Peer Effects Heterogeneity and Social Networks in Education

Arbeitspapier

This study focuses on the role of heterogeneity in network peer effects by accounting for network-specific factors and different driving mechanisms of peer behavior. We propose a novel Multivariate Instrumental Variable (MVIV) estimator which is consistent for a large number of networks keeping the individual network size bounded. We apply this approach to estimate peer effects on school achievement exploiting the network structure of friendships within classrooms. The empirical evidence presented is based on a unique network dataset from German upper secondary schools. We show that accounting for heterogeneity is not only crucial from a statistical perspective, but also yields new structural insights into how class size and gender composition affect school achievement through peer behavior.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Discussion Paper ; No. 423

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Network Formation and Analysis: Theory ; Transactional Relationships; Contracts and Reputation; Networks ; Analysis of Education ; Multiple or Simultaneous Equation Models; Multiple Variables: General ; Multiple or Simultaneous Equation Models: Instrumental Variables (IV) Estimation
• Thema: network heterogeneity ; peer effects ; multivariate instrumental variables ; minimum distance estimation ; school achievement

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Shkoza, Livia ; Uysal, Derya ; Pohlmeier, Winfried
• Ereignis: Veröffentlichung
• (wer): Ludwig-Maximilians-Universität München und Humboldt-Universität zu Berlin, Collaborative Research Center Transregio 190 - Rationality and Competition
• (wo): München und Berlin
• (wann): 2023

Weitere Informationen

• Handle: http://hdl.handle.net/10419/282115
• Letzte Aktualisierung: 10.03.2025, 11:46 MEZ