464 research outputs found
Three Decades of Italian Comparative Advantages
No full textThe paper explores the structure of Italian Revealed Comparative Advan- tages (RCA), focusing on the export structure itself, on its changes over time and on its degree of persistence. The analysis is developed with the use of visual statistical tools and nonparametric statistical techniques that allow to estimate the empirical distribution of the Balassa (1965) Index, and to track its dynamics during three decades, from the 1970s to present.
The main results of the analysis are that the structure of Italian RCA is highly persistent, but is changing; the structure is very different when it is examined at a macro-regional level; the distribution is not so similar to the one of the NICs when it is examined at a high level of sectoral disaggregation. Finally, using export data disaggregated at the provincial level, we show that the persistence in the pattern of RCA appears to be positively related to the presence of industrial districts
Overall Specialization Empirics: Techniques and Applications
No full textIt is customary in the empirical trade literature to analyze specialization patterns of countries using Revealed Comparative Advantage (RCA) measures. This paper explores the informational content of the most commonly used RCA index: the Balassa (1965) Index of RCA.
After describing the properties of the Balassa Index, we propose a research strategy based on descriptive statistics, kernel density estimation, concentration and Markov stationarity methods in order to analyze the dynamics of overall specializatio
European Cooperation for Statistics of Network Data Science (COSTNET)
No full textA major challenge in many modern economic, epidemiological, ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed how preventing epidemics relies on a keen understanding of random interactions in social networks, whereas progress in curing complex diseases is aided by a robust data-driven network approach to biology.
Although analysis of data on networks goes back to at least the 1930s, the importance of statistical network modelling for many areas of substantial science has only been recognised in the past decade. The USA is at the forefront of institutionalizing this field of science through various interdisciplinary projects and networks. Also in Europe there are excellent statistical network scientists, but until now cross-disciplinary collaboration has been slow.
This Action aims to facilitate interaction and collaboration between diverse groups of statistical network modellers, establishing a large and vibrant interconnected and inclusive community of network scientists. The aim of this interdisciplinary Action is two-fold. On the scientific level, the aim is to critically assess commonalities and opportunities for cross-fertilization of statistical network models in various applications, with a particular attention to scalability in the face of Big Data. On a meta-level, the aim is to create a broad community which includes researchers across the whole of Europe and at every stage in their scientific career and to facilitate contact with stakeholders
Italian Economic Journal
No full textItalian Economic Journal (ItEJ) is the official peer-reviewed journal of the Italian Economic Association. ItEJ publishes scientific articles in all areas of economics and economic policy, providing a scholarly, international forum for all methodological approaches and schools of thought. In particular, ItEJ aims at encouraging and disseminating high-quality research on the Italian and the European economy. To fulfill this aim, the journal welcomes applied, institutional and theoretical papers on relevant and timely issues concerning the European and Italian economic debate.
ItEJ merges the Rivista Italiana degli Economisti (RIE), the journal founded by the Italian Economic Association in 1996, with the Giornale degli Economisti (GdE), founded in 1875 and enriched by contributions from renowned economists, including Amoroso, Black, Barone, De Viti de Marco, Edgeworth, Einaudi, Modigliani, Pantaleoni, Pareto, Slutsky, Tinbergen and Walras
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