We analyse tax revenue elasticities by applying dynamic models to a new disaggregated dataset for Germany, which is adjusted for the effects of tax reforms. We estimate long-run elasticities that are substantially lower than in comparable studies for profit-related taxes and are slightly lower...

We propose a Bayesian approach to dynamic panel estimation in the presence of cross-sectional dependence and dynamic heterogeneity which is suitable for inference in short panels, unlike alternative estimators. Monte Carlo simulations indicate that our estimator produces less bias, and a lower...

This paper studies the impact of bank regulation and taxation in a dynamic model where banks are exposed to credit and liquidity risk and can resolve financial distress in three costly forms: bond issuance, equity issuance or fire sales. We find an inverted U–shaped relationship between...

Expectations about macroeconomic developments are important determinants of long term interest rates. In this paper, I compare two different assumptions on how agents may form their expectations about the economy and yields in a pseudo real time exercise. Based on the no-arbitrage...

This paper studies the innovation dynamics of an oligopolistic industry. The firms compete not only in the output market but also by engaging in productivity enhancing innovations to reduce labor costs. Rent sharing may generate productivity dependent wage differentials. Productivity growth...

Dynamic factor models and external instrument identification are two recent advances in the empirical macroeconomic literature. This paper combines the two approaches in order to study the effects of monetary policy shocks. I use this novel framework to re-examine the effects found by Forni and...

We propose a novel time-varying parameters mixed-frequency dynamic factor model which is integrated into a dynamic model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real-time data flow as well as parameter uncertainty and...

This paper presents an application of the Generalised Error Correction Model (GECM) for heterogeneous factor demands based on the quadratic cost function. Using data for 26 West German manufacturing industries over the period 1976-1995, it turns out that less general specifications such as the...