    29. Kaiser, Ulrich & Mendez, Susan J. & Rønde, Thomas, 2010. "Regulation of pharmaceutical prices: Evidence from a reference price reform in Denmark," ZEW Discussion Papers 10-062, ZEW - Leibniz Centre for European Economic Research.
    30. Liang Chen & Eugene Choo & Alfred Galichon & Simon Weber, 2023. "Existence of a Competitive Equilibrium with Substitutes, with Applications to Matching and Discrete Choice Models," Papers 2309.11416, arXiv.org.
    31. Victor Aguirregabiria & Mathieu Marcoux, 2019. "Imposing equilibrium restrictions in the estimation of dynamic discrete games," Cahiers de recherche 2019-08, Universite de Montreal, Departement de sciences economiques.
    32. W. Ross Morrow & Steven J. Skerlos, 2011. "Fixed-Point Approaches to Computing Bertrand-Nash Equilibrium Prices Under Mixed-Logit Demand," Operations Research, INFORMS, vol. 59(2), pages 328-345, April.
    33. Arthur Charpentier & Romuald Elie & Carl Remlinger, 2020. "Reinforcement Learning in Economics and Finance," Papers 2003.10014, arXiv.org.
    34. Ron N. Borkovsky & Avi Goldfarb & Avery M. Haviv & Sridhar Moorthy, 2017. "Measuring and Understanding Brand Value in a Dynamic Model of Brand Management," Marketing Science, INFORMS, vol. 36(4), pages 471-499, July.
    35. Yashar Blouri & Maximilian von Ehrlich, 2017. "On the Optimal Design of Place-Based Policies: A Structural Evaluation of EU Regional Transfers," CESifo Working Paper Series 6742, CESifo.
    36. Simon Jäger & Jörg Heining, 2022. "How Substitutable Are Workers? Evidence from Worker Deaths," CESifo Working Paper Series 10126, CESifo.
    37. Jiawei Chen & Susanna Esteban & Matthew Shum, 2013. "When Do Secondary Markets Harm Firms?," American Economic Review, American Economic Association, vol. 103(7), pages 2911-2934, December.
    38. Andriy Norets, 2010. "Continuity and differentiability of expected value functions in dynamic discrete choice models," Quantitative Economics, Econometric Society, vol. 1(2), pages 305-322, November.
    39. Antrà s, Pol & de Gortari, Alonso, 2017. "On the Geography of Global Value Chains," CEPR Discussion Papers 12063, C.E.P.R. Discussion Papers.
    40. Brown, David P. & Eckert, Andrew, 2016. "Analyzing the Impact of Electricity Market Structure Changes and Mergers: The Importance of Forward Commitments," Working Papers 2016-8, University of Alberta, Department of Economics.
    41. Mei, Yuan, 2020. "Sustainable cooperation in international trade: A quantitative analysis," Journal of International Economics, Elsevier, vol. 123(C).
    42. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," Papers 2109.01725, arXiv.org, revised Sep 2021.
    43. Romahn, André & Friberg, Richard, 2012. "Ex-Post Merger Review and Divestitures," IESE Research Papers D/1056, IESE Business School.
    44. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    45. Victor Aguirregabiria & Victor Aguirregabiria & Aviv Nevo & Aviv Nevo, 2010. "Recent Developments in Empirical IO: Dynamic Demand and Dynamic Games," Working Papers tecipa-419, University of Toronto, Department of Economics.
    46. Daniel A. Ackerberg, 2001. "A New Use of Importance Sampling to Reduce Computational Burden in Simulation Estimation," NBER Technical Working Papers 0273, National Bureau of Economic Research, Inc.
    47. Isaiah Hull & Or Sattath & Eleni Diamanti & Göran Wendin, 2024. "Quantum Technology for Economists," Contributions to Economics, Springer, number 978-3-031-50780-9.
    48. Jinho Jung & Juan Sesmero & Ralph Siebert, 2020. "Spatial Differentiation and Market Power in Input Procurement: Evidence from a Structural Model of the Corn Market," CESifo Working Paper Series 8088, CESifo.
    49. Doug J. Chung & Kyoungwon Seo & Reo Song, 2023. "Efficient computation of discrete games: Estimating the effect of Apple on market structure," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2245-2263, July.
    50. Baiyu Dong & Yu-Wei Hsieh & Xing Zhang, 2022. "Implementing Maximum Likelihood Estimation of Empirical Matching Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 1-32, January.
    51. Ari Hyytinen & Frode Steen & Otto Toivanen, 2018. "Cartels Uncovered," American Economic Journal: Microeconomics, American Economic Association, vol. 10(4), pages 190-222, November.
    52. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    53. Haiyan Liu, 2016. "A Structural Model of Advertising Signaling and Social Learning: The Case of the Motion Picture Industry," Working Papers 0216, University of South Florida, Department of Economics.
    54. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2017. "Discretizing unobserved heterogeneity," IFS Working Papers W17/03, Institute for Fiscal Studies.
    55. Timothy P. Hubbard & Harry J. Paarsch, 2012. "On the Numerical Solution of Equilibria in Auction Models with Asymmetries within the Private-Values Paradigm," Carlo Alberto Notebooks 291, Collegio Carlo Alberto.
    56. Ralph Ossa, 2014. "Trade Wars and Trade Talks with Data," American Economic Review, American Economic Association, vol. 104(12), pages 4104-4146, December.
    57. Ryan Monarch, 2014. ""It's Not You, It's Me": Breakup In U.S.-China Trade Relationships," Working Papers 14-08, Center for Economic Studies, U.S. Census Bureau.
    58. Hubbard, Timothy P. & Paarsch, Harry J., 2009. "Investigating bid preferences at low-price, sealed-bid auctions with endogenous participation," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 1-14, January.
    59. Brian Adams & Kevin R. Williams, 2017. "Zone Pricing in Retail Oligopoly," Cowles Foundation Discussion Papers 2079R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2017.
    60. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust decision-making under risk and ambiguity," Papers 2104.12573, arXiv.org, revised Oct 2021.
    61. Navid Mojir & K. Sudhir, 2014. "Price Search Across Stores and Across Time," Cowles Foundation Discussion Papers 1942, Cowles Foundation for Research in Economics, Yale University, revised Mar 2016.
    62. Aryal, Gaurab & Gabrielli, Maria F., 2013. "Testing for collusion in asymmetric first-price auctions," International Journal of Industrial Organization, Elsevier, vol. 31(1), pages 26-35.
    63. Peter Arcidiacono & Patrick Bayer & Jason R. Blevins & Paul B. Ellickson, 2012. "Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition," NBER Working Papers 18449, National Bureau of Economic Research, Inc.
    64. Cheng Chou & Tim Derdenger & Vineet Kumar, 2019. "Linear Estimation of Aggregate Dynamic Discrete Demand for Durable Goods: Overcoming the Curse of Dimensionality," Marketing Science, INFORMS, vol. 38(5), pages 888-909, September.
    65. Patrick Bajari & Phoebe Chan & Dirk Krueger & Daniel Miller, 2010. "A Dynamic Model of Housing Demand: Estimation and Policy Implications," NBER Working Papers 15955, National Bureau of Economic Research, Inc.
    66. Ralph Ossa, 2015. "A Quantitative Analysis of Subsidy Competition in the U.S," NBER Working Papers 20975, National Bureau of Economic Research, Inc.
    67. Jean-Pierre Dubé & Xueming Luo & Zheng Fang, 2015. "Self-Signaling and Prosocial Behavior: a Cause Marketing Mobile Field Experiment," NBER Working Papers 21475, National Bureau of Economic Research, Inc.
    68. Erdmann, Anett, 2015. "The role of captive consumers in retailers' location choices," UC3M Working papers. Economics we1507, Universidad Carlos III de Madrid. Departamento de Economía.
