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Whose Voice Do We Hear in the Marketplace? Evidence from Consumer Complaining Behavior

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  • Devesh Raval

    (Bureau of Economics, Federal Trade Commission, Washington, District of Columbia 20580)

Abstract

Consumer voice has increasingly become a major factor in the marketplace through consumer complaints, but little is known about who chooses to complain and how complainants compare with consumers of the product. Any differences in complaint rates across groups can reflect either different propensities to complain or different consumer experiences, making it difficult to assess the degree of self-selection. I utilize a set of law enforcement actions to separate these two explanations by comparing characteristics of complaining consumers to those of victims, and I find much lower complaint rates in heavily minority areas compared with nonminority areas, relative to their respective victimization rates. I find evidence against information-based accounts for why victims from minority areas are less likely to complain and in favor of explanations related to lower levels of trust or general social capital. I then provide a statistical weighting approach to remedy the problem of self-selection and apply it to develop an implied victimization rate using complaints from the Consumer Sentinel database.

Suggested Citation

  • Devesh Raval, 2020. "Whose Voice Do We Hear in the Marketplace? Evidence from Consumer Complaining Behavior," Marketing Science, INFORMS, vol. 39(1), pages 168-187, January.
  • Handle: RePEc:inm:ormksc:v:39:y:2020:i:1:p:168-187
    DOI: 10.1287/mksc.2018.1140
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    References listed on IDEAS

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    1. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    2. Joshua S. Gans & Avi Goldfarb & Mara Lederman, 2021. "Exit, Tweets, and Loyalty," American Economic Journal: Microeconomics, American Economic Association, vol. 13(2), pages 68-112, May.
    3. Marcella Alsan & Crystal Yang, 2018. "Fear and the Safety Net: Evidence from Secure Communities," NBER Working Papers 24731, National Bureau of Economic Research, Inc.
    4. Oster, Sharon, 1980. "The Determinants of Consumer Complaints," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 603-609, November.
    5. Chris Nosko & Steven Tadelis, 2015. "The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment," NBER Working Papers 20830, National Bureau of Economic Research, Inc.
    6. Sterling A. Bone & Glenn L. Christensen & Jerome D. Williams, 2014. "Rejected, Shackled, and Alone: The Impact of Systemic Restricted Choice on Minority Consumers' Construction of Self," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(2), pages 451-474.
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    Cited by:

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    6. Andrew Sweeting & David J. Balan & Nicholas Kreisle & Matthew T. Panhans & Devesh Raval, 2020. "Economics at the FTC: Fertilizer, Consumer Complaints, and Private Label Cereal," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(4), pages 751-781, December.
    7. Wang, Yujie & Tsang, Albert & Xiang, Yi & Yan, Shuo, 2024. "How can regulators affect corporate social responsibility? Evidence from regulatory disclosures of consumer complaints in the U.S," The British Accounting Review, Elsevier, vol. 56(1).
    8. Johnen, Johannes & Ng, Robin, 2023. "Ratings and Reciprocity," LIDAM Discussion Papers CORE 2023006, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Arora, Swapan Deep & Chakraborty, Anirban, 2021. "Intellectual structure of consumer complaining behavior (CCB) research: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 122(C), pages 60-74.
    10. Emrah Oney & Iman Aghaei, 2024. "Consumer complaint intentions: the impact of general and specific self-confidence," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 390-410, June.
    11. Jeffrey D. Shulman & Olivier Toubia & Raena Saddler, 2023. "Editorial: Marketing’s Role in the Evolving Discipline of Product Management," Marketing Science, INFORMS, vol. 42(1), pages 1-5, January.

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