Estimating peer effects from network data

Time
Monday, 13. January 2020
11:45 - 12:45

Location
M629

Organizer
Centre for the Advanced Study of Collective Behaviour

Speaker:
Winfried Pohlmeier, University of Konstanz

This event is part of an event series „Seminar Series of CASCB“.

View the recording of Winfried's talk here

Winfried Pohlmeier is a Professor of Economics and Econometrics at the University of Konstanz. He is a research associate at the Center of Finance and Econometrics (CoFE) and senior research fellow at the Rimini Centre for Economic Analysis. His research interests include microeconomics and financial econometrics as well as empirical labor market theory.

Estimating peer effects from network data

Peer effects summarize collective behavior by measuring interaction between individuals and their peer groups. Peer effects can be identified and estimated based on network information. In the talk we will give a brief introduction into the identification problem and causality within networks and the inferential problems arising from weak identification.

Based on a novel Instrumental Variables-Minimum Distance (IV-MDE) estimator we show how heterogeneity in networks can be accounted for. In our empirical application we show the estimation approach at work by studying the role of peer effects on individual school performance using network information of school classes.