Construction and Bayesian Estimation of DSGE Models for the EURO Area: A statistical framework

Revision with unchanged content. Dynamic Stochastic General Equilibrium (DSGE) models have become a standard tool in various fields of economics. This type of models has a superior theoretical foundation when compared to the Keynesian models which are traditionally used for policy analysis and forecasting. Although a lot has been done to improve the empirical properties of DSGE models, there is still a need for further research in this field. In this book, the author first considers a closed economy general equilibrium framework to empirically validate the alternative mechanisms for introducing nominal rigidities. As the comparison is done in the context of the Euro area aggregate data, the results provide guidance to researchers dealing with estimation of Euro area DSGE models in general. In the second part of the book, a coherent economic and statistical framework that approximates the structure of the EMU and explicitly accounts for the historical monetary regime change is presented. In such a framework the disaggregate information on the Euro area can be utilized, so that one can explain the area-wide aggregates, and also examine the cross-region linkages.

Born in 1978 in Garwolin, Poland. After obtaining MSc in Quantitative Methods from Warsaw School of Economics was an analyst with BRE Bank and Citigroup. PhD obtained from the University of Hamburg in 2007 (doctoral scholarship granted by the DAAD). Currently, macro and financial markets analyst associated with BRE Bank.