Accurate network data are essential in fields such as economics, finance, sociology, epidemiology, and computer science. However, real-world constraints often prevent researchers from collect- ing a complete adjacency matrix, compelling them to rely on partial or aggregated information. One...

Big data offers many opportunities for official statistics: for example increased resolution, better timeliness, and new statistical outputs. But there are also many challenges: uncontrolled changes in sources that threaten continuity, lack of identifiers that impedes linking to population...

As the most populous nation in Africa, Nigeria is uniquely positioned to reap the benefits of the emerging digital economy. And by accelerating access to digital technologies spurs innovation, efficiency and productivity which brings about choice and opportunities for greater growth and...

During the 2008-2010 financial crisis, OECD and IMF changed the definition of foreign direct investment (FDI) to get better information on intra-company financing activity. The new definition gives financing activities by subsidiary affiliates of multinational companies the same status as...

In this paper, we propose an alternative method that applies the model reduction techniques to the VAR framework when the number of variables is sufficiently large. The relevance of the model reduction in the VAR and SVAR systems comes from that the new trajectories preserve the qualitative...

This paper develops a Mean Group Instrumental Variables (MGIV) estimator for spatial dynamic panel data models with interactive effects, under large N and T asymptotics. Unlike existing approaches that typically impose slope-parameter homogeneity, MGIV accommodates cross-sectional heterogeneity...

The purpose of this paper is to explain the effect that economic sectors exert on the national income of West African countries during the last decade. Since the post-colonial era, agriculture has been the primary and the predominant sector of West African economies. However, since the late...

The last years have seen an explosion in the demand for data science skills. In this paper, I introduce the reader to the term, point out the technological jumps that allowed the rise of its methods, and give an overview of the most common ones. I close by pointing out the strengths and...

The measurement of sports performances both of individual athletes and of an entire sports team, now highly widespread thanks to the enormous availability of sports data, is a crucial moment for professional sports clubs as the their survival is increasingly linked both to the results in the...

GDP is very important to be monitored in real time because of its usefulness for policy making. We built and compared the ML models to forecast real-time Indonesia's GDP growth. We used 18 variables that consist a number of quarterly macroeconomic and financial market statistics. We have...