337 – SPEED: Methodological Developments in Social Statistics, Part 1
A Spatial Microsimulation Model of Labor Market Integration in Germany
Monika Obersneider
University of Duisburg-Essen
Petra Stein
University of Duisburg-Essen
Microsimulation modeling has gained growing attention in the last years as a useful statistical tool for individual-based population projections. However, only a handful of datasets allow for microsimulation modeling concerning the small level spatial structure the individuals are embedded in. Hence, the interplay of regional disparities with individual and contextual outcomes has received insufficient attention in this field. The aim of this contribution is to give an insight into the development of a nationwide, spatial microsimulation infrastructure in Germany (`MikroSim'), which results in a geo-coded synthetic database. This conference proceeding presents its potential application through regionalized modeling of labor market outcomes within migrant populations. The resulting model can be used for population projections. Special features of this projection will be the integration of regional small area estimates as well as the derivation of estimates from empirical results of longitudinal multilevel analyses. Furthermore, the spatial microsimulation model allows for the simulation of different `what if' scenarios and future dynamics of the labor market integration of ethnic minorities on several societal levels of interest.