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The impact of search costs on consumer behavior: A dynamic approach

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Cited by:

  1. 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.
  2. Mantian (Mandy) Hu & Chu (Ivy) Dang & Pradeep K. Chintagunta, 2019. "Search and Learning at a Daily Deals Website," Marketing Science, INFORMS, vol. 38(4), pages 609-642, July.
  3. Charles Murry & Yiyi Zhou, 2020. "Consumer Search and Automobile Dealer Colocation," Management Science, INFORMS, vol. 66(5), pages 1909-1934, May.
  4. Takeshi Fukasawa, 2022. "The Biases in Applying Static Demand Models under Dynamic Demand," Discussion Paper Series DP2022-18, Research Institute for Economics & Business Administration, Kobe University, revised Jul 2022.
  5. Ilya Morozov & Stephan Seiler & Xiaojing Dong & Liwen Hou, 2021. "Estimation of Preference Heterogeneity in Markets with Costly Search," Marketing Science, INFORMS, vol. 40(5), pages 871-899, September.
  6. Mika Kortelainen & Jibonayan Raychaudhuri & Beatrice Roussillon, 2016. "Effects Of Carbon Reduction Labels: Evidence From Scanner Data," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1167-1187, April.
  7. José Luis Moraga-González & Zsolt Sándor & Matthijs R Wildenbeest, 2023. "Consumer Search and Prices in the Automobile Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(3), pages 1394-1440.
  8. Février, Philippe & Wilner, Lionel, 2016. "Do consumers correctly expect price reductions? Testing dynamic behavior," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 25-40.
  9. Gerpott, Torsten J. & Ahmadi, Nima, 2015. "Determinants of willingness to look for separate international roaming services—An empirical study of mobile communication customers in Germany," International Journal of Information Management, Elsevier, vol. 35(2), pages 192-203.
  10. Andrés Elberg & Pedro M. Gardete & Rosario Macera & Carlos Noton, 2019. "Dynamic effects of price promotions: field evidence, consumer search, and supply-side implications," Quantitative Marketing and Economics (QME), Springer, vol. 17(1), pages 1-58, March.
  11. Maican, Florin & Orth, Matilda, 2018. "Inventory Behavior, Demand, and Productivity in Retail," CEPR Discussion Papers 13308, C.E.P.R. Discussion Papers.
  12. 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.
  13. Kris Johnson Ferreira & Joel Goh, 2021. "Assortment Rotation and the Value of Concealment," Management Science, INFORMS, vol. 67(3), pages 1489-1507, March.
  14. Ken Moon & Kostas Bimpikis & Haim Mendelson, 2018. "Randomized Markdowns and Online Monitoring," Management Science, INFORMS, vol. 64(3), pages 1271-1290, March.
  15. Sofronis Clerides & Pascal Courty & Yupei Ma, 2023. "Store expensiveness and consumer saving: Insights from a new decomposition of price dispersion," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 65-94, March.
  16. Anocha Aribarg & Thomas Otter & Daniel Zantedeschi & Greg M. Allenby & Taylor Bentley & David J. Curry & Marc Dotson & Ty Henderson & Elisabeth Honka & Rajeev Kohli & Kamel Jedidi & Stephan Seiler & X, 2018. "Advancing Non-compensatory Choice Models in Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 82-92, March.
  17. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
  18. Ching, Andrew T. & Erdem, Tülin & Keane, Michael P., 2014. "A simple method to estimate the roles of learning, inventories and category consideration in consumer choice," Journal of choice modelling, Elsevier, vol. 13(C), pages 60-72.
  19. 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.
  20. Yufeng Huang & Bart J. Bronnenberg, 2018. "Pennies for Your Thoughts: Costly Product Consideration and Purchase Quantity Thresholds," Marketing Science, INFORMS, vol. 37(6), pages 1009-1028, November.
  21. Anna Lu, 2017. "Consumer Stockpiling and Sales Promotions," Discussion Papers of DIW Berlin 1680, DIW Berlin, German Institute for Economic Research.