    69. Sebastian Galiani & Juan Pantano, 2021. "Structural Models: Inception and Frontier," NBER Working Papers 28698, National Bureau of Economic Research, Inc.
    70. Fleten, Stein-Erik & Haugom, Erik & Pichler, Alois & Ullrich, Carl J., 2020. "Structural estimation of switching costs for peaking power plants," European Journal of Operational Research, Elsevier, vol. 285(1), pages 23-33.
    71. Jinhyuk Lee & Kyoungwon Seo, 2015. "A computationally fast estimator for random coefficients logit demand models using aggregate data," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 86-102, March.
    72. David C. Chan, 2018. "The Efficiency of Slacking off: Evidence From the Emergency Department," Econometrica, Econometric Society, vol. 86(3), pages 997-1030, May.
    73. Yao Luo & Peijun Sang, 2022. "Penalized Sieve Estimation of Structural Models," Papers 2204.13488, arXiv.org.
    74. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.
    75. Navid Mojir & K. Sudhir, 2014. "Price Search Across Time and Across Stores," Cowles Foundation Discussion Papers 1942R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2019.
    76. Panle Jia Barwick & Parag A. Pathak, 2011. "The Costs of Free Entry: An Empirical Study of Real Estate Agents in Greater Boston," NBER Working Papers 17227, National Bureau of Economic Research, Inc.
    77. Jaap H. Abbring & Jeffrey R. Campbell & Jan Tilly & Nan Yang, 2018. "Very Simple Markov-Perfect Industry Dynamics: Empirics," Working Paper Series WP-2018-17, Federal Reserve Bank of Chicago.
    78. Hui Li, 2019. "Intertemporal Price Discrimination with Complementary Products: E-Books and E-Readers," Management Science, INFORMS, vol. 67(6), pages 2665-2694, June.
    79. Joao Macieira & Pedro Pereira & Joao Vareda, 2013. "Bundling Incentives in Markets with Product Complementarities: The Case of Triple-Play," Working Papers 13-15, NET Institute.
    80. Bernard Salanié & Frank A. Wolak, 2019. "Fast, "Robust", and Approximately Correct: Estimating Mixed Demand Systems," NBER Working Papers 25726, National Bureau of Economic Research, Inc.
    81. Timothy P. Hubbard & Rene Kirkegaard, 2015. "Asymmetric Auctions with More Than Two Bidders," Working Papers 1502, University of Guelph, Department of Economics and Finance.
    82. Jean-Pierre H. Dubé & Jeremy T. Fox & Che-Lin Su, 2009. "Improving the Numerical Performance of BLP Static and Dynamic Discrete Choice Random Coefficients Demand Estimation," NBER Working Papers 14991, National Bureau of Economic Research, Inc.
    83. Victor Aguirregabiria & Gustavo Vicentini, 2012. "Dynamic Spatial Competition Between Multi-Store Firms," Working Papers tecipa-457, University of Toronto, Department of Economics.
    84. Paul S. Koh, 2022. "Estimating Discrete Games of Complete Information: Bringing Logit Back in the Game," Papers 2205.05002, arXiv.org, revised Jun 2022.
    85. Ben Deaner, 2020. "Approximation-Robust Inference in Dynamic Discrete Choice," Papers 2010.11482, arXiv.org.
    86. Jean-Pierre Dubé & Xueming Luo & Zheng Fang, 2017. "Self-Signaling and Prosocial Behavior: A Cause Marketing Experiment," Marketing Science, INFORMS, vol. 36(2), pages 140-156, March.
    87. Navid Mojir & K. Sudhir, 2021. "A Structural Model of Organizational Buying for B2B Markets: Innovation Adoption with Share of Wallet Contracts," Cowles Foundation Discussion Papers 2315, Cowles Foundation for Research in Economics, Yale University.
    88. John R. Birge & Ali Hortaçsu & J. Michael Pavlin, 2017. "Inverse Optimization for the Recovery of Market Structure from Market Outcomes: An Application to the MISO Electricity Market," Operations Research, INFORMS, vol. 65(4), pages 837-855, August.
    89. Yang, Anton C., 2020. "Structural Estimation of a Gravity Model of Trade with the Constant-Difference-of-Elasticities Preferences," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304636, Agricultural and Applied Economics Association.
    90. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
    91. Paul S. Koh, 2022. "Stable Outcomes and Information in Games: An Empirical Framework," Papers 2205.04990, arXiv.org, revised May 2023.
    92. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
    93. Zeynep Akşin & Barış Ata & Seyed Morteza Emadi & Che-Lin Su, 2013. "Structural Estimation of Callers' Delay Sensitivity in Call Centers," Management Science, INFORMS, vol. 59(12), pages 2727-2746, December.
    94. Carlos Perez Montes, 2012. "Regulatory bias in the price structure of local telephone services," Working Papers 1201, Banco de España.
    95. Linli Xu & Jorge M. Silva-Risso & Kenneth C. Wilbur, 2018. "Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples," Management Science, INFORMS, vol. 64(7), pages 3187-3207, July.
    96. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Estimation of Discrete Choice Dynamic Programming Models," The Japanese Economic Review, Japanese Economic Association, vol. 69(1), pages 28-58, March.
    97. Yizao Liu & Xuan Chen & Adam N. Rabinowitz & Benjamin Campbell, 2020. "Demand, challenges, and marketing strategies in the retail promotion of local brand milk," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 655-668, September.
    98. Sweeting, Andrew & Bhattacharya, Vivek, 2015. "Selective entry and auction design," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 189-207.
    99. Wonjun Chang & Michael C. Ferris & Youngdae Kim & Thomas F. Rutherford, 2020. "Solving Stochastic Dynamic Programming Problems: A Mixed Complementarity Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 925-955, March.
    100. Paulo Albuquerque & Yulia Nevskaya, 2022. "The Impact of New Content and User Community Membership on Usage of Online Games," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 9(1), pages 1-24, June.
    101. Koray Cosguner & Tat Y. Chan & P. B. (Seethu) Seetharaman, 2018. "Dynamic Pricing in a Distribution Channel in the Presence of Switching Costs," Management Science, INFORMS, vol. 64(3), pages 1212-1229, March.
    102. Simon Weber, 2017. "Family, marriage markets and inequality : a matching approach [Famille, marché du mariage et inégalités : l'approche par les modèles d'appariement]," SciencePo Working papers Main tel-03436364, HAL.
    103. Stein‐Erik Fleten, 2021. "Remarks on “Network Structure and Its Impact on Commodity Markets”," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4575-4576, December.
    104. Shijie Lu & Sha Yang, 2017. "Investigating the Spillover Effect of Keyword Market Entry in Sponsored Search Advertising," Marketing Science, INFORMS, vol. 36(6), pages 976-998, November.
    105. John R. Birge, 2021. "Network Structure and its Impact on Commodity Markets," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4568-4574, December.
    106. Haaf, C. Grace & Morrow, W. Ross & Azevedo, Inês M.L. & Feit, Elea McDonnell & Michalek, Jeremy J., 2016. "Forecasting light-duty vehicle demand using alternative-specific constants for endogeneity correction versus calibration," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 182-210.
    107. Xiaohong Chen & Matthew Gentry & Tong Li & Jingfeng Lu, 2020. "Identification and Inference in First-Price Auctions with Risk Averse Bidders and Selective Entry," Cowles Foundation Discussion Papers 2257, Cowles Foundation for Research in Economics, Yale University.
