We develop a theoretical model in which whites mainly use private vehicles to commute whereas non-whites use public transportation. We show that, for whites and non-whites, higher (time) distance-to-jobs leads to lower search effort. Because of different transport modes, we also show that, at...

We propose a novel mechanism to facilitate understanding of systemic risk in financial markets. The literature on systemic risk has focused on two mechanisms, common shocks and domino-like sequential default. Our approach is a formal model that provides an intellectual combination of the two by...

The aim of this paper is to investigate and understand the effect of high-school friends on years of schooling. We develop a simple network model where students first choose their friends and then decide how much effort they put in education. The empirical salience of the model is tested using...

We analyze peer e¤ects in sleeping behavior using a representative sample of U.S. teenagers from the National Longitudinal Survey of Adolescent Health. The sampling design of the survey causes the conventional 2SLS estimator to be inconsistent. We extend the NLS estimator in Wang and Lee...

We study peer effects in education. We first develop a network model that predicts a relationship between own education and peers’ education as measured by direct links in the social network. We then test this relationship using the four waves of the AddHealth data, looking at the impact of...

This paper studies whether conformism behavior affects individual outcomes in crime. We present a social network model of peer effects with ex-ante heterogeneous agents and show how conformism and deterrence affect criminal activities. We then bring the model to the data by using a very detailed...

A model is considered in which optimal search intensity is a result of a trade-off between short-run losses due to higher search costs (more interviews, commuting...) and long-run gains due to a higher chance to find a job. We show that this optimal search intensity is higher in areas...

We develop a model where the decision to commit a crime in a neighboring area is a positive function of the percentage of same-race individuals residing in that area since they can provide crucial information on crime possibilities. The model then predicts a positive spatial correlation in crime...

This paper is concerned with methods for analysing spatial data. After initial discussion on the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...