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The effects of removing gender-based price discrimination on movie demand: Estimates using smartphone location data

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  • Jiang, Yaxi

Abstract

Since 2021, an increasing number of movie complex firms in Japan have eliminated long-standing gender-based price discrimination by replacing discounts for only women with discounts for all customers. This study examines the impact of this discount change on movie demand. Using theater-level visit data by gender and a difference-in-differences strategy, I find increased movie demand for both males and females, indicating inter-gender interdependence of movie demand. A profit analysis shows that the average movie theater profit remains at the same level as that before the discount adjustment. Lastly, combining the difference-in-differences estimates with a random utility model reveals that joint movie consumption enhances paired customers' movie-watching utility.

Suggested Citation

  • Jiang, Yaxi, 2024. "The effects of removing gender-based price discrimination on movie demand: Estimates using smartphone location data," International Journal of Industrial Organization, Elsevier, vol. 97(C).
  • Handle: RePEc:eee:indorg:v:97:y:2024:i:c:s0167718724000687
    DOI: 10.1016/j.ijindorg.2024.103113
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    References listed on IDEAS

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    1. Sha Yang & Vishal Narayan & Henry Assael, 2006. "Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model," Marketing Science, INFORMS, vol. 25(4), pages 336-349, July.
    2. Francisco Alvarez-Cuadrado & Jose Maria Casado & Jose Maria Labeaga, 2016. "Envy and Habits: Panel Data Estimates of Interdependent Preferences," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 443-469, August.
    3. Kapteyn, Arie, et al, 1997. "Interdependent Preferences: An Econometric Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 665-686, Nov.-Dec..
    4. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 964-982, December.
    5. Pollak, Robert A, 1976. "Interdependent Preferences," American Economic Review, American Economic Association, vol. 66(3), pages 309-320, June.
    6. repec:cdl:agrebk:qt7vg17026 is not listed on IDEAS
    7. Sofia Berto Villas‐Boas, 2009. "An empirical investigation of the welfare effects of banning wholesale price discrimination," RAND Journal of Economics, RAND Corporation, vol. 40(1), pages 20-46, March.
    8. repec:bla:jindec:v:46:y:1998:i:4:p:511-24 is not listed on IDEAS
    9. Peter Davis, 2006. "Spatial competition in retail markets: movie theaters," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 964-982, December.
    10. Nathan H. Miller & Matthew Osborne, 2014. "Spatial differentiation and price discrimination in the cement industry: evidence from a structural model," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 221-247, June.
    11. Jeanine Miklós‐Thal & Greg Shaffer, 2021. "Input price discrimination by resale market," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 727-757, December.
    12. Stephen K. Layson, 1998. "Third‐Degree Price Discrimination With Interdependent Demands," Journal of Industrial Economics, Wiley Blackwell, vol. 46(4), pages 511-524, December.
    Full references (including those not matched with items on IDEAS)

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