    108. Anita Rao, 2015. "Online Content Pricing: Purchase and Rental Markets," Marketing Science, INFORMS, vol. 34(3), pages 430-451, May.
    109. Maximilian Blesch & Philipp Eisenhauer, 2023. "Robust Decision-Making under Risk and Ambiguity," Rationality and Competition Discussion Paper Series 463, CRC TRR 190 Rationality and Competition.
    110. Mian Dai & Xun Tang, 2013. "Regulation and Capacity Competition in Health Care: Evidence from Dialysis Markets," PIER Working Paper Archive 13-057, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    111. Jinho Jung & Juan Sesmero & Ralph Siebert, 2022. "A structural estimation of spatial differentiation and market power in input procurement," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 613-644, March.
    112. Michael Pfaffermayr, 2020. "Constrained Poisson pseudo maximum likelihood estimation of structural gravity models," International Economics, CEPII research center, issue 161, pages 188-198.
    113. Sumon Datta & K. Sudhir, 2012. "Does Reducing Spatial Differentiation Increase Product Differentiation" Effects of Zoning on Retail Entry and Format Variety," Cowles Foundation Discussion Papers 1851, Cowles Foundation for Research in Economics, Yale University, revised Sep 2012.
    114. Ferrari, Alessandro & Ossa, Ralph, 2023. "A quantitative analysis of subsidy competition in the U.S," Journal of Public Economics, Elsevier, vol. 224(C).
    115. Abbring, Jaap & Campbell, J.R. & Tilly, J. & Yang, N., 2018. "Very Simple Markov-Perfect Industry Dynamics (revision of 2017-021) : Empirics," Other publications TiSEM 3a12f099-900b-44ac-b692-a, Tilburg University, School of Economics and Management.
    116. Jong-Shi Pang & Che-Lin Su & Yu-Ching Lee, 2015. "A Constructive Approach to Estimating Pure Characteristics Demand Models with Pricing," Operations Research, INFORMS, vol. 63(3), pages 639-659, June.
    117. Sumon Datta & K. Sudhir, 2013. "Does reducing spatial differentiation increase product differentiation? Effects of zoning on retail entry and format variety," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 83-116, March.
    118. Paul S. Koh, 2022. "Estimating Dynamic Games with Unknown Information Structure," Papers 2205.03706, arXiv.org, revised May 2022.
    119. Sumon Datta & K. Sudhir, 2023. "The Agglomeration-Differentiation Tradeoff in Spatial Location Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 10(1), pages 1-25, December.
    120. Thomas H. Jørgensen & Maxime Tô, 2020. "Robust Estimation of Finite Horizon Dynamic Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 499-509, February.
    121. Li, Shengyu, 2018. "A structural model of productivity, uncertain demand, and export dynamics," Journal of International Economics, Elsevier, vol. 115(C), pages 1-15.
    122. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
    123. Siliang Zeng & Mingyi Hong & Alfredo Garcia, 2022. "Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees," Papers 2210.01282, arXiv.org, revised Mar 2024.
    124. Yang Li & Brett R. Gordon & Oded Netzer, 2018. "An Empirical Study of National vs. Local Pricing by Chain Stores Under Competition," Marketing Science, INFORMS, vol. 37(5), pages 812-837, September.
    125. Ralph Ossa, 2016. "Quantitative Models of Commercial Policy," NBER Working Papers 22062, National Bureau of Economic Research, Inc.
    126. Hong, Han & Li, Huiyu & Li, Jessie, 2021. "BLP estimation using Laplace transformation and overlapping simulation draws," Journal of Econometrics, Elsevier, vol. 222(1), pages 56-72.
    127. Christopher Ferrall, 2023. "Was Harold Zurcher myopic after all? Replicating Rust's engine replacement estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 1093-1100, November.
    128. Andreas Tryphonides, 2017. "Conditional moment restrictions and the role of density information in estimated structural models," SFB 649 Discussion Papers SFB649DP2017-016, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    129. Yafeng Wang & Brett Graham, 2013. "Generalized Maximum Entropy Estimation of Discrete Sequential Move Games of Perfect Information," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    130. Pál, László & Sándor, Zsolt, 2023. "Comparing procedures for estimating random coefficient logit demand models with a special focus on obtaining global optima," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    131. Navid Mojir & K. Sudhir, 2014. "A Model of Multi-pass Search: Price Search across Stores and Time," Cowles Foundation Discussion Papers 1942R2, Cowles Foundation for Research in Economics, Yale University, revised Feb 2020.
    132. Nazgul Jenish, 2015. "Strategic Interaction Model with Censored Strategies," Econometrics, MDPI, vol. 3(2), pages 1-31, June.
    133. Guillaume R. Fréchette & Alessandro Lizzeri & Tobias Salz, 2018. "Frictions in a Competitive, Regulated Market: Evidence from Taxis," NBER Working Papers 24921, National Bureau of Economic Research, Inc.
    134. Jørgensen, Thomas H., 2013. "Structural estimation of continuous choice models: Evaluating the EGM and MPEC," Economics Letters, Elsevier, vol. 119(3), pages 287-290.
    135. Eggleston, Jonathan, 2016. "An efficient decomposition of the expectation of the maximum for the multivariate normal and related distributions," Journal of Econometrics, Elsevier, vol. 195(1), pages 120-133.
    136. Ruli Xiao, 2016. "Nonparametric Identification of Dynamic Games with Multiple Equilibria and Unobserved Heterogeneity," CAEPR Working Papers 2016-002, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    137. Konrad Menzel, 2021. "Central Limit Theory for Models of Strategic Network Formation," Papers 2111.01678, arXiv.org.
    138. Xing Zhang & Tat Y. Chan & Ying Xie, 2018. "Price Search and Periodic Price Discounts," Management Science, INFORMS, vol. 64(2), pages 495-510, February.
    139. Christopher Conlon & Jeff Gortmaker, 2020. "Best practices for differentiated products demand estimation with PyBLP," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1108-1161, December.
    140. Bond, Eric W. & Duan, Yuwan & Ji, Ting & Lu, Yi, 2023. "Trade and welfare effects of export tax: Theory and evidence from China's incomplete export VAT rebate," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 542-560.
    141. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust Decision-Making Under Risk and Ambiguity," ECONtribute Discussion Papers Series 104, University of Bonn and University of Cologne, Germany.
    142. Wang, Zi, 2021. "Headquarters gravity: How multinationals shape international trade," Journal of International Economics, Elsevier, vol. 131(C).
    143. Junpei Komiyama & Hajime Shimao, 2018. "Cross Validation Based Model Selection via Generalized Method of Moments," Papers 1807.06993, arXiv.org.
    144. Timothy Christensen & Benjamin Connault, 2023. "Counterfactual Sensitivity and Robustness," Econometrica, Econometric Society, vol. 91(1), pages 263-298, January.
    145. Alfred Galichon & Simon Weber, 2024. "Matching under Imperfectly Transferable Utility," Papers 2403.05222, arXiv.org.
    146. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
    147. Che-Lin Su, 2014. "Estimating discrete-choice games of incomplete information: Simple static examples," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 167-207, June.

