It is well-known that individuals born in different periods of time (cohorts)exhibit different wealth accumulation paths. While previous studies have usedcohort dummies to proxy for this fact, research in this area suffers from aserious identification problem, i.e., how to disentangle age, time,...

In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...

Socio-economic interrelationships among regions can be measured in terms of economic flows, migration, or physical geographically-based measures, such as distance or length of shared areal unit boundaries. In general, proximity and openness tend to favour a similar economic performance among...

It is well-known that individuals born in different periods of time (cohorts) exhibit different wealth accumulation paths. While previous studies have used cohort dummies to proxy for this fact, research in this area suffers from a serious identification problem, i.e., how to disentangle age,...

It is well-known that individuals born in different periods of time (cohorts) exhibit different wealth accumulation paths. While previous studies have used cohort dummies to proxy for this fact, research in this area suffers from a serious identification problem, i.e., how to disentangle age,...