Due to their well-known indeterminacies, factor models require identifying assumptions to guarantee unique parameter estimates. For Bayesian estimation, these identifying assumptions are usually implemented by imposing constraints on certain model parameters. This strategy, however, may result...

Based on the seminal paper of Farrell (1957), researchers have developed several methods for measuring e fficiency. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA), both introduced in the late 1970s....

This paper develops a quantitative model of city structure to separate agglomeration forces, dispersion forces and fundamentals as determinants of location choices. The model remains tractable and amenable to empirical analysis because of stochastic shocks to worker productivity, which yield a...

In this paper, we provide novel evidence on the contemporaneous and persistent effects of regional policy. We apply a quasi-experimental identification strategy exploiting the fact that municipalities in the West-German Zonenrandgebiet (ZRG) were eligible for substantial regional transfers...

We study the effect of railroad access on urban population growth. Using GIS techniques, we match triennial population data for roughly 1,000 cities in nineteenth-century Prussia to georeferenced maps of the German railroad network. We find positive short- and long-term effects of having a...

This paper analyzes whether housing-related macroprudential policy has heterogeneous effects on house price growth in local housing markets. More specifically, we employ an extensive dataset of Belgian municipalities containing a multitude of drivers of local house price dynamics and examine the...