  5. Christopher Armstrong & David Larcker & Che-Lin Su, 2007. "Stock Options and Chief Executive Compensation," Discussion Papers 1447, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Alex Edmans & Xavier Gabaix & Augustin Landier, 2007. "A Calibratable Model of Optimal CEO Incentives in Market Equilibrium," NBER Working Papers 13372, National Bureau of Economic Research, Inc.
    2. Baomin Dong & Guixia Guo & Frank Yong Wang, 2013. "Dynamic Moral Hazard and Executive Stock Options," Pacific Economic Review, Wiley Blackwell, vol. 18(2), pages 259-279, May.
    3. Ng, Lilian & Sibilkov, Valeriy & Wang, Qinghai & Zaiats, Nataliya, 2011. "Does shareholder approval requirement of equity compensation plans matter?," Journal of Corporate Finance, Elsevier, vol. 17(5), pages 1510-1530.
    4. Christopher S. Armstrong & David F. Larcker & Che-Lin Su, 2010. "Endogenous Selection and Moral Hazard in Compensation Contracts," Operations Research, INFORMS, vol. 58(4-part-2), pages 1090-1106, August.
    5. Ingolf Dittmann & Ko-Chia Yu & Dan Zhang, 2017. "How Important Are Risk-Taking Incentives in Executive Compensation?," Review of Finance, European Finance Association, vol. 21(5), pages 1805-1846.
    6. Phelim P. Boyle & Ranjini Jha & Shannon Kennedy & Weidong Tian, 2011. "Stock and Option Proportions in Executive Compensation," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 169-203.

