L
Luca De Benedictis
Researcher at University of Macerata
Publications - 82
Citations - 2117
Luca De Benedictis is an academic researcher from University of Macerata. The author has contributed to research in topics: Gravity model of trade & European union. The author has an hindex of 21, co-authored 81 publications receiving 1887 citations. Previous affiliations of Luca De Benedictis include Libera Università Internazionale degli Studi Sociali Guido Carli.
Papers
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Journal ArticleDOI
The World Trade Network
Luca De Benedictis,Lucia Tajoli +1 more
TL;DR: In this article, the authors used the tools of network analysis and graph theory to graphically and analytically represent the characteristics of world trade and compared the structure of the World Trade Network over time, detecting and interpreting patterns of trade ties among countries.
Book ChapterDOI
The Gravity Model in International Trade
TL;DR: In this article, the authors show how some of the issues raised by Jan Tinbergen have been the step stones of a 50-year long research agenda, and how the numerous empirical and theoretical contributions that followed dealt with old problems and highlighted new ones.
Journal ArticleDOI
Network Analysis of World Trade using the BACI-CEPII Dataset
TL;DR: From the visualization of the World Trade Network, its topology is defined and described, both in its binary version and in its weighted version, by calculating and discussing a number of the commonly used network statistics.
Journal ArticleDOI
Overall Specialization Empirics: Techniques and Applications
TL;DR: A research strategy based on descriptive statistics, kernel density estimation, concentration and Markov stationarity methods is proposed in order to analyze the dynamics of overall specialization.
Journal ArticleDOI
A Note on the Balassa Index of Revealed Comparative Advantage
TL;DR: In this article, the pros and cons of the most commonly used RCA index: the Balassa (1965) Index of RCA measures are explored, and two different normalizations of the original index were proposed to remedy some of the shortcomings of original index and propose an alternative and more traditional strategy in order to analyze the dynamics of specialization.