We estimate the euro area output gap by applying the Beveridge-Nelson decomposition based on a large Bayesian vector autoregression. Our approach incorporates multivariate information through the inclusion of a wide range of variables in the analysis and addresses data issues associated with the...

The smoking effects on wages has been examined in this work using different econometric methodologies with the use of European Community Household Panel (ECHP) datasets. We employ econometric tools like Instrumental Variable technique, Heckman correction factor, Endogenous Switching and Matching...

In this paper, we analyze the dynamic relationships between ten stock exchanges of the euro zone using Granger causal networks. Using returns for which we allow the variance to follow a Markov-Switching GARCH or a Changing-Point GARCH, we first show that over different periods, the topology of...

Outlier detection in high-dimensional datasets poses new challenges that have not been investigated in the literature. In this paper, we present an integrated methodology for the identification of outliers which is suitable for datasets with higher number of variables than observations. Our...

We present an exercise in empirical optimal taxation for a sample of European countries from three areas: Southern, Central and Northern Europe. For each country, we estimate a microeconometric model of labour supply for both couples and singles. A procedure that simulates the households'...

Binscatter is very popular in applied microeconomics. It provides a flexible, yet parsimonious way of visualizing and summarizing “big data” in regression settings, and it is often used for informal testing of substantive hypotheses such as linearity or monotonicity of the regression...

Digitalization is one of the key drivers of accelerated change in our everyday lives, both on an economic and social level. With solutions enabled through ICT technologies, we are more connected than ever on the global scale. In this next chapter of globalization, we currently experience...

Usage of Monte Carlo simulation for pricing requires a well defined and accurate market implied distribution of risk factors. Overlay, on top of these simulated risk factors, one can also generate conditional prices based on the set of underlying risk factors at future time horizons. The ability...

In multi-country studies, researchers frequently extract data in a single currency rather than in native currencies. This approach can be misleading for financial analysts' forecasts in the euro zone when researchers are using the IBES database. We suspect that forecasts of earnings before the...