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When Harry Bet with Sally: An Empirical Analysis of Multiple Peer Effects in Casino Gambling Behavior

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  • Hee Mok Park

    (School of Business, University of Connecticut, Storrs, Connecticut 06269)

  • Puneet Manchanda

    (Stephen M. Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

Abstract

In many consumption settings (e.g., restaurants), individuals consume products either alone or with their peers (e.g., friends). In this study, we propose a general framework for modeling peer effects by including two new peer effects: the exogenous peer effect (exogenous factors that could change the peer’s behavior) and the peer presence effect (when the peer is present but not consuming). We also include the well known endogenous peer effect. We develop an empirical model that allows us to identify all three effects simultaneously and apply the model to behavioral data from a casino setting. It is a simultaneous equation model with the structural parameters expressed as a function of the ratio of the reduced form parameters. This necessitates the use of the Minimum Expected Loss approach, allowing us to obtain consistent estimates at the individual level. Our data comprise detailed gambling activity for a panel of individuals at a single casino over a two-year period. Our results show that all three types of peer effects exist. These effects vary across individuals and exhibit considerable asymmetry within pairs of peers. We discuss how our results can help managers allocate resources more effectively and policy makers formulate regulatory guidelines with more complete information.

Suggested Citation

  • Hee Mok Park & Puneet Manchanda, 2015. "When Harry Bet with Sally: An Empirical Analysis of Multiple Peer Effects in Casino Gambling Behavior," Marketing Science, INFORMS, vol. 34(2), pages 179-194, March.
    • Handle: RePEc:inm:ormksc:v:34:y:2015:i:2:p:179-194
    DOI: 10.1287/mksc.2014.0889
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    References listed on IDEAS

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    1. Liu, Zhuping & Duan, Jason A & Mahajan, Vijay, 2020. "Dynamics and peer effects of brand revenue in college sports," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 756-771.
    2. Diptiman Banerji & Ramendra Singh & Prashant Mishra, 2020. "Friendships in marketing: a taxonomy and future research directions," AMS Review, Springer;Academy of Marketing Science, vol. 10(3), pages 223-243, December.
    3. Mithila Guha & Daniel Korschun, 2024. "Peer effects on brand activism: evidence from brand and user chatter on Twitter," Journal of Brand Management, Palgrave Macmillan, vol. 31(2), pages 153-167, March.
    4. Hee Mok Park & Joseph Pancras, 2022. "Social and Spatiotemporal Impacts of Casino Jackpot Events," Marketing Science, INFORMS, vol. 41(3), pages 575-592, May.
    5. Belén Pérez-Sánchez & Martín González & Carmen Perea & Jose J. López-Espín, 2021. "A New Computational Method for Estimating Simultaneous Equations Models Using Entropy as a Parameter Criteria," Mathematics, MDPI, vol. 9(7), pages 1-9, March.

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