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...

This chapter is concerned with methods for analyzing spatial data. After initial discussion of 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...

This paper analyzes job referral effects that are based on residential location. We use georeferenced record data for the entire working population (liable to social security) and the corresponding establishments in the Rhine-Ruhr metropolitan area, which is Germany's largest (and EU's second...

Your very private job agency: Job referrals based on residential location networks This paper analyzes job referral effects that are based on residential location. We use georeferenced record data for the entire working population (liable to social security) and the corresponding establishments...

It has often been observed that there is substantial spatial variation in criminality, i.e. criminality clusters in neighborhoods. Differences in neighborhood characteristics are one possible reason, social interactions another. In this paper we use detailed data on the residential location of...

This research examines the strength of people's ties with close neighbours and the sensitivity thereof to changes in residential mobility, access to modes of public and private transport, and changes in the availability of modern communications technologies using the German Socio-economic Panel...