  6. Che-Lin Su & Kenneth L. Judd, 2006. "Optimal Income Taxation with Multidimensional Taxpayer Types," Computing in Economics and Finance 2006 471, Society for Computational Economics.

    Cited by:

    1. Erwin Ooghe & Andreas Peichl, 2015. "Fair and Efficient Taxation under Partial Control," Economic Journal, Royal Economic Society, vol. 125(589), pages 2024-2051, December.
    2. Aspen Gorry & Ezra Oberfield, 2012. "Optimal Taxation Over the Life Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(4), pages 551-572, October.
    3. Mikhail Golosov & Aleh Tsyvinski & Iván Werning, 2007. "New Dynamic Public Finance: A User's Guide," NBER Chapters, in: NBER Macroeconomics Annual 2006, Volume 21, pages 317-388, National Bureau of Economic Research, Inc.
    4. Erwin OOGHE & Andreas PEICHL, 2010. "Fair and efficient taxation under partial control: theory and evidence," Working Papers of Department of Economics, Leuven ces10.32, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    5. Sanna Tenhunen & Matti Tuomala, 2007. "On optimal lifetime redistribution policy," Working Papers 0750, Tampere University, Faculty of Management and Business, Economics.
    6. Spencer Bastani & Sören Blomquist & Luca Micheletto, 2010. "The Welfare Gains of Age Related Optimal Income Taxation," CESifo Working Paper Series 3225, CESifo.
    7. Alexander Ludwig & Dirk Krueger, 2015. "Optimal Capital and Progressive Labor Income Taxation with Endogenous Schooling Decisions and Intergenerational Transfers," 2015 Meeting Papers 334, Society for Economic Dynamics.
    8. Mikhail Golosov & Maxim Troshkin & Aleh Tsyvinski & Matthew Weinzierl, 2010. "Preference Heterogeneity and Optimal Capital Income Taxation," NBER Working Papers 16619, National Bureau of Economic Research, Inc.
    9. Krueger, Dirk & Ludwig, Alexander, 2015. "On the optimal provision of social insurance," SAFE Working Paper Series 110 [rev.], Leibniz Institute for Financial Research SAFE, revised 2015.
    10. Krueger, Dirk & Ludwig, Alexander, 2016. "On the optimal provision of social insurance: Progressive taxation versus education subsidies in general equilibrium," Journal of Monetary Economics, Elsevier, vol. 77(C), pages 72-98.
    11. Golosov, Mikhail & Weinzierl, Matthew & Tsyvinsky, Aleh, 2010. "Preference heterogeneity and optimal capital taxation," LSE Research Online Documents on Economics 58180, London School of Economics and Political Science, LSE Library.
    12. N. Gregory Mankiw & Matthew C. Weinzierl & Danny Yagan, 2009. "Optimal Taxation in Theory and Practice," Harvard Business School Working Papers 09-140, Harvard Business School.
    13. Benjamin B. Lockwood & Matthew C. Weinzierl, 2012. "De Gustibus non est Taxandum: Heterogeneity in Preferences and Optimal Redistribution," NBER Working Papers 17784, National Bureau of Economic Research, Inc.
    14. Weinzierl, Matthew, 2014. "The promise of positive optimal taxation: normative diversity and a role for equal sacrifice," Journal of Public Economics, Elsevier, vol. 118(C), pages 128-142.
    15. Alexander Ludwig & Dirk Krueger, 2010. "Optimal Progressive Taxation and Education Subsidies in a Model of Endogenous Human Capital Formation," 2010 Meeting Papers 388, Society for Economic Dynamics.
    16. Lee, Kyung-woo, 2015. "Optimal disability insurance with unobservable skill heterogeneity," Journal of Public Economics, Elsevier, vol. 122(C), pages 94-109.
    17. Edyta Małecka-Ziembińska & Radosław Ziembiński, 2020. "Application of Genetic Algorithm to Optimal Income Taxation," JRFM, MDPI, vol. 13(11), pages 1-24, October.
    18. Matti Tuomala & Sanna Tenhunen, 2013. "On the design of an optimal non-linear tax/pension system with habit formation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(3), pages 485-512, June.
    19. Abuselidze, George, 2015. "Formation of Tax Policy in the Aspect of the Optimal Tax Burden," MPRA Paper 86277, University Library of Munich, Germany, revised 02 Jun 2015.

