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Quantile Regression Analysis between the After-School Exercise and the Academic Performance of Korean Middle School Students

Author

Listed:
  • Kyulee Shin

    (Department of Sports Science, Seoul National University of Science & Technology, Seoul 01811, Korea)

  • Sukkyung You

    (College of Education, Hankuk University of Foreign Studies, Seoul 130-791, Korea)

Abstract

This study deepens our understanding of the prediction and structural relationship between a student’s academic performance and his/her regular after-school exercise by estimating models based upon the quantile regression and the instrumental variable quantile regression methods, respectively. Using data on Korean middle school students, we found that negative relationships were dominant for the prediction models, whereas the relationships were reversed for the structural models, affirming the theoretical and experimental hypotheses observed in prior literature. Furthermore, we also found that the low-performing students, in terms of the academic performance, had stronger associations between the two variables than the high-performing students, overall.

Suggested Citation

  • Kyulee Shin & Sukkyung You, 2021. "Quantile Regression Analysis between the After-School Exercise and the Academic Performance of Korean Middle School Students," Mathematics, MDPI, vol. 10(1), pages 1-12, December.
    • Handle: RePEc:gam:jmathe:v:10:y:2021:i:1:p:58-:d:710644
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    References listed on IDEAS

    as
    1. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
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