Arbeitspapier
Female Classmates, Disruption, and STEM Outcomes in Disadvantaged Schools: Evidence from a Randomized Natural Experiment
Recent research has shown that females make classrooms more conducive to effective learning. We identify the effect of a higher share of female classmates on students' disruptive behavior, engagement, test scores, and major choices in disadvantaged and non-disadvantaged schools. We exploit the random assignment of students to classrooms in early high school in Greece. We combine rich administrative data with hand-collected student-level data from a representative sample of schools that feature two novel contributions. Unlike other gender peer effects studies, a) we use a rich sample of schools and students that contains a large and diverse set of school qualities, and household incomes, and b) we measure disruption and engagement using misconduct-related (unexcused) teacher-reported and parent-approved (excused) student class absences instead of self-reported measures. We find four main results. First, a higher share of female classmates improves students' current and subsequent test scores in STEM subjects and increases STEM college participation, especially for girls. Second, a higher share of female classmates is associated with reduced disruptive behavior for boys and improved engagement for girls, which indicates an increase in overall classroom learning productivity. Third, disadvantaged students - those who attend low-quality schools or reside in low-income neighborhoods - drive the baseline results; they experience the highest improvements in their classroom learning productivity and their STEM outcomes from a higher share of female classmates. Fourth, disadvantaged females randomly assigned to more female classmates in early high school choose college degrees linked to more lucrative or prestigious occupations 2 years later. Our results suggest that classroom interventions that reduce disruption and improve engagement are more effective in disadvantaged or underserved environments.
- Sprache
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Englisch
- Erschienen in
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Series: IZA Discussion Papers ; No. 16689
- Klassifikation
-
Wirtschaft
Economics of Gender; Non-labor Discrimination
Human Capital; Skills; Occupational Choice; Labor Productivity
Education and Inequality
Returns to Education
- Thema
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quasi-random variation
STEM careers
classroom learning productivity
natural experiment
gender peer effects
disadvantaged students
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Goulas, Sofoklis
Megalokonomou, Rigissa
Zhang, Yi
- Ereignis
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Veröffentlichung
- (wer)
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Institute of Labor Economics (IZA)
- (wo)
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Bonn
- (wann)
-
2023
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Goulas, Sofoklis
- Megalokonomou, Rigissa
- Zhang, Yi
- Institute of Labor Economics (IZA)
Entstanden
- 2023