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Leading Ladies, Lagging Ratings? Gender Bias in Evaluations of Movies

Author

Listed:
  • Anastasia Litina

    (University of Macedonia, GR)

  • Georgios Mavropoulos

    (University of Macedonia, GR)

  • Skerdilajda Zanaj

    (DEM, Université du Luxembourg)

Abstract

The movie industry provides a unique setting to analyze consumer-driven gender biases, as it allows clear identification of how the gender of leading actors, directors and producers influences movie performance outcomes. Using a hand-collected dataset of over 5,000 globally produced movies from 1998 to 2008, we document a distinct non-linear relationship between female representation in leading roles and audience ratings. Specifically, ratings initially decline significantly as the number of female leads increases, reaching a turning point at approximately two female leads, beyond which ratings stabilize or slightly improve (convex pattern). This negative impact on audience ratings is primarily driven by male viewers, whose proportional presence diminishes as female representation grows. In contrast, professional film awards exhibit an opposite, concave pattern, peaking significantly at two female leads. Employing a Heckman- like selection test, we further reveal that audience gender biases persist even after accounting for the selective attrition of male viewers from movies featuring female leads.

Suggested Citation

  • Anastasia Litina & Georgios Mavropoulos & Skerdilajda Zanaj, 2025. "Leading Ladies, Lagging Ratings? Gender Bias in Evaluations of Movies," DEM Discussion Paper Series 25-12, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:25-12
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    File URL: https://hdl.handle.net/10993/65197
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    References listed on IDEAS

    as
    1. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    2. Luis Aguiar, 2024. "Bad Apples on Rotten Tomatoes: Critics, Crowds, and Gender Bias in Product Ratings," CESifo Working Paper Series 11422, CESifo.
    3. Liang Zhong & Angela Crema & M. Daniele Paserman, 2024. "Racial Screening on the Big Screen? Evidence from the Motion Picture Industry," NBER Working Papers 33186, National Bureau of Economic Research, Inc.
    4. Brad Greenwood & Idris Adjerid & Corey M. Angst & Nathan L. Meikle, 2022. "How Unbecoming of You: Online Experiments Uncovering Gender Biases in Perceptions of Ridesharing Performance," Journal of Business Ethics, Springer, vol. 175(3), pages 499-518, January.
    5. Lili Kang & Fei Peng, 2024. "Star power as quality signal or marketing effect? A path analysis on China's motion‐picture industry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3639-3655, July.
    6. Pattnaik, Chinmay & Nanda, Madhumita & Lu, Qiang (Steven), 2025. "Gender and ethnic diversity and international success of Hollywood movies," Journal of World Business, Elsevier, vol. 60(4).
    7. Bryan K. Stroube & David M. Waguespack, 2024. "Status and consensus: Heterogeneity in audience evaluations of female‐ versus male‐lead films," Strategic Management Journal, Wiley Blackwell, vol. 45(5), pages 994-1024, May.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • Z1 - Other Special Topics - - Cultural Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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