Macroeconomists have long been concerned with the causal effects of monetary policy. When the identification of causal effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes and policy changes. This paper develops a...

Standard fixed symmetric kernel type density estimators are known to encounter problems for positive random variables with a large probability mass close to zero. We show that in such settings, alternatives of asymmetric gamma kernel estimators are superior but also differ in asymptotic and...

Strengthening potential output is high on the agenda for economic policy in the European Union. While there is widespread agreement that structural policies have a positive impact on long-term growth, there is a controversial discussion whether coordination of macroeconomic policies can...

In this paper an anti-cyclical fiscal policy rule is introduced into a dynamic stochastic general equilibrium model with New-Keynesian features. The rule allows the deficit to deviate from target in proportion to the impact of automatic stabilisers while any additional impact on the deficit, for...

This paper develops a theoretical model of dynamic decision-making of a monetary policy committee with heterogeneous members. It investigates the optimal transparency, and the optimal way of transmitting information of committees, by analysing the effects different communication strategies have...

The paper analyzes the dynamic effects of anticipated raw materials price increases for small open oil-dependent economies and investigates the consequences of several monetary policy rules in response to commodity price shocks. Based on a calibrated New Keynesian open economy model the analysis...

This paper uses a dynamic general equilibrium two-country optimizing model to analyze the consequences of international capital mobility for the effectiveness of monetary policy in open economies. The model shows that the substitutability of goods produced in different countries plays a central...

We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...

This paper considers simultaneous modelling of seasonality, slowly changing un- conditional variance and conditional heteroskedasticity in high-frequency fiancial returns. A new approach, called a seasonal SEMIGARCH model, is proposed to perform this by introducing multiplicative seasonal and...