Title: Modelling international trade data with the Tweedie distribution for anti-fraud and policy support
Authors: BARABESI LucioCERASA ANDREAPERROTTA DomenicoCERIOLI Andrea
Citation: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH vol. 248 no. 3 p. 1031-1043
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2016
JRC N°: JRC90417
ISSN: 0377-2217
URI: http://www.sciencedirect.com/science/article/pii/S0377221715007985
http://publications.jrc.ec.europa.eu/repository/handle/JRC90417
DOI: 10.1016/j.ejor.2015.08.042
Type: Articles in periodicals and books
Abstract: This paper shows the potential of the Tweedie distribution in the analysis of international trade data. The availability of a flexible model for describing traded quantities is important for several reasons. First, it can provide direct support to policy makers. Second, it allows the assessment of the statistical performance of anti-fraud tools on a large number of data sets artificially generated with known statistical properties, which must comply with real world scenarios. We see the advantages of adopting the Tweedie model in several data sets which are particularly relevant in the anti-fraud context and which show non-trivial features. We also provide a systematic outline of the genesis of the Tweedie distribution and we address a number of relevant statistical and computational issues, such as the development of efficient algorithms both for parameter estimation and for random variate generation.
JRC Directorate:Space, Security and Migration

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