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Consumer Search and Prices in the Automobile Market

Citations

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Cited by:

  1. Dan Yavorsky & Elisabeth Honka & Keith Chen, 2021. "Consumer search in the U.S. auto industry: The role of dealership visits," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 1-52, March.
  2. Tinghan Zhang, 2025. "Estimating Sequential Search Models Based on a Partial Ranking Representation," Papers 2501.07514, arXiv.org, revised Jan 2025.
  3. Kinneret Teodorescu & Ke Sang & Peter M. Todd, 2018. "Post-decision search in repeated and variable environments," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(5), pages 484-500, September.
  4. Haan, Marco A. & Moraga-González, José L. & Petrikaitė, Vaiva, 2018. "A model of directed consumer search," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 223-255.
  5. Timothy J. Richards & Stephen F. Hamilton & Koichi Yonezawa, 2017. "Variety and the Cost of Search in Supermarket Retailing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(3), pages 263-285, May.
  6. Javier Donna & Andre Trindade & Pedro Pereira & Tiago Pires, 2018. "Measuring the Welfare of Intermediation in Vertical Markets," 2018 Meeting Papers 984, Society for Economic Dynamics.
  7. Bronnenberg, Bart & Dube, Jean-Pierre, 2016. "The Formation of Consumer Brand Preferences," CEPR Discussion Papers 11648, C.E.P.R. Discussion Papers.
  8. Raluca M. Ursu & Qingliang Wang & Pradeep K. Chintagunta, 2020. "Search Duration," Marketing Science, INFORMS, vol. 39(5), pages 849-871, September.
  9. De los Santos, Babur, 2018. "Consumer search on the Internet," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 66-105.
  10. Matthew Jones & Bruce Kobayashi & Jason O’Connor, 2018. "Economics at the FTC: Non-price Merger Effects and Deceptive Automobile Ads," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(4), pages 593-614, December.
  11. Martin Obradovits & Philipp Plaickner, 2020. "Price-Directed Search and Collusion," Working Papers 2020-24, Faculty of Economics and Statistics, Universität Innsbruck.
  12. Charles Murry & Yiyi Zhou, 2020. "Consumer Search and Automobile Dealer Colocation," Management Science, INFORMS, vol. 66(5), pages 1909-1934, May.
  13. Xu, Jiayi & Zhang, Xiao-Bing & Liu, Yang, 2024. "Asymmetric search behavior for gasoline prices: Evidence from the Chinese gasoline market," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 699-712.
  14. Turlo, Sergey & Fina, Matteo & Kasinger, Johannes & Laghaie, Arash & Otter, Thomas, 2025. "Discrete choice in marketing through the lens of rational inattention," Other publications TiSEM 24894409-70a9-4920-9d3c-b, Tilburg University, School of Economics and Management.
  15. Petrikaitė, Vaiva, 2016. "Collusion with costly consumer search," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 1-10.
  16. Bart J. Bronnenberg & Jun B. Kim & Carl F. Mela, 2016. "Zooming In on Choice: How Do Consumers Search for Cameras Online?," Marketing Science, INFORMS, vol. 35(5), pages 693-712, September.
  17. Griffith, Rachel & Crawford, Gregory & Iaria, Alessandro, 2016. "Preference Estimation with Unobserved Choice Set Heterogeneity using Sufficient Sets," CEPR Discussion Papers 11675, C.E.P.R. Discussion Papers.
  18. Donna, Javier D. & Pereira, Pedro & Pires, Tiago & Trindade, Andre, 2018. "Measuring the Welfare of Intermediaries in Vertical Markets," MPRA Paper 90465, University Library of Munich, Germany.
  19. Yuxin Chen & Song Yao, 2017. "Sequential Search with Refinement: Model and Application with Click-Stream Data," Management Science, INFORMS, vol. 63(12), pages 4345-4365, December.
  20. Javier D. Donna & Pedro Pereira & Tiago Pires & André Trindade, 2022. "Measuring the Welfare of Intermediaries," Management Science, INFORMS, vol. 68(11), pages 8083-8115, November.
  21. Georg von Graevenitz & Christian Helmers & Valentine Millot & Oliver Turnbull, 2016. "Does Online Search Predict Sales? Evidence from Big Data for Car Markets in Germany and the UK," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2016-07, Centre for Competition Policy, University of East Anglia, Norwich, UK..
  22. Chalil, Tengku Munawar & Dahana, Wirawan Dony & Baumann, Chris, 2020. "How do search ads induce and accelerate conversion? The moderating role of transaction experience and organizational type," Journal of Business Research, Elsevier, vol. 116(C), pages 324-336.
  23. Matsumoto, Brett & Spence, Forrest, 2016. "Price beliefs and experience: Do consumers’ beliefs converge to empirical distributions with repeated purchases?," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 243-254.
  24. Honka, Elisabeth & Seiler, Stephan & Ursu, Raluca, 2024. "Consumer search: What can we learn from pre-purchase data?," Journal of Retailing, Elsevier, vol. 100(1), pages 114-129.
  25. José L Moraga-González & Zsolt Sándor & Matthijs R Wildenbeest, 2021. "Simultaneous Search for Differentiated Products: The Impact of Search Costs and Firm Prominence," The Economic Journal, Royal Economic Society, vol. 131(635), pages 1308-1330.
  26. Robert Donnelly & Ayush Kanodia & Ilya Morozov, 2024. "Welfare Effects of Personalized Rankings," Marketing Science, INFORMS, vol. 43(1), pages 92-113, January.
  27. Bart J. Bronnenberg & Jean-Pierre H. Dubé, 2016. "The Formation of Consumer Brand Preferences," NBER Working Papers 22691, National Bureau of Economic Research, Inc.
  28. Pires, Tiago, 2018. "Measuring the effects of search costs on equilibrium prices and profits," International Journal of Industrial Organization, Elsevier, vol. 60(C), pages 179-205.
  29. Jun B. Kim & Paulo Albuquerque & Bart J. Bronnenberg, 2017. "The Probit Choice Model Under Sequential Search with an Application to Online Retailing," Management Science, INFORMS, vol. 63(11), pages 3911-3929, November.
  30. repec:cup:judgdm:v:13:y:2018:i:5:p:484-500 is not listed on IDEAS
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