{"title":"Studies on Regional Wealth Inequalities: the case of Italy","authors":"M. Ausloos, R. Cerqueti","doi":"10.12693/APhysPolA.129.959","DOIUrl":null,"url":null,"abstract":"The paper contains a short review of techniques examining regional wealth inequalities based on recently published research work but is also presenting unpublished features. \nThe data pertains to Italy (IT), over the period 2007-2011: the number of cities in regions, the number of inhabitants in cities and in regions, as well as the aggregated tax income of the cities and of regions. Frequency-size plots and cumulative distribution function plots, scatter plots and rank-size plots are displayed. The rank-size rule of a few cases is discussed. Yearly data of the aggregated tax income is transformed into a few indicators: the Gini, Theil, and Herfindahl-Hirschman indices. Numerical results confirm that IT is divided into very different regional realities. One region is selected for a short discussion: Molise. \nA note on the \"first digit Benford law\" for testing data validity is presented.","PeriodicalId":197400,"journal":{"name":"arXiv: Computational Finance","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Computational Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12693/APhysPolA.129.959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The paper contains a short review of techniques examining regional wealth inequalities based on recently published research work but is also presenting unpublished features.
The data pertains to Italy (IT), over the period 2007-2011: the number of cities in regions, the number of inhabitants in cities and in regions, as well as the aggregated tax income of the cities and of regions. Frequency-size plots and cumulative distribution function plots, scatter plots and rank-size plots are displayed. The rank-size rule of a few cases is discussed. Yearly data of the aggregated tax income is transformed into a few indicators: the Gini, Theil, and Herfindahl-Hirschman indices. Numerical results confirm that IT is divided into very different regional realities. One region is selected for a short discussion: Molise.
A note on the "first digit Benford law" for testing data validity is presented.