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Che-Lin Su

Personal Details

This person is deceased (Date: 31 Jul 2015)
First Name:Che-Lin
Middle Name:
Last Name:Su
Suffix:
RePEc Short-ID:psu460
Terminal Degree: Graduate School of Business; Stanford University (from RePEc Genealogy)

Research output

as
Jump to: Working papers Articles

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

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(02), pages 336-361, March.
  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.
  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.
  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.
  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.
  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.
  7. Che‐Lin Su & Kenneth L. Judd, 2012. "Constrained Optimization Approaches to Estimation of Structural Models," Econometrica, Econometric Society, vol. 80(5), pages 2213-2230, September.
  8. Jean‐Pierre Dubé & Jeremy T. Fox & Che‐Lin Su, 2012. "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation," Econometrica, Econometric Society, vol. 80(5), pages 2231-2267, September.
  9. T. Kuo & C. Lin & C. Su & C. Liu & C. Lin & C. Chang & C. Chiang, 2011. "Correlating recurrent radon precursors with local earthquake magnitude and crust strain near the Chihshang fault of eastern Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(2), pages 861-869, November.
  10. 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.

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. 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. 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.

  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. 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.
    3. 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.
    4. Christopher R. Knittel & Konstantinos Metaxoglou, 2011. "Challenges in Merger Simulation Analysis," American Economic Review, American Economic Association, vol. 101(3), pages 56-59, May.
    5. Grigolon, Laura & Verboven, Frank, 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.
    6. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.
    7. 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.
    8. 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.
    9. 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.
    10. Panle Jia Barwick & Parag A. Pathak, 2015. "The costs of free entry: an empirical study of real estate agents in Greater Boston," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 103-145, March.

  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. Aguirregabiria, Victor & Nevo, Aviv, 2010. "Recent developments in empirical IO: dynamic demand and dynamic games," MPRA Paper 27814, University Library of Munich, Germany.
    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. 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.
    8. Borowczyk-Martins, Daniel & Bradley, Jake & Tarasonis, Linas, 2017. "Racial discrimination in the U.S. labor market: Employment and wage differentials by skill," Labour Economics, Elsevier, vol. 49(C), pages 106-127.
    9. Balistreri, Edward J. & Hillberry, Russell H. & Rutherford, Thomas F., 2011. "Structural estimation and solution of international trade models with heterogeneous firms," Journal of International Economics, Elsevier, vol. 83(2), pages 95-108, March.
    10. Freyberger, Joachim, 2015. "Asymptotic theory for differentiated products demand models with many markets," Journal of Econometrics, Elsevier, vol. 185(1), pages 162-181.
    11. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 343-376, December.
    12. Sweeting, Andrew & Bhattacharya, Vivek, 2015. "Selective entry and auction design," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 189-207.
    13. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data methods for dynamic heterogeneous agent models," CeMMAP working papers CWP51/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    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. Costas Meghir & Steven Rivkin, 2010. "Econometric methods for research in education," IFS Working Papers W10/10, Institute for Fiscal Studies.
    16. 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).
    17. 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(02), pages 336-361, March.
    18. 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.
    19. Thibaut Lamadon & Elena Manresa & Stephane Bonhomme, 2016. "Discretizing Unobserved Heterogeneity," 2016 Meeting Papers 1536, Society for Economic Dynamics.
    20. Marc Rysman & Gautam Gowrisankaran, 2011. "Dynamics of Consumer Demand for New Durable Goods," Boston University - Department of Economics - Working Papers Series WP2011-062, Boston University - Department of Economics.
    21. 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.
    22. Felix Tintelnot, 2013. "Global Production with Export Platforms," 2013 Meeting Papers 211, Society for Economic Dynamics.
    23. 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.
    24. 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 - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    25. 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.
    26. Yashar Blouri, Maximilian v. Ehrlich, 2017. "On the optimal design of place-based policies: A structural evaluation of EU regional transfers," Diskussionsschriften dp1702, Universitaet Bern, Departement Volkswirtschaft.
    27. 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.
    28. 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.
    29. 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.
    30. Ralph Ossa, 2016. "Quantitative Models of Commercial Policy," NBER Working Papers 22062, National Bureau of Economic Research, Inc.
    31. 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.
    32. Ralph Ossa, 2015. "A Quantitative Analysis of Subsidy Competition in the U.S," 2015 Meeting Papers 1107, Society for Economic Dynamics.
    33. 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.
    34. Ralph Ossa, 2014. "Trade Wars and Trade Talks with Data," American Economic Review, American Economic Association, vol. 104(12), pages 4104-4146, December.
    35. 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.
    36. Nazgul Jenish, 2015. "Strategic Interaction Model with Censored Strategies," Econometrics, MDPI, Open Access Journal, vol. 3(2), pages 1-31, June.
    37. Kristensen, Dennis & Salanié, Bernard, 2017. "Higher-order properties of approximate estimators," Journal of Econometrics, Elsevier, vol. 198(2), pages 189-208.
    38. 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.
    39. Aguirregabiria, Victor & Vicentini, Gustavo, 2014. "Dynamic Spatial Competition Between Multi-Store Firms," CEPR Discussion Papers 10273, C.E.P.R. Discussion Papers.
    40. Jørgensen, Thomas H., 2013. "Structural estimation of continuous choice models: Evaluating the EGM and MPEC," Economics Letters, Elsevier, vol. 119(3), pages 287-290.
    41. 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.
    42. 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.
    43. David Albouy & Bryan Stuart, 2017. "Urban Population and Amenities: The Neoclassical Model of Location," Working Papers 2017-23, The George Washington University, Institute for International Economic Policy.
    44. 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.
    45. Ruli Xiao, 2016. "Nonparametric Identification of Dynamic Games with Multiple Equilibria and Unobserved Heterogeneity," Caepr Working Papers 2016-002 Classification-C, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    46. 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.
    47. Panle Jia Barwick & Parag A. Pathak, 2015. "The costs of free entry: an empirical study of real estate agents in Greater Boston," RAND Journal of Economics, RAND Corporation, vol. 46(1), pages 103-145, March.
    48. 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.
    49. Macieira, João & Pereira, Pedro & Vareda, João, 2014. "Bundling incentives in markets with product complementarities: The case of triple-play," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106843, International Telecommunications Society (ITS).
    50. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.
    51. Frechette, Guilaume & Lizzeri, Alessandro & Salz, Tobias, 2016. "Frictions in a Competitive, Regulated Market Evidence from Taxis," CEPR Discussion Papers 11626, C.E.P.R. Discussion Papers.
    52. 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.
    53. 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. 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.
    2. 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.
    3. Ingolf Dittmann & Ko-Chia Yu, 2009. "How Important Are Risk-Taking Incentives in Executive Compensation?," Tinbergen Institute Discussion Papers 09-076/2, Tinbergen Institute.

