"The past two decades have seen econometrics grow into a vast discipline. Many different branches of the subject now happily coexist with one another. These branches interweave econometric theory and empirical applications and bring econometric method to bear on a myriad of economic issues."

Diese Dissertation setzt sich aus vier Arbeiten zusammen, die Forschungsfragen bezüglich verschiedener Kernaufgaben von Versicherungsunternehmen betrachten: Das Pricing von Versicherungsprodukten, die Schätzung zukünftiger Schäden, das Management von Aktiva und Passiva und die Erfüllung der...

Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical...

In this paper, we compare the empirical properties of closed- and open-economy DSGEmodels estimated on Euro area data. The comparison is made along several dimensions;we examine the models in terms of their marginal likelihoods, forecasting performance,variance decompositions, and their...

This dissertation is comprised of three essays on nonparametric Bayesian modeling in microeconometrics. The introduction discusses some basic concepts of Bayesian nonparametrics including the Dirichlet process and the mixture of Dirichlet processes model. Further, the literature on estimating...

This paper presents a comprehensive review and comparison of five computational methods for Bayesian model selection, based on MCMC simulations from posterior model parameter distributions. We apply these methods to a well-known and important class of models in financial time series analysis,...

The present dissertation consists of three stand-alone research papers that all deal with factor models from a Bayesian perspective, both in a theoretical and an empirical setup. More precisely, the thesis is organized in a progressive way as follows: Chapter 1 briefly presents the general...