This paper examines the use of machine learning methods in modeling and forecasting time series with long memory through GARMA. By employing rigorous model selection criteria through simulation study, we find that the hybrid GARMA-LSTM model outperforms traditional approaches in forecasting...

The objective of the study is to assess the opportunity for the expansion of the Copernicus portfolio with the development of a new Copernicus product related to Ground Motion. This potential product will be referred as "Ground Motion Spatial Database for Europe" or "GMSDE". The goal of this...

How does the interaction between supranational and domestic institutions affect competition? We answer this question by investigating how the Euro has radically changed the rules of the competition game between firms. Using a staggered difference-in-differences design, we find that the Euro, as...

The years from 2013 to 2016 have been characterized by two major opposing pressures in the postal sector: (i) letter volume decline, and (ii) growth in e-commerce packets/parcels volume. These contrasting pressures underpin different challenges for all stakeholders in the postal sector. Whereas...

This technical report gives an overview of the data sources and methodologies used by the Joint Research Centre (JRC) to compile the dataset on structural indicators of small and medium-sized enterprises (SMEs) that are used in the annual SME Performance Review. The SME Performance Review is one...

The objective of this paper is to gain insight in and compare the macroeconomic effects of increasing wage subsidies for researchers in Belgium in different industries. Starting from the observation that the implicit wage subsidy rate for R&D workers is not distributed evenly across industries,...