  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, 2010. "Fair and efficient taxation under partial control: theory and evidence," Working Papers Department of Economics ces10.32, KU Leuven, Faculty of Economics and Business, Department of Economics.
    2. Golosov, Mikhail & Weinzierl, Matthew & Tayvinski, Aleh, 2010. "Preference heterogeneity and optimal capital income taxation," LSE Research Online Documents on Economics 58179, London School of Economics and Political Science, LSE Library.
    3. Lockwood, Benjamin B. & Weinzierl, Matthew, 2015. "De Gustibus non est Taxandum: Heterogeneity in preferences and optimal redistribution," Journal of Public Economics, Elsevier, vol. 124(C), pages 74-80.
    4. 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.
    5. Krueger, Dirk & Ludwig, Alexander, 2015. "On the optimal provision of social insurance," SAFE Working Paper Series 110 [rev.], Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    6. 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.
    7. 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.
    8. 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.
    9. Lee, Kyung-woo, 2015. "Optimal disability insurance with unobservable skill heterogeneity," Journal of Public Economics, Elsevier, vol. 122(C), pages 94-109.
    10. 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.
    11. George Abuselidze, 2013. "Optimal Tax Policy - Financial Crisis Overcoming Factor," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(11), pages 1451-1459, November.

  7. 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.

  8. 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. 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.

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(02), 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. 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.

  3. 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. 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.

  4. 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. 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.
    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.

  5. 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. 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.

  6. Che‐Lin Su & Kenneth L. Judd, 2012. "Constrained Optimization Approaches to Estimation of Structural Models," Econometrica, Econometric Society, vol. 80(5), pages 2213-2230, September.
    See citations under working paper version above.
  7. Jean‐Pierre Dubé & Jeremy T. Fox & Che‐Lin Su, 2012. "Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation," Econometrica, Econometric Society, vol. 80(5), pages 2231-2267, September.

