Economic development is interregional in nature, with economic growth being determined by physical and technological proximity identified by interregional and national cross-border interactions in trade, investments, and knowledge. This report explains the construction of a system of...

Conventional studies on the impacts of economic shocks using global input-output tables (sensitivity analyses) assume stable production structures and thus, only reveal the marginal impacts of changes in final demand. However, when economic shocks occur, whether at home or abroad, economic...

We show that the news is a rich source of data on distressed firm links that drive firm- level and aggregate risks. The news tends to report about links in which a less popular firm is distressed and may contaminate a more popular firm. This constitutes a contagion channel that yields...

In this paper, we show both theoretically and empirically that the size of over-the-counter (OTC) markets can be reduced without affecting individual net positions. First, we find that the networked nature of these markets generates an excess of notional obligations between the aggregate gross...

Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...

The paper investigates how sector composition and the magnitude of R&D investment in the EU may differ in 2020 in comparison to the past, if a selection of top R&D-investing SMEs were assumed to be on a fast growth track while the top R&D-investing large-scale companies continue to grow as...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...

This paper investigates changes in the task content, methods and tools of European jobs from 1995 to 2015. Drawing on the taxonomy of tasks proposed by Bisello and Fernández-Macías (2016), this work tries to better understand whether changes in the average intensity of tasks performance are...

New digital technologies more and more diffuse into the economy. Due to this digitisation, machines become increasingly able to perform tasks that previously only humans could to. Production processes and organizations are changing, new products, services and business models emerge. These trends...