Use of microdata is severely hampered in many areas of research. This is in particular true for data from statistical offices. One way to circumvent this problem is to anonymize the data such that both confidentiality is guaranteed and informational content of the data is not to much distorted...

Recent years have seen the dramatic growth of new modes of communication. Above and beyond using land line and mobile phone for voice real-time communication, people spend increasing amounts of time receiving and sending messages through social networks (e.g. Myspace or Facebook) and also...

Certainly the current crisis is affecting seriously the convergence process in EU. Starting from the spatial distribution in EU of some fundamental development indicators before the current crisis, we try to estimate the impact of the prolonged crisis. During last years, the less developed...

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...

Inflation expectations are often found to depend on socioeconomic and demographic characteristics of households, such as age, income and education, however, the reasons for this systematic heterogeneity are not yet fully understood. Since accounting for these expectation differentials could help...

Using a new daily dataset for all stocks traded on the New York Stock Exchange, we study the evolution of information asymmetry during runs on financial institutions and the subsequent liquidity freeze of October 1907 - one of the severest financial crises of the 20\textsuperscript{th} century....

I show how irrational ideas and rumors can drive asset prices - not because anyone believes them, but because they are commonly known without being common knowledge. The phenomenon is driven by short-term market participants who are well-informed about the information that others have, and who...

This paper provides a comprehensive Monte Carlo comparison of different finite-sample biascorrection methods for autoregressive processes. We consider situations where the process is either mildly explosive or has a unit root. The case of highly persistent stationary is also studied. We compare...

This paper improves the estimation procedure of the Multifractal Random Walk model by means of an optimal iterated Generalized Method of Moments (GMM) estimator using an enhanced moments function. We report good estimation results within the scope of a Monte Carlo simulation study, with normally...

In light of the recent large swings in stock and housing prices accompanied by ample global liquidity, the role of monetary policy in the build-up of asset price bubbles has been questioned. This paper will contribute to the debate whether central banks can and should stronger "lean against the...