  22. Przemysław Jeziorski & Elena Krasnokutskaya & Olivia Ceccarini, 2019. "Skimming from the Bottom: Empirical Evidence of Adverse Selection When Poaching Customers," Marketing Science, INFORMS, vol. 38(4), pages 543-566, July.
  23. Yan Liu & Subramanian Balachander, 2014. "How long has it been since the last deal? Consumer promotion timing expectations and promotional response," Quantitative Marketing and Economics (QME), Springer, vol. 12(1), pages 85-126, March.
  24. Dubois, Pierre & Perrone, Helena, 2015. "Price Dispersion and Informational Frictions: Evidence from Supermarket Purchases," CEPR Discussion Papers 10906, C.E.P.R. Discussion Papers.
  25. Pesendorfer, Martin & Gentry, Matthew, 2018. "Price Reference Effects in Consumer Demand," CEPR Discussion Papers 13382, C.E.P.R. Discussion Papers.
  26. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
  27. Maican, Florin & Orth, Matilda, 2021. "Determinants of economies of scope in retail," International Journal of Industrial Organization, Elsevier, vol. 75(C).
  28. Nelson Borges Amaral & Bin Chang & Rachel Burns, 2022. "Understanding consumer stockpiling: Insights provided during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 211-236, March.
  29. 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.
  30. Helmers, Christian & Krishnan, Pramila & Patnam, Manasa, 2019. "Attention and saliency on the internet: Evidence from an online recommendation system," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 216-242.
  31. Fabio Pinna & Stephan Seiler, 2014. "Consumer Search: Evidence from Path-tracking Data," CEP Discussion Papers dp1296, Centre for Economic Performance, LSE.
  32. Tiago Pires, 2016. "Costly search and consideration sets in storable goods markets," Quantitative Marketing and Economics (QME), Springer, vol. 14(3), pages 157-193, September.
  33. Arun Gopalakrishnan & Young-Hoon Park, 2021. "The Impact of Coupons on the Visit-to-Purchase Funnel," Marketing Science, INFORMS, vol. 40(1), pages 48-61, January.
  34. Federico Rossi & Pradeep K. Chintagunta, 2018. "Price Uncertainty and Market Power in Retail Gasoline: The Case of an Italian Highway," Marketing Science, INFORMS, vol. 37(5), pages 753-770, September.
  35. Takeshi Fukasawa, 2024. "The Biases in Applying Static Demand Models Under Dynamic Demand," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 65(2), pages 561-594, September.
  36. Shrihari Sridhar & Eric Fang, 2019. "New vistas for marketing strategy: digital, data-rich, and developing market (D3) environments," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 977-985, November.
  37. Anna Lu, 2017. "Inference of Consumer Consideration Sets," Discussion Papers of DIW Berlin 1681, DIW Berlin, German Institute for Economic Research.
  38. Hämäläinen, Saara, 2022. "Multiproduct search obfuscation," International Journal of Industrial Organization, Elsevier, vol. 85(C).
  39. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2020. "How much do consumers know about the quality of products? Evidence from the diaper market," The Japanese Economic Review, Springer, vol. 71(4), pages 541-569, October.
  40. Xiao Liu, 2023. "Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to Livestream Shopping," Marketing Science, INFORMS, vol. 42(4), pages 637-658, July.
  41. Raluca Ursu & Stephan Seiler & Elisabeth Honka, 2023. "The Sequential Search Model: A Framework for Empirical Research," CESifo Working Paper Series 10264, CESifo.
  42. 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.
  43. Aditya Jain & Sanjog Misra & Nils Rudi, 2020. "The Effect of Sales Assistance on Purchase Decisions: An analysis using retail video data," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 273-303, September.
  44. Daria Dzyabura & John R. Hauser, 2019. "Recommending Products When Consumers Learn Their Preference Weights," Marketing Science, INFORMS, vol. 38(3), pages 417-441, May.
  45. Pinna, Fabio & Seiler, Stephan, 2014. "Consumer search: evidence from path-tracking data," LSE Research Online Documents on Economics 60447, London School of Economics and Political Science, LSE Library.
  46. David P. Byrne & Nicolas de Roos, 2014. "Search and Stockpiling in Retail Gasoline Markets," Department of Economics - Working Papers Series 1181, The University of Melbourne.
