Abstract

This thesis consists of four self-contained chapters. The first chapter provides an introduction with a literature overview. In Chapter 2 we estimate the effects of monetary policy shocks in a Bayesian FactorAugmented vector autoregression (BFAVAR). We propose to employ as an identification strategy sign restrictions on the impulse response function of pertinent variables according to conventional wisdom. The key strength of our factor based approach is that sign restrictions can be imposed on many variables in order to pin down the impact of monetary policy shocks. Thus an exact identification of shocks can be approximated and monitored. In chapter 3 the role of monetary policy during the interwar Great Depression is analyzed. The prominent role of monetary policy in the U.S. interwar depression has been conventional wisdom since Friedman and Schwartz [15]. This paper attempts to capture the pertinent dynamics through a BFAVAR methodology of the previous chapter. We find the effects of monetary policy shocks and the systematic component to have been moderate. Our results caution against a predominantly monetary interpretation of the Great Depression. This final chapter 4 analyzes macroeconomic dynamics within the Euro area. To tackle the questions at hand I propose a novel approach to jointly estimate a factorbased DSGE model and a structural dynamic factor model that simultaneously captures the rich interrelations in a parsimonious way and explicitly involves economic theory in the estimation procedure. To identify shocks I employ both sign restrictions derived from the estimated DSGE model and the implied restrictions from the DSGE model rotation. I find a high degree of comovement across the member countries, homogeneity in the monetary transmission mechanism and heterogeneity in transmission of technology shocks. The suggested approach results in a factor generalization of the DSGE-VAR methodology of Del Negro and Schorfheide [12].

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