In several studies, hedonic methods have been used successfully for the ex post assessment of the accuracy of inflation measurement. Most of those studies relate to high-tech products, with respect to which traditional methods of compiling price indices often fail. We apply hedonic methods to...

The capital-asset-pricing model (CAPM) is one of the most popular methods of financial market analysis. But, evidence of the poor empirical performance of the CAPM has accumulated in the literature. For example, based on their empirical results regarding the relation between market Beta and...

The saving ratio of households in Germany has increased in the past few years when the income trend was weak. This could be due to precautionary saving. In this paper, the importance of precautionary saving against income uncertainty is analyzed empirically using micro data from the German...

We explore the link between international stock market comovement and the degree to which firms operate globally. Using stock returns and balance sheet data for companies in 20 countries, we estimate a factor model that decomposes stock returns into global, country-specific and industry-specific...

This paper aims to shed light on some of the major allocative consequences of financial market bubbles. In March 1997, the Neuer Markt in Germany opened. Six years later, in June 2003, it closed forever. In the interim period lay the spectacular rise and fall of the first and most important...

In this paper, we present a disaggregated framework for the analysis of past and projected structural developments in the most relevant revenue and expenditure categories and the fiscal balance. The framework, in particular, distinguishes between the effects of discretionary fiscal policy and of...

This paper is the first attempt to investigate the performance of different learning rules in fitting survey data of household and expert inflation expectations in five core European economies (France, Germany, Italy, Netherlands and Spain). Overall it is found that constant gain learning...