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Consumer Responses to Favorite Product Removal: Evidence from Beverage Vending Machines

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  • Ching, Andrew
  • Kawaguchi, Kohei
  • Liu, Jia
  • Yi, Zhang

Abstract

How do consumers react when their favorite product is removed? This paper sheds light on this question by using a novel dataset of vending machine purchases in Japanese train stations and a synthetic difference-in-differences approach. We find that for regular consumers, the removal of their favorite product would lead them to reduce their purchases in their favorite vending machine; however, we also find that it has no impact on their overall purchases at their favorite station. Our micro-level data show that some consumers stay with their favorite machine and buy something else; among those who leave their favorite machine, a large proportion of them are willing to visit other machines. We hypothesize that variety-seeking tendency may explain such heterogeneous consumer responses. Using four different measures of variety-seeking, we show that high variety-seeking consumers tend to stay with their favorite machine, and low variety-seeking consumers are more likely to visit other machines to try to find their favorite product.

Suggested Citation

  • Ching, Andrew & Kawaguchi, Kohei & Liu, Jia & Yi, Zhang, 2023. "Consumer Responses to Favorite Product Removal: Evidence from Beverage Vending Machines," SocArXiv t34qj, Center for Open Science.
  • Handle: RePEc:osf:socarx:t34qj
    DOI: 10.31219/osf.io/t34qj
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    1. Eric J. Johnson & Wendy W. Moe & Peter S. Fader & Steven Bellman & Gerald L. Lohse, 2004. "On the Depth and Dynamics of Online Search Behavior," Management Science, INFORMS, vol. 50(3), pages 299-308, March.
    2. Igal Hendel & Aviv Nevo, 2006. "Sales and consumer inventory," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 543-561, September.
    3. Ravi Anupindi & Maqbool Dada & Sachin Gupta, 1998. "Estimation of Consumer Demand with Stock-Out Based Substitution: An Application to Vending Machine Products," Marketing Science, INFORMS, vol. 17(4), pages 406-423.
    4. Christopher T. Conlon & Julie Holland Mortimer, 2013. "Demand Estimation under Incomplete Product Availability," American Economic Journal: Microeconomics, American Economic Association, vol. 5(4), pages 1-30, November.
    5. Kohei Kawaguchi, 2021. "When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business," Management Science, INFORMS, vol. 67(3), pages 1670-1695, March.
    6. 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.
    7. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    8. Igal Hendel & Aviv Nevo, 2006. "Measuring the Implications of Sales and Consumer Inventory Behavior," Econometrica, Econometric Society, vol. 74(6), pages 1637-1673, November.
    9. Babur De Los Santos & Ali Hortacsu & Matthijs R. Wildenbeest, 2012. "Testing Models of Consumer Search Using Data on Web Browsing and Purchasing Behavior," American Economic Review, American Economic Association, vol. 102(6), pages 2955-2980, October.
    10. Darlene C. Chisholm & George Norman, 2006. "When to Exit a Product: Evidence from the U. S. Motion-Picture Exhibition Market," American Economic Review, American Economic Association, vol. 96(2), pages 57-61, May.
    11. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    12. Günter J. Hitsch, 2006. "An Empirical Model of Optimal Dynamic Product Launch and Exit Under Demand Uncertainty," Marketing Science, INFORMS, vol. 25(1), pages 25-50, 01-02.
    13. 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.
    14. 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.
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