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Queens over Kings: Gender and Socioeconomic Predictors of Competitive Chess Performance among Peruvian Youth

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  • LAHURA, ERICK
  • Cuadros, Rossmery

Abstract

The aim of this research is to determine whether socioeconomic factors can predict the chess performance of young Peruvian players, measured as the probability of winning a medal in a championship. To achieve this, we explore data from a survey conducted by the Peruvian Chess Sports Federation (FDPA) after the XXXI Pan American Youth Hybrid Festival 2021. A binary regression model is estimated assuming a logistic probability distribution. The results indicate that factors such as gender, previous performance, age, internet access quality, having siblings, and academic performance are significant in predicting a player's likelihood of winning a medal in a chess competition. The analysis suggests that the probability of a female player winning a medal is higher than that of a male player by at least 26 percentage points. Oaxaca-Blinder and Nopo decompositions confirm the significant impact of gender on chess performance. To the best of our knowledge, this is the first scientific research on the performance of young Peruvian chess players. Furthermore, its findings can be valuable for identifying players with a high probability of winning in championships and designing strategies to enhance the performance of chess players.

Suggested Citation

  • LAHURA, ERICK & Cuadros, Rossmery, 2025. "Queens over Kings: Gender and Socioeconomic Predictors of Competitive Chess Performance among Peruvian Youth," MPRA Paper 124605, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:124605
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    References listed on IDEAS

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    1. Bertoni, Marco & Brunello, Giorgio & Rocco, Lorenzo, 2015. "Selection and the age – productivity profile. Evidence from chess players," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 45-58.
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    Keywords

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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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