  7. Ken Judd & Che-Lin Su, 2006. "A New Optimization Approach to Maximum Likelihood Estimation of Structural Models," Computing in Economics and Finance 2006 472, Society for Computational Economics.

    Cited by:

    1. Sanjog Misra, 2013. "Markov chain Monte Carlo for incomplete information discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 117-153, March.

  8. Kenneth L. Judd & Che-Lin Su, 2005. "Computation of Moral-Hazard Problems," Computing in Economics and Finance 2005 411, Society for Computational Economics.

    Cited by:

    1. Rodrigo Nobre Fernandez & Helton Saulo & André Carraro & Fabricio Tourrucôo & Ronald Hillbrecht, 2018. "Public-Private Partnership Contractual Design: A Computational Model of the Moral Hazard with Lotteries," Public Organization Review, Springer, vol. 18(1), pages 39-51, March.

  9. Che-Lin Su, 2005. "A SNCP Method for Solving Equilibrium Problems with Equilibrium Constraints," Computing in Economics and Finance 2005 150, Society for Computational Economics.

    Cited by:

    1. Uday V. Shanbhag & Gerd Infanger & Peter W. Glynn, 2011. "A Complementarity Framework for Forward Contracting Under Uncertainty," Operations Research, INFORMS, vol. 59(4), pages 810-834, August.
    2. Feijoo, Felipe & Das, Tapas K., 2014. "Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks," Applied Energy, Elsevier, vol. 119(C), pages 371-383.
    3. Fernández, Mauricio & Muñoz, Francisco D. & Moreno, Rodrigo, 2020. "Analysis of imperfect competition in natural gas supply contracts for electric power generation: A closed-loop approach," Energy Economics, Elsevier, vol. 87(C).

Articles

  1. Cai, Yongyang & Judd, Kenneth L. & Lontzek, Thomas S. & Michelangeli, Valentina & Su, Che-Lin, 2017. "A Nonlinear Programming Method For Dynamic Programming," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 336-361, March.
    See citations under working paper version above.
  2. Zeynep Akşin & Baris Ata & Seyed Morteza Emadi & Che-Lin Su, 2017. "Impact of Delay Announcements in Call Centers: An Empirical Approach," Operations Research, INFORMS, vol. 65(1), pages 242-265, February.

    Cited by:

    1. Rouba Ibrahim & Mor Armony & Achal Bassamboo, 2017. "Does the Past Predict the Future? The Case of Delay Announcements in Service Systems," Management Science, INFORMS, vol. 63(6), pages 1762-1780, June.
    2. Sandeep Rath & Kumar Rajaram, 2022. "Staff Planning for Hospitals with Implicit Cost Estimation and Stochastic Optimization," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1271-1289, March.
    3. Necati Tereyağoğlu & Peter S. Fader & Senthil Veeraraghavan, 2018. "Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry," Management Science, INFORMS, vol. 64(1), pages 421-436, January.
    4. Yuan, Xuchuan & Brian Hwarng, H., 2023. "Examining the dynamics of reactive capacity allocation through a chaos lens," European Journal of Operational Research, Elsevier, vol. 308(2), pages 912-928.
    5. Bolandifar, Ehsan & DeHoratius, Nicole & Olsen, Tava, 2023. "Modeling abandonment behavior among patients," European Journal of Operational Research, Elsevier, vol. 306(1), pages 243-254.
    6. Baris Ata & Xiaoshan Peng, 2018. "An Equilibrium Analysis of a Multiclass Queue with Endogenous Abandonments in Heavy Traffic," Operations Research, INFORMS, vol. 66(1), pages 163-183, January.
    7. Baris Ata & Peter W. Glynn & Xiaoshan Peng, 2017. "An equilibrium analysis of a discrete-time Markovian queue with endogenous abandonments," Queueing Systems: Theory and Applications, Springer, vol. 86(1), pages 141-212, June.
    8. Barış Balcıog̃lu & Odysseas Kanavetas, 2022. "A dynamic prioritization policy for the callback option in a call center," Flexible Services and Manufacturing Journal, Springer, vol. 34(1), pages 40-64, March.

  3. Jong-Shi Pang & Che-Lin Su & Yu-Ching Lee, 2015. "A Constructive Approach to Estimating Pure Characteristics Demand Models with Pricing," Operations Research, INFORMS, vol. 63(3), pages 639-659, June.

    Cited by:

    1. Liang Chen & Eugene Choo & Alfred Galichon & Simon Weber, 2021. "Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation," Working Papers hal-03936296, HAL.
    2. Odran Bonnet & Alfred Galichon & Yu-Wei Hsieh & Keith O’Hara & Matt Shum, 2022. "Yogurts Choose Consumers? Estimation of Random-Utility Models via Two-Sided Matching [Unobserved Product Differentiation in Discrete-Choice Models: Estimating Price Elasticities and Welfare Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 3085-3114.
    3. Amitrajeet A. Batabyal & Hamid Beladi, 2016. "A Game Model of New and Remanufactured Goods, Brown and Green Consumers, and Market Share Dominance," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 345-354, December.
    4. Liang Chen & Eugene Choo & Alfred Galichon & Simon Weber, 2021. "Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation," Papers 2102.02071, arXiv.org, revised Sep 2023.
    5. Yan, Xiaoming & Zhao, Wenhan & Yu, Yugang, 2022. "Optimal product line design with reference price effects," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1045-1062.
    6. Liang Chen & Eugene Choo & Alfred Galichon & Simon Weber, 2021. "Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation," SciencePo Working papers Main hal-03936296, HAL.
    7. Alfred Galichon & Simon Weber, 2024. "Matching under Imperfectly Transferable Utility," Papers 2403.05222, arXiv.org.

