Time series analysis under model uncertainty

Central banks analyze economic data in order to uncover the dynamics of the economy and the interdependencies between different economic factors, for example between interest rates and economic growth. This thesis motivates and develops new analysis methods for such economic times series. One of the proposed methods allows the user to explicitly define and take into account the goal of her analysis; another presented method is an extension of a popular tool for economic policy analysis. The thesis illustrates the methods' properties and shows how they compare with other commonly used methods. The results can help central banks and economists to make more informed decisions about which analysis tools to use.