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Improving the Numerical Performance of Static and Dynamic Aggregate Discrete Choice Random Coefficients Demand Estimation

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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. Michael Cohen & Rui Huang, 2012. "Corporate Social Responsibility for Kids’ Sake: A Dynamic Model of Firm Participation," Working Papers 12, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
  3. Rebecca Cleary & Jean-Paul Chavas, 2022. "Strategic supermarket pricing of private labels and manufacturer brands," Empirical Economics, Springer, vol. 62(6), pages 2921-2950, June.
  4. Laura Grigolon, 2021. "Blurred boundaries: A flexible approach for segmentation applied to the car market," Quantitative Economics, Econometric Society, vol. 12(4), pages 1273-1305, November.
  5. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2017. "Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models," CeMMAP working papers 11/17, Institute for Fiscal Studies.
  6. Christopher Conlon & Julie Holland Mortimer, 2021. "Empirical properties of diversion ratios," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 693-726, December.
  7. Fabian Dunker & Stefan Hoderlein & Hiroaki Kaido, 2014. "Nonparametric Identification of Endogenous and Heterogeneous Aggregate Demand Models: Complements, Bundles and the Market Level," Boston University - Department of Economics - Working Papers Series 2014-005, Boston University - Department of Economics.
  8. Brett R. Gordon & Wesley R. Hartmann, 2013. "Advertising Effects in Presidential Elections," Marketing Science, INFORMS, vol. 32(1), pages 19-35, June.
  9. Eugenio J. Miravete & Katja Seim & Jeff Thurk, 2020. "One Markup to Rule Them All: Taxation by Liquor Pricing Regulation," American Economic Journal: Microeconomics, American Economic Association, vol. 12(1), pages 1-41, February.
  10. Juan Esteban Carranza & Alejandra Ximena González, 2014. "Estimación de la demanda de vehículos nuevos de los hogares colombianos entre 2001 y 2011," Borradores de Economia 11570, Banco de la Republica.
  11. Xiong, Siqin & Yuan, Yi & Yao, Jia & Bai, Bo & Ma, Xiaoming, 2023. "Exploring consumer preferences for electric vehicles based on the random coefficient logit model," Energy, Elsevier, vol. 263(PA).
  12. Eugenio J. Miravete & Katja Seim & Jeff Thurk, 2018. "Market Power and the Laffer Curve," Econometrica, Econometric Society, vol. 86(5), pages 1651-1687, September.
  13. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
  14. Freyberger, Joachim, 2015. "Asymptotic theory for differentiated products demand models with many markets," Journal of Econometrics, Elsevier, vol. 185(1), pages 162-181.
  15. Kristensen, Dennis & Salanié, Bernard, 2017. "Higher-order properties of approximate estimators," Journal of Econometrics, Elsevier, vol. 198(2), pages 189-208.
  16. Li, Xun & Lopez, Rigoberto A., 2015. "Energy Price Transmission and Retail Milk Prices," Working Papers 38, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
  17. 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.
  18. Catherine Haeck & Nicholas Lawson & Krystel Poirier, 2022. "Estimating consumer preferences for different beverages using the BLP approach," Working Papers 22-01, Research Group on Human Capital, University of Quebec in Montreal's School of Management.
  19. Rancière, Romain & Ouazad, Amine, 2015. "Structural Demand Estimation with Borrowing Constraints," CEPR Discussion Papers 10866, C.E.P.R. Discussion Papers.
  20. Mogens Fosgerau & Julien Monardo & André de Palma, 2019. "The Inverse Product Differentiation Logit Model," Working Papers hal-02183411, HAL.
  21. 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.
  22. Greg Lewis & Bora Ozaltun & Georgios Zervas, 2021. "Maximum Likelihood Estimation of Differentiated Products Demand Systems," Papers 2111.12397, arXiv.org.
  23. Andrew Chia, 2021. "Automatically Differentiable Random Coefficient Logistic Demand Estimation," Papers 2106.04636, arXiv.org.
  24. Cohen, Michael & Huang, Rui, 2012. "Corporate Social Responsibility for Kids’ Sake: A Dynamic Model of Firm Participation," Working Paper series 148347, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
  25. Moon, Hyungsik Roger & Shum, Matthew & Weidner, Martin, 2018. "Estimation of random coefficients logit demand models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 613-644.
