TY - JOUR
T1 - Peer discrimination toward rural migrant students and academic performance in urban China
T2 - a machine learning approach
AU - Lee, Hanol
AU - Song, Eunbi
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - Rural students migrating to cities in China encounter discrimination from their local peers, largely due to the institution known as Hukou. Using micro-level data from urban middle schools in China, we confirm that peer discrimination toward migrant students is negatively associated with the academic performance. We perform a simulation study using a novel machine learning technique to generate synthetic data where the bias in the original data is removed. Our finding shows the negative association disappears when students are exposed to a setting that mitigates discrimination. For policy implication, this study implies that practices to increase migrants' awareness of discrimination or reduce locals' unfavorable behavior would be helpful. Such practices should be multidimensional, with students, teachers, and schools.
AB - Rural students migrating to cities in China encounter discrimination from their local peers, largely due to the institution known as Hukou. Using micro-level data from urban middle schools in China, we confirm that peer discrimination toward migrant students is negatively associated with the academic performance. We perform a simulation study using a novel machine learning technique to generate synthetic data where the bias in the original data is removed. Our finding shows the negative association disappears when students are exposed to a setting that mitigates discrimination. For policy implication, this study implies that practices to increase migrants' awareness of discrimination or reduce locals' unfavorable behavior would be helpful. Such practices should be multidimensional, with students, teachers, and schools.
KW - Academic performance
KW - Machine learning
KW - Peer discrimination
KW - Rural migrants
UR - http://www.scopus.com/inward/record.url?scp=85140051341&partnerID=8YFLogxK
U2 - 10.1016/j.cities.2022.104027
DO - 10.1016/j.cities.2022.104027
M3 - Article
AN - SCOPUS:85140051341
SN - 0264-2751
VL - 131
JO - Cities
JF - Cities
M1 - 104027
ER -