Factor Sequences are stochastic double sequences indexed in time and cross-section which have a so called factor structure. The name was coined by Forni and Lippi (2001) who introduced dynamic factor sequences. We show the difference between dynamic factor sequences and static factor sequences...

This paper analyzes human capital externalities from high-skilled workers by applying functional regression to precise geocoded register data. Functional regression enables us to describe the concentration of high-skilled workers around workplaces as continuous curves and to efficiently estimate...

This paper analyzes human capital externalities from high-skilled workers by applying functional regression to precise geocoded register data. Functional regression enables us to describe the concentration of high-skilled workers around workplaces as continuous curves and to efficiently estimate...

This paper applies functional regression to precise geo-coded register data to measure productivity spillovers from high-skilled workers. We use a smoothing splines estimator to model the spatial distribution of high-skilled workers as continuous curves. Our rich panel data allows us to address...

This paper applies functional regression to precise geo-coded register data to measure productivity spillovers from high-skilled workers. We use a smoothing splines estimator to model the spatial distribution of high-skilled workers as continuous curves. Our rich panel data allows us to address...

This article introduces the Stata program osrmtime, which allows the calculation of distance and travel time between two points using latitude and longitude information. The command takes advantage of the Open Source Routing Machine (OSRM) and of OpenStreetMaps in order to find the optimal route...