  26. Jeff Thurk, 2015. "Measuring the Unequal Implications of One Size Fits All Regulation," 2015 Meeting Papers 1251, Society for Economic Dynamics.
  27. Felix Tintelnot, 2017. "Global Production with Export Platforms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 157-209.
  28. Huang Dongling & Rojas Christian, 2014. "Eliminating the Outside Good Bias in Logit Models of Demand with Aggregate Data," Review of Marketing Science, De Gruyter, vol. 12(1), pages 1-36, January.
  29. Kaiser, Ulrich & Mendez, Susan J. & Rønde, Thomas & Ullrich, Hannes, 2014. "Regulation of pharmaceutical prices: Evidence from a reference price reform in Denmark," Journal of Health Economics, Elsevier, vol. 36(C), pages 174-187.
  30. Miravete, Eugenio & Seim, Katja & Thurk, Jeff, 2013. "Complexity, Efficiency, and Fairness of Multi-Product Monopoly Pricing," CEPR Discussion Papers 9641, C.E.P.R. Discussion Papers.
  31. David P. Byrne & Susumu Imai & Neelam Jain & Vasilis Sarafidis & Masayuki Hirukawa, 2019. "Identification and Estimation of Differentiated Products Models," Monash Econometrics and Business Statistics Working Papers 33/19, Monash University, Department of Econometrics and Business Statistics.
  32. Joonhwi Joo & Ali Hortacsu, 2016. "Semiparametric estimation of CES demand system with observed and unobserved product characteristics," 2016 Meeting Papers 36, Society for Economic Dynamics.
  33. Ohashi, Hiroshi & Toyama, Yuta, 2017. "The effects of domestic merger on exports: A case study of the 1998 Korean automobile industry," Journal of International Economics, Elsevier, vol. 107(C), pages 147-164.
  34. Xavier D’Haultfœuille & Isis Durrmeyer & Philippe Février, 2019. "Automobile Prices in Market Equilibrium with Unobserved Price Discrimination," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 1973-1998.
  35. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
  36. 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.
  37. Naoshi Doi, 2022. "Choice of Policy Instruments with Endogenous Quality: Per‐Passenger and Per‐Flight Airport Charges in Japan," Journal of Industrial Economics, Wiley Blackwell, vol. 70(1), pages 44-88, March.
  38. Haeck, Catherine & Lawson, Nicholas & Poirier, Krystel, 2022. "Estimating consumer preferences for different beverages using the BLP approach," Economics & Human Biology, Elsevier, vol. 46(C).
  39. Liang Chen & Eugene Choo & Alfred Galichon & Simon Weber, 2021. "Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation," Working Papers hal-03936296, HAL.
  40. Hayashida, K., 2018. "Bargaining Power between Food Processors and Retailers: Evidence from Japanese Milk Transactions," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277730, International Association of Agricultural Economists.
  41. Timothy B. Armstrong & Michal Kolesár, 2021. "Sensitivity analysis using approximate moment condition models," Quantitative Economics, Econometric Society, vol. 12(1), pages 77-108, January.
  42. Romahn, André & Friberg, Richard, 2012. "Ex-Post Merger Review and Divestitures," IESE Research Papers D/1056, IESE Business School.
  43. 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.
  44. Daniel Chaves, 2022. "Market Power, Taxation and Product Variety in the Brazilian Automobile Industry," University of Western Ontario, Departmental Research Report Series 20227, University of Western Ontario, Department of Economics.
  45. Zhu, Chen & Lopez, Rigoberto A. & Liu, Xiaoou, 2019. "Consumer responses to front-of-package labeling in the presence of information spillovers," Food Policy, Elsevier, vol. 86(C), pages 1-1.
  46. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," Cowles Foundation Discussion Papers 2301, Cowles Foundation for Research in Economics, Yale University.
  47. 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.
  48. 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.
  49. Stépahne Auray & Nicolas Lepage-Saucier & Purevdorj Tuvaandor, 2018. "Doubly Robust GMM Inference and Differentiated Products Demand Models," Working Papers 2018-13, Center for Research in Economics and Statistics.
  50. 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.