  4. Michael Egesdal & Zhenyu Lai & Che‐Lin Su, 2015. "Estimating dynamic discrete‐choice games of incomplete information," Quantitative Economics, Econometric Society, vol. 6(3), pages 567-597, November.

    Cited by:

    1. Adam Dearing & Jason R. Blevins, 2019. "Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games," Papers 1912.10488, arXiv.org, revised Apr 2024.
    2. Victor Aguirregabiria & Mathieu Marcoux, 2019. "Imposing equilibrium restrictions in the estimation of dynamic discrete games," Cahiers de recherche 2019-08, Universite de Montreal, Departement de sciences economiques.
    3. Marleen Marra, 2019. "Pricing and Fees in Auction Platforms with Two-Sided Entry," Sciences Po Economics Discussion Papers 2020-02, Sciences Po Departement of Economics.
    4. Taisuke Otsu & Martin Pesendorfer, 2021. "Equilibrium multiplicity in dynamic games: testing and estimation," STICERD - Econometrics Paper Series 618, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    5. 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.
    6. 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.
    7. Michael W. Walrath, 2016. "Entry Models Applied to Churches: Could Protestants use a Catholic Bishop to Solve Excess Entry?," Journal of Industrial Economics, Wiley Blackwell, vol. 64(3), pages 557-588, September.
    8. Blevins, Jason R. & Kim, Minhae, 2024. "Nested Pseudo likelihood estimation of continuous-time dynamic discrete games," Journal of Econometrics, Elsevier, vol. 238(2).
    9. Chenyu Yang, 2020. "Vertical structure and innovation: A study of the SoC and smartphone industries," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 739-785, September.

  5. Che-Lin Su, 2014. "Estimating discrete-choice games of incomplete information: Simple static examples," Quantitative Marketing and Economics (QME), Springer, vol. 12(2), pages 167-207, June.

    Cited by:

    1. Victor Aguirregabiria & Mathieu Marcoux, 2019. "Imposing equilibrium restrictions in the estimation of dynamic discrete games," Cahiers de recherche 2019-08, Universite de Montreal, Departement de sciences economiques.
    2. Haiyan Liu, 2016. "A Structural Model of Advertising Signaling and Social Learning: The Case of the Motion Picture Industry," Working Papers 0216, University of South Florida, Department of Economics.
    3. Lorenzo Magnolfi & Camilla Roncoroni, 2023. "Estimation of Discrete Games with Weak Assumptions on Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 2006-2041.
    4. Jean-Pierre Dubé & Xueming Luo & Zheng Fang, 2015. "Self-Signaling and Prosocial Behavior: a Cause Marketing Mobile Field Experiment," NBER Working Papers 21475, National Bureau of Economic Research, Inc.
    5. Jean-Pierre Dubé & Xueming Luo & Zheng Fang, 2017. "Self-Signaling and Prosocial Behavior: A Cause Marketing Experiment," Marketing Science, INFORMS, vol. 36(2), pages 140-156, March.
    6. Michael W. Walrath, 2016. "Entry Models Applied to Churches: Could Protestants use a Catholic Bishop to Solve Excess Entry?," Journal of Industrial Economics, Wiley Blackwell, vol. 64(3), pages 557-588, September.
    7. 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.
    8. Magnolfi, Lorenzo & Roncoroni, Camilla, 2020. "Estimation of Discrete Games with Weak Assumptions on Information," The Warwick Economics Research Paper Series (TWERPS) 1247, University of Warwick, Department of Economics.

  6. Zeynep Akşin & Barış Ata & Seyed Morteza Emadi & Che-Lin Su, 2013. "Structural Estimation of Callers' Delay Sensitivity in Call Centers," Management Science, INFORMS, vol. 59(12), pages 2727-2746, December.

    Cited by:

