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...

It is common practice to estimate the volatility-growth link by specifying a standard growth equation such that the variance of the error term appears as an explanatory variable in this growth equation. The variance in turn is modelled by a second equation. Hardly any of existing applications of...

In this paper I analyze the relationship between unemployment and criminal activity. Using a unique panel data set on German counties covering the years 2003 to 2009, I estimate the effect of unemployment on crime rates for different kind of offenses. I extensively control for potential...

Empirical work on the causal effect of government fragmentation finds diversified results. This might be explained by the fact that studies typically are settled in different institutional environments. To assess in how far the political system might shape the effects of fragmentation, this...

Compared to other European countries rental apartments dominate the German housing market. Policymakers and a large part of the population alike worry about the amount of affordable living space. Especially in metropolitan areas a high demand for living space exists and has been leading to a...

We provide an overidentification test for a nonparametric treatment model where individuals are allowed to select into treatment based on unobserved gains. Our test can be used to test the validity of instruments in a framework with essential heterogeneity (Imbens and Angrist 1994). The...

This paper proposes and empirically implements a framework for analyzing industry competition and the degree of joint profit maximization of merging firms in differentiated product industries. Using pre- and post-merger industry data, I am able to separate merging firms' intra-organizational...

We propose a monitoring procedure to detect a structural change from stationary to integrated behavior. When the procedure is applied to the errors of a relationship between integrated series it thus monitors a structural change from a cointegrating relationship to a spurious regression. The...

I derive the unconditional transformed likelihood function and its derivatives for a fixed-effects panel data model with time lags, spatial lags, and spatial time lags that encompasses the pure time dynamic and pure space dynamic models as special cases. In addition, the model can accommodate...