The long-run effects of disruptive peers.

Autor/inn/en	Carrell, Scott E.; Hoekstra, Mark; Kuka, Elira
Institution	National Bureau of Economic Research
Titel	The long-run effects of disruptive peers. Gefälligkeitsübersetzung: Die langfristigen Auswirkungen verhaltensgestörter Mitschüler.
Quelle	Cambridge, Mass. (2016), 39 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Reihe	NBER working paper. 22042
Beigaben	Illustrationen
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
DOI	10.3386/w22042
Schlagwörter	Grundschule; Schüler; Sozialstruktur; Studium; Schulleistung; USA; Auswirkung; Schulklasse; Familiale Gewalt; Schulklasse; Grundschule; Schüler; Schulleistung; Peer Group; Sozialstruktur; Beschäftigungseffekt; Qualifikationsniveau; Ausbildungsabschluss; Studium; Verhaltensauffälliger; Auswirkung; USA
Abstract	"A large and growing literature has documented the importance of peer effects in education. However, there is relatively little evidence on the long-run educational and labor market consequences of childhood peers. We examine this question by linking administrative data on elementary school students to subsequent test scores, college attendance and completion, and earnings. To distinguish the effect of peers from confounding factors, we exploit the population variation in the proportion of children from families linked to domestic violence, who were shown by Carrell and Hoekstra (2010, 2012) to disrupt contemporaneous behavior and learning. Results show that exposure to a disruptive peer in classes of 25 during elementary school reduces earnings at age 26 by 3 to 4 percent. We estimate that differential exposure to children linked to domestic violence explains 5 to 6 percent of the rich-poor earnings gap in our data, and that removing one disruptive peer from a classroom for one year would raise the present discounted value of classmates' future earnings by $100,000." (Author's abstract, IAB-Doku). Die Untersuchung enthält quantitative Daten. Forschungsmethode: empirisch-quantitativ; empirisch; Sekundäranalyse; Längsschnitt. Die Untersuchung bezieht sich auf den Zeitraum 1995 bis 2010.
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2016/3