This paper reviews recent approaches to modeling the labour market and assesses their implications for in.ation dynamics through both their effect on marginal cost and on price-setting behaviour. In a search and matching environment, we consider the following modeling setups: right-to-manage...

In this paper, we employ a calibrated two-country version of the New Area-Wide Model (NAWM) currently under development at the European Central Bank to examine the potential benefits and spillovers of reducing labour-market distortions caused by euro area tax structures. Our analysis shows that...

In this paper we incorporate a labor market with matching frictions and wage rigidities into the New Keynesian business cycle model. In particular, we analyze the effect of a monetary policy shock and investigate how labor market frictions affect the transmission process of monetary policy. The...

We use a version of the New Area-Wide Model (NAWM) developed at the ECB in order to quantify the gains from monetary policy cooperation. The model is calibrated in order to match a set of empirical moments. We then derive the cooperative and (open-loop) Nash monetary policies, assuming that the...

In this paper, we examine the macroeconomic effects of alternative fiscal consolidation policies in the New Area-Wide Model (NAWM), a two-country open-economy model of the euro area developed at the European Central Bank (cf. Coenen et al., 2007). We model fiscal consolidation as a permanent...

In this paper, we explore the role of labor markets for monetary policy in the euro area in a New Keynesian model in which labor markets are characterized by search and matching frictions. We first investigate to which extent a more flexible labor market would alter the business cycle behaviour...

In this paper, we outline a version of the New Area-Wide Model (NAWM) of the euro area designed for use in the (Broad) Macroeconomic Projection Exercises regularly undertaken by ECB/Eurosystem staff. We present estimation results for the NAWM that are obtained by employing Bayesian inference...

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-step ahead forecasts. In the empirical...