  47. Elisabeth Honka, 2014. "Quantifying search and switching costs in the US auto insurance industry," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 847-884, December.
  48. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
  49. Stephan Seiler & Fabio Pinna, 2017. "Estimating Search Benefits from Path-Tracking Data: Measurement and Determinants," Marketing Science, INFORMS, vol. 36(4), pages 565-589, July.
  50. Martin Gaynor & Carol Propper & Stephan Seiler, 2016. "Free to Choose? Reform, Choice, and Consideration Sets in the English National Health Service," American Economic Review, American Economic Association, vol. 106(11), pages 3521-3557, November.
  51. Andrew T. Ching & Matthew Osborne, 2020. "Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling," Marketing Science, INFORMS, vol. 39(4), pages 707-726, July.
  52. 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.
  53. Thomas Blake & Chris Nosko & Steven Tadelis, 2016. "Returns to Consumer Search: Evidence from eBay," NBER Working Papers 22302, National Bureau of Economic Research, Inc.
  54. Hana Choi & Carl F. Mela, 2019. "Monetizing Online Marketplaces," Marketing Science, INFORMS, vol. 38(6), pages 948-972, November.
  55. 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.
  56. De los Santos, Babur, 2018. "Consumer search on the Internet," International Journal of Industrial Organization, Elsevier, vol. 58(C), pages 66-105.
  57. Kohei Kawaguchi & Kosuke Uetake & Yasutora Watanabe, 2019. "Effectiveness of Product Recommendations Under Time and Crowd Pressures," Marketing Science, INFORMS, vol. 38(2), pages 253-273, March.
  58. Minjung Kwon & Tülin Erdem & Masakazu Ishihara, 2023. "Counter-cyclical price promotion: Capturing seasonal changes in stockpiling and endogenous consumption," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 437-492, December.
  59. 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.
  60. Pedro M. Gardete & Carlos D. Santos, 2020. "No data? No problem! A Search-based Recommendation System with Cold Starts," Papers 2010.03455, arXiv.org.
  61. repec:cup:judgdm:v:13:y:2018:i:5:p:484-500 is not listed on IDEAS
  62. Bryan K. Bollinger & Wesley R. Hartmann, 2020. "Information vs. Automation and Implications for Dynamic Pricing," Management Science, INFORMS, vol. 66(1), pages 290-314, January.
  63. Elisabeth Honka & Pradeep Chintagunta, 2017. "Simultaneous or Sequential? Search Strategies in the U.S. Auto Insurance Industry," Marketing Science, INFORMS, vol. 36(1), pages 21-42, January.
  64. Xulia González & Daniel Miles-Touya, 2018. "Price dispersion, chain heterogeneity, and search in online grocery markets," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(1), pages 115-139, March.
  65. Raluca M. Ursu & Qianyun Zhang & Elisabeth Honka, 2023. "Search Gaps and Consumer Fatigue," Marketing Science, INFORMS, vol. 42(1), pages 110-136, January.
  66. Huang, Yufeng, 2015. "Empirical analysis of consumer behavior," Other publications TiSEM 9cc96a79-43d7-436d-87d3-3, Tilburg University, School of Economics and Management.
  67. Mateusz Mysliwski & Fabio M. Sanches & Daniel Silva Junior & Sorawoot Srisuma, 2020. "The Welfare Effects of Promotional Fees," CeMMAP working papers CWP35/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  68. Jia Liu & Olivier Toubia, 2020. "Search query formation by strategic consumers," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 155-194, June.
  69. Raluca M. Ursu & Qingliang Wang & Pradeep K. Chintagunta, 2020. "Search Duration," Marketing Science, INFORMS, vol. 39(5), pages 849-871, September.
  70. Han Qiu, 2018. "An Inattention Model for Traveler Behavior with e-Coupons," Papers 1901.05070, arXiv.org.
  71. Avery Haviv, 2022. "Consumer Search, Price Promotions, and Counter-Cyclic Pricing," Marketing Science, INFORMS, vol. 41(2), pages 294-314, March.
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