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Costly search and consideration sets in storable goods markets

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  • Tiago Pires

    (University of North Carolina)

Abstract

Costly search can result in consumers restricting their attention to a subset of products–the consideration set–before making a final purchase decision. The search process is usually not observed, which creates econometric challenges. I show that inventory and the availability of different package sizes create new sources of variation to identify search costs in storable goods markets. To evaluate the importance of costly search in these markets, I estimate a dynamic choice model with search frictions using data on purchases of laundry detergent. My estimates show that consumers incur significant search costs, and ignoring costly search overestimates the own-price elasticity for products more often present in consideration sets and underestimates the elasticity of frequently excluded products. Firms employ marketing devices, such as product displays and advertising, to influence consideration sets. These devices have direct and strategic effects, which I explore using the estimates of the model. I find that using marketing devices to reduce a product’s search cost during a price promotion has modest effects on the overall category revenues, and decreases the revenues of some products.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:qmktec:v:14:y:2016:i:3:d:10.1007_s11129-016-9169-2
    DOI: 10.1007/s11129-016-9169-2
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Michael R. Galbreth & Bikram Ghosh, 2020. "The effect of exogenous product familiarity on endogenous consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 195-235, June.
    5. Kazuko Kano, 2018. "Consumer Inventory and Demand for Storable Goods: New Evidence from a Consumer Survey," The Japanese Economic Review, Springer, vol. 69(3), pages 284-305, September.
    6. 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.
    7. 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.
    8. Anna Lu, 2017. "Consumer Stockpiling and Sales Promotions," Discussion Papers of DIW Berlin 1680, DIW Berlin, German Institute for Economic Research.
    9. Johannes Johnen & David Ronayne, 2021. "The only Dance in Town: Unique Equilibrium in a Generalized Model of Price Competition," Journal of Industrial Economics, Wiley Blackwell, vol. 69(3), pages 595-614, September.
    10. Soetevent, Adriaan R., 2021. "I’d Like to Move It! Consumption Rivalry in the EV Public Charging Market: Demand Estimation with Deterministic Choice Set Variation," EconStor Preprints 228520, ZBW - Leibniz Information Centre for Economics.
    11. Pilli, Luis & Swait, Joffre & Mazzon, José Afonso, 2022. "Jeopardizing brand profitability by misattributing process heterogeneity to preference heterogeneity," Journal of choice modelling, Elsevier, vol. 43(C).
    12. 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.
    13. Yi-Lin Tsai & Elisabeth Honka, 2021. "Informational and Noninformational Advertising Content," Marketing Science, INFORMS, vol. 40(6), pages 1030-1058, November.
    14. Fabio Antoniou & Raffaele Fiocco, 2023. "Storable Good Market With Intertemporal Cost Variations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(1), pages 361-385, February.
    15. Fernando Luco & Guillermo Marshall, 2021. "Diagnosing Anticompetitive Effects of Vertical Integration by Multiproduct Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 59(2), pages 381-392, September.
    16. Maarten Janssen & Edona Reshidi, 2023. "Discriminatory Trade Promotions in Consumer Search Markets," Marketing Science, INFORMS, vol. 42(2), pages 401-422, March.
    17. Kazuko Kano, 2018. "Consumer Inventory and Demand for Storable Goods: New Evidence from a Consumer Survey," The Japanese Economic Review, Japanese Economic Association, vol. 69(3), pages 284-305, September.
    18. 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.
    19. 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.
    20. repec:cpr:ceprdp:14514 is not listed on IDEAS
    21. 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.
    22. 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.
    23. David Ronayne, 2020. "The Only Dance in Town: Unique Equilibrium in a Generalized Model of Price Competition," Economics Series Working Papers 874, University of Oxford, Department of Economics.
    24. Salvo, Alberto, 2018. "Flexible fuel vehicles, less flexible minded consumers: Price information experiments at the pump," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 194-221.
    25. 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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    More about this item

    Keywords

    Search costs; Consideration set; Information; Storable goods; Dynamic discrete-choice models;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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