Die vorliegende Dissertation mit dem Titel Monetary DSGE Models of Two Countries: Set-Up, Estimation, and Forecasting Performance beinhaltet neben einem einleitenden noch drei weitere Kapitel. In Kapitel 2 entwickeln wir ein Zwei-Länder-DSGE-Modell und untersuchen die Auswirkungen von...

The identification of reduced-form VAR model had been the subject of numerous debates in the literature. Different sets of identifying assumptions can lead to very different conclusions in the policy debate. This paper proposes a theoretically consistent identification strategy using...

This paper develops a DSGE model with housing, risky mortgages and endogenous default. Housing investment is subject to idiosyncratic risk and some mortgages are defaulted in equilibrium. An unanticipated increase in the standard deviation of housing investment produces a credit crunch where...

The financial crisis clearly illuminated the potential amplifying role of financial factors on macroeconomic developments. Indeed, the heavy impairments of banks' balance sheets brought to the fore the banking sector's ability to provide a smooth flow of credit to the real economy. However, most...

Monetary DSGE models are widely used because they fit the data well and they can be used to address important monetary policy questions. We provide a selective review of these developments. Policy analysis with DSGE models requires using data to assign numerical values to model parameters. The...

In this paper, I review the literature on the formulation and estimation of dynamic stochastic general equilibrium (DSGE) models with a special emphasis on Bayesian methods. First, I discuss the evolution of DSGE models over the last couple of decades. Second, I explain why the profession has...

Many central banks have come to rely on dynamic stochastic general equilibrium, or DSGE, models to inform their economic outlook and to help formulate their policy strategies. But while their use is familiar to policymakers and academics, these models are typically not well known outside these...

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...

We use a calibrated multi-sector DSGE model to analyze the likely impact of oil windfalls on the Ghanaian economy, under alternative fiscal and monetary policy responses. We distinguish between the short-run impact, associated with demand-related pressures, and the medium run impact on...