    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. Laura Grigolon, 2017. "Blurred boundaries: a flexible approach for segmentation applied to the car market," Department of Economics Working Papers 2017-17, McMaster University.
    3. Li, Xun & Lopez, Rigoberto A., 2015. "Energy Price Transmission and Retail Milk Prices," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205318, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    4. Amine Ouazad & Romain Rancière, 2015. "Structural Demand Estimation with Borrowing Constraints," Working Papers halshs-01207997, HAL.
    5. 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.
    6. Doi, Naoshi & Ohashi, Hiroshi, 2017. "Empirical analysis of the national treatment obligation under the WTO: The case of Japanese shochu," Journal of the Japanese and International Economies, Elsevier, vol. 46(C), pages 43-52.
    7. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, Oxford University Press, vol. 132(4), pages 1553-1592.
    8. Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017. "Tests for qualitative features in the random coefficients model," Papers 1704.01066, arXiv.org, revised Mar 2018.
    9. 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.
    10. 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 - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    11. Lixiong Li, 2018. "A General Method for Demand Inversion," Papers 1802.04444, arXiv.org, revised Feb 2018.
    12. Brownstone, David & Li, Phillip, 2018. "A model for broad choice data," Journal of choice modelling, Elsevier, vol. 27(C), pages 19-36.
    13. Jose A. Guajardo & Morris A. Cohen & Serguei Netessine, 2016. "Service Competition and Product Quality in the U.S. Automobile Industry," Management Science, INFORMS, vol. 62(7), pages 1860-1877, July.
    14. Kim Kyoo il & Petrin Amil, 2015. "Tests for Price Endogeneity in Differentiated Product Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-23, January.
    15. Ouazad, Amine & Rancière, Romain, 2015. "Structural Demand Estimation with Borrowing Constraints," CEPR Discussion Papers 10866, C.E.P.R. Discussion Papers.
    16. Yoshifumi Konishi & Meng Zhao, 2017. "Can Green Car Taxes Restore Efficiency? Evidence from the Japanese New Car Market," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(1), pages 51-87.
    17. Ferreyra, Maria Marta & Kosenok, Grigory, 2018. "Charter school entry and school choice: The case of Washington, D.C," Journal of Public Economics, Elsevier, vol. 159(C), pages 160-182.
    18. Friberg, Richard & Romahn, André, 2015. "Divestiture requirements as a tool for competition policy: A case from the Swedish beer market," International Journal of Industrial Organization, Elsevier, vol. 42(C), pages 1-18.
    19. David P. Byrne & Susumu Imai & Vasilis Sarafidis, 2015. "Instrument-free Identifcation and Estimation of the Diferentiated Products Models," Department of Economics - Working Papers Series 1198, The University of Melbourne.
    20. 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.
    21. Zhen, Chen & Brissette, Ian & Ruff, Ryan, 2013. "By Ounce or By Calorie: The Different Effects of Alternative Sugar-Sweetened Beverage Tax Strategies," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150194, Agricultural and Applied Economics Association.
    22. David Byrne & Susumu Imai & Vasilis Sarafidis & Masayuki Hirukawa, 2015. "Instrument-free Identification and Estimation of Differentiated Products Models," Working Papers 1336, Queen's University, Department of Economics.
    23. Kristensen, Dennis & Salanié, Bernard, 2017. "Higher-order properties of approximate estimators," Journal of Econometrics, Elsevier, vol. 198(2), pages 189-208.
    24. Panle Jia Barwick & Shengmao Cao & Shanjun Li, 2017. "Local Protectionism, Market Structure, and Social Welfare: China's Automobile Market," NBER Working Papers 23678, National Bureau of Economic Research, Inc.
    25. Macieira, João & Pereira, Pedro & Vareda, João, 2014. "Bundling incentives in markets with product complementarities: The case of triple-play," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106843, International Telecommunications Society (ITS).
    26. Lee, Jinhyuk & Seo, Kyoungwon, 2016. "Revisiting the nested fixed-point algorithm in BLP random coefficients demand estimation," Economics Letters, Elsevier, vol. 149(C), pages 67-70.
    27. Alcobendas, Miguel-Angel, 2014. "Airline–airport agreements in the San Francisco Bay Area: Effects on airline behavior and congestion at airports," Economics of Transportation, Elsevier, vol. 3(1), pages 58-79.
    28. Carlos Noton & Andrés Elberg, 2013. "Revealing Bargaining Power through Actual Wholesale Prices," Documentos de Trabajo 304, Centro de Economía Aplicada, Universidad de Chile.
    29. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers CWP11/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    30. Malina, Christiane, 2016. "The environmental impact of vehicle circulation tax reform in Germany," CAWM Discussion Papers 86, University of Münster, Center of Applied Economic Research Münster (CAWM).

  8. 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.
    See citations under working paper version above.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BEC: Business Economics (2) 2007-08-18 2010-06-04
  2. NEP-CMP: Computational Economics (2) 2005-11-19 2010-06-04
  3. NEP-ECM: Econometrics (2) 2008-03-25 2009-05-23
  4. NEP-ORE: Operations Research (2) 2008-03-25 2013-05-19
  5. NEP-CTA: Contract Theory & Applications (1) 2010-06-04
  6. NEP-DCM: Discrete Choice Models (1) 2009-05-23
  7. NEP-DGE: Dynamic General Equilibrium (1) 2013-05-19
  8. NEP-PBE: Public Economics (1) 2006-07-15
  9. NEP-PUB: Public Finance (1) 2006-07-15

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