This paper analyzes the relationship between unemployment and wage inflation for 10 of the euro area countries. The combination of low wage inflation and high unemployment in Europe is usually attributed to a rise in the natural rate of unemployment. Using a panel data approach, this paper...

This paper investigates the determinants of German long-term unemployment. In particular a microeconometric event history analysis will be carried out to examine what impact personal characteristics such as age, gender, education, etc. or factors such as receiving unemployment benefits have on...

This paper analyzes the dynamic effects of different macroeconomic shocks on unemployment in Germany. In a first step, a cointegration analysis of productivity, prices, real wages, employment, and the unemployment rate reveals two long run relationships, interpreted as a labor demand and a wage...

This paper analyzes the dynamic effects of different macroeconomic shocks on unemployment in Germany. In a first step, a cointegration analysis of productivity, prices, real wages, employment, and the unemployment rate reveals two long run relationships, interpreted as a labor demand and a wage...

Bayesian dynamic stochastic general equilibrium (DSGE) models combine microeconomic behavioural foundations with a full-system Bayesian likelihood estimation approach using key macro-economic variables. Because of the usefulness of this class of models for addressing questions regarding the...

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance matrix of h-steps ahead forecasts. In the empirical...

In this paper we examine conditional versus unconditional forecasting with a version of the New Area-Wide Model (NAWM) of the euro area designed for use in the context of the macroeconomic projection exercises at the European Central Bank (ECB). We first analyse the out-of-sample forecasting...

The predictive likelihood is of particular relevance in a Bayesian setting when the purpose is to rank models in a forecast comparison exercise. This paper discusses how the predictive likelihood can be estimated for any subset of the observable variables in linear Gaussian state-space models...