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By using methods of statistical physics, we focus on the quantitativeanalysis of the economic income data descending from different databases. Toexplain our approach, we introduce the necessary theoretical background, theextended Yakovenko et al. (EY) model. This model gives an analyticaldescription of the annual household incomes of all society classes in theEuropean Union (i.e., the low-, medium-, and high-income ones) by a singleunified formula based on unified formalism. We show that the EY model is veryuseful for the analyses of various income datasets, in particular, in the caseof a smooth matching of two different datasets. The completed database which wehave constructed using this matching emphasises the significance of thehigh-income society class in the analysis of all household incomes. Forinstance, the Pareto exponent, which characterises this class, defines the Zipflaw having an exponent much lower than the one characterising the medium-incomesociety class. This result makes it possible to clearly distinguish betweenmedium- and high-income society classes. By using our approach, we found thatthe high-income society class almost disappeared in 2009, which defines thisyear as the most difficult for the EU. To our surprise, this is a contrast with2008, considered the first year of a worldwide financial crisis, when thestatus of the high-income society class was similar to that of 2010. This,perhaps, emphasises that the crisis in the EU was postponed by about one yearin comparison with the United States.

Modelling the income distribution in the European Union: An application for the initial analysis of the recent worldwide financial crisis