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  • This article presents an application of statistical matching methods to integrate the EU Statistics on Income and Living Conditions and the Household Budget Survey with the aim of creating a synthetic dataset that can permit an in-depth multidimensional analysis of households' economic poverty in Italy. The work takes stock of previous experiences done at the Italian National Institute of Statistics-Istat and proposes a modification of a well-known approach to the statistical matching of data from complex sample surveys. The redesigned method permits to create a synthetic dataset that preserves the marginal distribution of both the target variables. The proposed method is more complex than simpler donor-imputation methods and permits taking into account the final survey weights. The higher complexity requires some additional checks when validating the results of the whole application. Preliminary results, presented in this paper, are quite promising also because the work benefits from an accurate ex ante harmonisation strategy of the reference surveys and on the collection of useful data for the application of statistical matching methods. (xsd:string)
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  • 2022 (xsd:gyear)
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  • 2022 (xsd:gyear)
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  • 10.1481/ISTATRIVISTASTATISTICAUFFICIALE_3.2022.03 ()
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  • The joint distribution of income and consumption in Italy: an in-depth analysis on statistical matching (xsd:string)
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  • In rivista di statistica ufficiale, 2022(3), 77-109, 2022 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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  • 2022 (xsd:string)