    1. Rouba Ibrahim, 2018. "Sharing delay information in service systems: a literature survey," Queueing Systems: Theory and Applications, Springer, vol. 89(1), pages 49-79, June.
    2. Necati Tereyağoğlu & Peter S. Fader & Senthil Veeraraghavan, 2018. "Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry," Management Science, INFORMS, vol. 64(1), pages 421-436, January.
    3. Teck-Hua Ho & Noah Lim & Sadat Reza & Xiaoyu Xia, 2017. "OM Forum—Causal Inference Models in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 509-525, October.
    4. Zeynep Akşin & Baris Ata & Seyed Morteza Emadi & Che-Lin Su, 2017. "Impact of Delay Announcements in Call Centers: An Empirical Approach," Operations Research, INFORMS, vol. 65(1), pages 242-265, February.
    5. Bolandifar, Ehsan & DeHoratius, Nicole & Olsen, Tava, 2023. "Modeling abandonment behavior among patients," European Journal of Operational Research, Elsevier, vol. 306(1), pages 243-254.
    6. Sang Won Kim & Marcelo Olivares & Gabriel Y. Weintraub, 2014. "Measuring the Performance of Large-Scale Combinatorial Auctions: A Structural Estimation Approach," Management Science, INFORMS, vol. 60(5), pages 1180-1201, May.
    7. Shiliang Cui & Xuanming Su & Senthil Veeraraghavan, 2019. "A Model of Rational Retrials in Queues," Operations Research, INFORMS, vol. 67(6), pages 1699-1718, November.
    8. Kinshuk Jerath & Anuj Kumar & Serguei Netessine, 2015. "An Information Stock Model of Customer Behavior in Multichannel Customer Support Services," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 368-383, July.
    9. Antonis Economou, 2022. "How much information should be given to the strategic customers of a queueing system?," Queueing Systems: Theory and Applications, Springer, vol. 100(3), pages 421-423, April.
    10. Marshall Fisher & Marcelo Olivares & Bradley R. Staats, 2020. "Why Empirical Research Is Good for Operations Management, and What Is Good Empirical Operations Management?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 170-178, January.
    11. Tevfik Aktekin & Tahir Ekin, 2016. "Stochastic call center staffing with uncertain arrival, service and abandonment rates: A Bayesian perspective," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(6), pages 460-478, September.
    12. Yixin (Iris) Wang & Jun Li & Ravi Anupindi, 2023. "Manufacturing and Regulatory Barriers to Generic Drug Competition: A Structural Model Approach," Management Science, INFORMS, vol. 69(3), pages 1449-1467, March.
    13. Robert J. Batt & Christian Terwiesch, 2015. "Waiting Patiently: An Empirical Study of Queue Abandonment in an Emergency Department," Management Science, INFORMS, vol. 61(1), pages 39-59, January.
    14. Ekin, Tahir & Aktekin, Tevfik, 2021. "Decision making under uncertain and dependent system rates in service systems," European Journal of Operational Research, Elsevier, vol. 291(1), pages 335-348.
    15. Dennis J. Zhang & Gad Allon & Jan A. Van Mieghem, 2017. "Does Social Interaction Improve Learning Outcomes? Evidence from Field Experiments on Massive Open Online Courses," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 347-367, July.
    16. Baris Ata & Xiaoshan Peng, 2018. "An Equilibrium Analysis of a Multiclass Queue with Endogenous Abandonments in Heavy Traffic," Operations Research, INFORMS, vol. 66(1), pages 163-183, January.
    17. Kaan Kuzu & Refik Soyer, 2018. "Bayesian modeling of abandonments in ticket queues," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(6-7), pages 499-521, September.
    18. Brett Alan Hathaway & Seyed Morteza Emadi & Vinayak Deshpande, 2022. "Personalized Priority Policies in Call Centers Using Past Customer Interaction Information," Management Science, INFORMS, vol. 68(4), pages 2806-2823, April.
    19. Seyed Morteza Emadi & Bradley R. Staats, 2020. "A Structural Estimation Approach to Study Agent Attrition," Management Science, INFORMS, vol. 66(9), pages 4071-4095, September.
    20. Qiuping Yu & Gad Allon & Achal Bassamboo, 2021. "The Reference Effect of Delay Announcements: A Field Experiment," Management Science, INFORMS, vol. 67(12), pages 7417-7437, December.
    21. Zhaohui (Zoey) Jiang & Yan Huang & Damian R. Beil, 2022. "The Role of Feedback in Dynamic Crowdsourcing Contests: A Structural Empirical Analysis," Management Science, INFORMS, vol. 68(7), pages 4858-4877, July.
    22. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
    23. Baris Ata & Peter W. Glynn & Xiaoshan Peng, 2017. "An equilibrium analysis of a discrete-time Markovian queue with endogenous abandonments," Queueing Systems: Theory and Applications, Springer, vol. 86(1), pages 141-212, June.
    24. Zhongbin Wang & Luyi Yang & Shiliang Cui & Jinting Wang, 2021. "In-queue priority purchase: a dynamic game approach," Queueing Systems: Theory and Applications, Springer, vol. 97(3), pages 343-381, April.
    25. Christian Terwiesch & Marcelo Olivares & Bradley R. Staats & Vishal Gaur, 2020. "OM Forum—A Review of Empirical Operations Management over the Last Two Decades," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 656-668, July.
    26. Gad Allon & Georgios Askalidis & Randall Berry & Nicole Immorlica & Ken Moon & Amandeep Singh, 2022. "When to Be Agile: Ratings and Version Updates in Mobile Apps," Management Science, INFORMS, vol. 68(6), pages 4261-4278, June.
    27. Fabian Schéele & Darek M. Haftor & Natallia Pashkevich, 2022. "Predicting delays in service operations," Service Business, Springer;Pan-Pacific Business Association, vol. 16(2), pages 211-226, June.
    28. Ken Moon & Kostas Bimpikis & Haim Mendelson, 2018. "Randomized Markdowns and Online Monitoring," Management Science, INFORMS, vol. 64(3), pages 1271-1290, March.
    29. Yina Lu & Andrés Musalem & Marcelo Olivares & Ariel Schilkrut, 2013. "Measuring the Effect of Queues on Customer Purchases," Management Science, INFORMS, vol. 59(8), pages 1743-1763, August.
    30. Bharadwaj Kadiyala & Robert Phillips & A. Serdar Şimşek & Garrett van Ryzin, 2023. "Predicting transaction outcomes under customized pricing with discretion: A structural estimation approach," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1654-1673, June.
    31. Ken Moon & Patrick Bergemann & Daniel Brown & Andrew Chen & James Chu & Ellen A. Eisen & Gregory M. Fischer & Prashant Loyalka & Sungmin Rho & Joshua Cohen, 2023. "Manufacturing Productivity with Worker Turnover," Management Science, INFORMS, vol. 69(4), pages 1995-2015, April.

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