Titelaufnahme

Titel
Quantile regression estimates of the effect of student absences on academic achievement / Seth Gershenson (American University and IZA), Jessica Rae McBean (American University), Long Tran (American University) ; IZA Institute of Labor Economics
VerfasserGershenson, Seth ; McBean, Jessica Rae ; Tran, Long
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, October 2018
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (21 Seiten) : Diagramme
SerieDiscussion paper ; no. 11912
URNurn:nbn:de:hbz:5:2-170215 
Zugriffsbeschränkung
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Volltexte
Quantile regression estimates of the effect of student absences on academic achievement [0.56 mb]
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Verfügbarkeit In meiner Bibliothek
Zusammenfassung (Englisch)

Credible evidence from a variety of contexts suggests that student absences harm academic achievement. However, extant studies focus entirely on the average effects of student absences, and how those average effects vary by student, school, and absence type. This paper enhances our understanding of the nature of the causal relationship between absences and achievement by estimating quantile regressions that identify the impact of student absences on the full distribution of achievement, not just its mean. Somewhat surprisingly, the harmful effects of student absences are approximately constant across the achievement distribution. This suggests that cost-benefit analyses of interventions designed to improve attendance can use previously-estimated average effects to predict benefits. Moreover, it suggests that interventions that target all students would neither increase nor decrease the variance in test scores.