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New estimation methodology of absolute poverty in Italy: an example of integrated use of different data sources, Valeria de Martino (Italy)

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In the paper presented in the meeting of the UNECE Group of Experts on Measuring Poverty and Inequality held in December 2022, the authors discussed the potential of two innovative data sources and some preliminary results obtained within the project of the Italian National Statistical Institute (Istat) on revising and updating the Italian estimation methodology of absolute poverty.

Recently Istat has completed the above-mentioned project and, indeed, estimated the thresholds using two new available data sources (currently used to estimate CPIs): the scanner data for food components (largely used in prices data collection in addition to traditional methods) and, the database of rental contracts provided by the Italian Tax Office (a typical administrative data source).