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

Kyulee Shin, Sukkyung You

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Article number58
JournalMathematics
Volume10
Issue number1
DOIs
StatePublished - 1 Jan 2022

Keywords

  • Academic performance
  • After-school exercise
  • Instrumental variable quantile regression
  • Quantile regression
  • Structural relationship

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