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Pennies for Your Thoughts: Costly Product Consideration and Purchase Quantity Thresholds

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  • Yufeng Huang

    (Simon Business School, University of Rochester, Rochester, New York 14627)

  • Bart J. Bronnenberg

    (Graduate School of Business, Stanford University, Stanford, California 94305; Centre for Economic Policy Research, London EC1V 0DX, United Kingdom)

Abstract

Individual demand for consumer packaged goods shows discrete jumps between zero and large quantities, under a marginal change in price. Ruling out multiple alternative explanations, this paper provides evidence from microdata in the yogurt category that these jumps are caused by consumer fixed purchasing costs per product. We formulate and estimate a model in which (1) such fixed costs limit the number of different products considered and (2) consumers use prices to screen a product in and out of their consideration set. Our structural estimation finds that the consumer incurs fixed costs of $0.81 to consider a product. These costs are increased by 280% if she has not purchased the product for a year and are decreased by 59% when the product is featured in the store; the dependence of fixed costs on information shifters suggests that these costs are incurred because of consideration. Consideration being scarce at the shelf, firms compete fiercely for customers: We simulate counterfactual markups in a world full of feature advertising and find that firms enjoy higher equilibrium markups because the provision of information softens competition for consideration.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ormksc:v:37:y:2018:i:6:p:1009-1028
    DOI: 10.1287/mksc.2018.1108
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    References listed on IDEAS

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    Cited by:

    1. Victor H. Aguiar & Maria Jose Boccardi & Nail Kashaev & Jeongbin Kim, 2023. "Random utility and limited consideration," Quantitative Economics, Econometric Society, vol. 14(1), pages 71-116, January.
    2. Xinyu Cao & Juanjuan Zhang, 2021. "Preference Learning and Demand Forecast," Marketing Science, INFORMS, vol. 40(1), pages 62-79, January.
    3. Klein, Tobias & Bronnenberg, Bart & Xu, Yan, 2018. "Consumer Time Budgets and Grocery Shopping Behavior," CEPR Discussion Papers 13302, C.E.P.R. Discussion Papers.
    4. Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
    5. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
    6. Kohei Kawaguchi & Kosuke Uetake & Yasutora Watanabe, 2021. "Designing Context-Based Marketing: Product Recommendations Under Time Pressure," Management Science, INFORMS, vol. 67(9), pages 5642-5659, September.

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