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The Color of Electoral Success: Estimating the Effect of Skin Tone on Winning Elections in Mexico

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  • Raymundo M. Campos‐Vazquez
  • Carolina Rivas‐Herrera

Abstract

Objective Evidence suggests that voters’ prejudices may lead them to take information shortcuts in choosing political leaders. This study analyzes whether the skin tone of 12,798 candidates influenced the outcome of their electoral campaigns. Methods To determine the probability of winning an election, we estimate a linear regression where skin tone is used as an explanatory variable, with controls such as sex and political party. Based on the number of votes obtained by each candidate, we estimate an ordered logit model. Results Candidates with dark brown skin tones face a probability of winning that is 20–38 percent less than those with intermediate skin color. A one standard deviation increase in skin tone is associated with an 8 percent decrease in the probability of finishing in first place. Conclusion Skin color influences electoral outcomes. Public policies should therefore ensure equal access and true representativeness.

Suggested Citation

  • Raymundo M. Campos‐Vazquez & Carolina Rivas‐Herrera, 2021. "The Color of Electoral Success: Estimating the Effect of Skin Tone on Winning Elections in Mexico," Social Science Quarterly, Southwestern Social Science Association, vol. 102(2), pages 844-864, March.
  • Handle: RePEc:bla:socsci:v:102:y:2021:i:2:p:844-864
    DOI: 10.1111/ssqu.12933
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    References listed on IDEAS

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    1. Leigh, Andrew & Susilo, Tirta, 2009. "Is voting skin-deep? Estimating the effect of candidate ballot photographs on election outcomes," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 61-70, February.
    2. Rodrigo Praino & Daniel Stockemer, 2019. "What Are Good‐Looking Candidates, and Can They Sway Election Results?," Social Science Quarterly, Southwestern Social Science Association, vol. 100(3), pages 531-543, May.
    3. López Bóo, Florencia & Rossi, Martín A. & Urzúa, Sergio S., 2013. "The labor market return to an attractive face: Evidence from a field experiment," Economics Letters, Elsevier, vol. 118(1), pages 170-172.
    4. Martinelli, César, 2006. "Análisis económico de la conducta de los votantes," El Trimestre Económico, Fondo de Cultura Económica, vol. 73(290), pages 211-237, abril-jun.
    5. Parrett, Matt, 2015. "Beauty and the feast: Examining the effect of beauty on earnings using restaurant tipping data," Journal of Economic Psychology, Elsevier, vol. 49(C), pages 34-46.
    6. John G. Matsusaka, 2005. "Direct Democracy Works," Journal of Economic Perspectives, American Economic Association, vol. 19(2), pages 185-206, Spring.
    7. Panu Poutvaara, 2017. "How do candidates’ looks affect their election chances?," IZA World of Labor, Institute of Labor Economics (IZA), pages 370-370, June.
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    Cited by:

    1. Kenneth Colombe & Alex Krumer & Rosa Lavelle-Hill & Tim Pawlowski, 2025. "Racial bias, colorism, and overcorrection," Papers 2508.10585, arXiv.org, revised Sep 2025.

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