There is a large literature on social interactions and still little is known about the economic mechanisms leading to the high level of clustering in behavior that is so commonly observed in the data. In this paper we present a model in which agents are allowed to interact according to three...

There is a large literature on social interactions and still little is known about the economic mechanisms leading to the high level of clustering in behavior that is so commonly observed in the data. In this paper we present a model in which agents are allowed to interact according to three...

This paper builds, identifies and estimates a model of the labor market that features strategic interactions in wage setting and two-sided heterogeneity in order to shed light on the sources of wage inequality. We provide a tractable characterization of the model equilibrium and demonstrate its...

We model network formation and interactions under a unified framework by considering that individuals anticipate the effect of network structure on the utility of network interactions when choosing links. There are two advantages of this modeling approach: first, we can evaluate whether network...

This paper establishes a new fact about educational production: ordinal academic rank during primary school has lasting impacts on secondary school achievement that are independent of underlying ability. Using data on the universe of English school students, we exploit naturally occurring...

Obtaining consistent estimates of spillovers in an educational context is hampered by at least two issues: selection into peer groups and peer effects emanating from unobservable characteristics. We develop an algorithm for estimating spillovers using panel data that addresses both of these...

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...

This volume was prepared by Susanne Link during her stay at the Ludwig-Maximilians-University of Munich and the Department of Human Capital and Innovation of the Ifo Institute of Economic Research. It was accepted as a doctoral thesis by the Economics Departure of the University of Munich in...

The credible identification of endogenous peer group effects - i.e. social multiplier or feedback effects - has long eluded social scientists. We argue that such effects are most credibly identified by a randomly assigned social program which operates at differing intensities within and between...

Using a uniquely assembled panel dataset, we estimate the impact of neighborhood and peer effects on female labor supply. Nonrandom sorting and unobserved heterogeneity at the individual and neighborhood levels make recovering these impact parameters more complicated in the absence of...