  51. Miravete, Eugenio J. & Seim, Katja & Thurk, Jeff, 2023. "Pass-through and tax incidence in differentiated product markets," International Journal of Industrial Organization, Elsevier, vol. 90(C).
  52. David P. Byrne, 2015. "Testing Models Of Differentiated Products Markets: Consolidation In The Cable Tv Industry," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(3), pages 805-850, August.
  53. 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.
  54. Salanié, Bernard & Wolak, Frank, 2018. "Fast, “Robust†, and Approximately Correct: Estimating Mixed Demand Systems," CEPR Discussion Papers 13236, C.E.P.R. Discussion Papers.
  55. Byrne, David P. & Imai, Susumu & Jain, Neelam & Sarafidis, Vasilis, 2022. "Instrument-free identification and estimation of differentiated products models using cost data," Journal of Econometrics, Elsevier, vol. 228(2), pages 278-301.
  56. 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.
  57. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Working Papers 2020-13, Becker Friedman Institute for Research In Economics.
  58. Ketz, Philipp, 2019. "On asymptotic size distortions in the random coefficients logit model," Journal of Econometrics, Elsevier, vol. 212(2), pages 413-432.
  59. 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.
  60. 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.
  61. Yiyi Zhou, 2017. "Bayesian Estimation of a Dynamic Model of Two-Sided Markets: Application to the U.S. Video Game Industry," Management Science, INFORMS, vol. 63(11), pages 3874-3894, November.
  62. Kandelhardt, Johannes, 2023. "Flexible estimation of random coefficient logit models of differentiated product demand," DICE Discussion Papers 399, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  63. Panle Jia Barwick & Shengmao Cao & Shanjun Li, 2021. "Local Protectionism, Market Structure, and Social Welfare: China's Automobile Market," American Economic Journal: Economic Policy, American Economic Association, vol. 13(4), pages 112-151, November.
  64. Alessandro Iaria, & Wang, Ao, 2021. "An Empirical Model of Quantity Discounts with Large Choice Sets," The Warwick Economics Research Paper Series (TWERPS) 1378, University of Warwick, Department of Economics.
  65. Byrne, D. P. & Imai, S. & Jain, N. & Sarafidis, V. & Hirukawa, M., 2020. "Identification and Estimation of Differentiated Products Models using Cost Data," Working Papers 15/05, Department of Economics, City University London.
  66. Krasnokutskaya, Elena & Song, Kyungchul & Tang, Xun, 2022. "Estimating unobserved individual heterogeneity using pairwise comparisons," Journal of Econometrics, Elsevier, vol. 226(2), pages 477-497.
  67. Adalja, Aaron A., 2022. "Voluntary Quality Disclosure in Credence Good Markets," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322570, Agricultural and Applied Economics Association.
  68. 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.
  69. 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.
  70. Carlos Noton & Andrés Elberg, 2013. "Revealing Bargaining Power through Actual Wholesale Prices," Documentos de Trabajo 304, Centro de Economía Aplicada, Universidad de Chile.
  71. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," NBER Working Papers 26795, National Bureau of Economic Research, Inc.
  72. Paul S. Koh, 2022. "Estimating Discrete Games of Complete Information: Bringing Logit Back in the Game," Papers 2205.05002, arXiv.org, revised Jun 2022.
  73. Yan Liu & Venkatesh Shankar, 2015. "The Dynamic Impact of Product-Harm Crises on Brand Preference and Advertising Effectiveness: An Empirical Analysis of the Automobile Industry," Management Science, INFORMS, vol. 61(10), pages 2514-2535, October.
  74. 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.
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  77. Verboven, Frank & Bourreau, Marc & Sun, Yutec, 2018. "Market Entry, Fighting Brands and Tacit Collusion: The Case of the French Mobile Telecommunications Market," CEPR Discussion Papers 12866, C.E.P.R. Discussion Papers.
  78. 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.
  79. Doi, Naoshi & Ohashi, Hiroshi, 2019. "Market structure and product quality: A study of the 2002 Japanese airline merger," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 158-193.
  80. Badruddoza, Syed & Amin, Modhurima & McCluskey, Jill, 2019. "Assessing the Importance of an Attribute in a Demand SystemStructural Model versus Machine Learning," Working Papers 2019-5, School of Economic Sciences, Washington State University.
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