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Multi-source data collection strategy and microsimulation techniques for the Italian EU-SILC

Author

Listed:
  • Paolo Consolini

    (Italian National Institute of Statistics)

  • Gabriella Donatiello

    (Italian National Institute of Statistics)

Abstract

This chapter presents the multi-source data collection strategy that has been developed at the Italian National Institute of Statistics since 2004 for the EU-SILC project with a focus on the integration methodology that has been implemented to build net and gross income target variables. The first part of the paper describes the imputation and correction processes carried out by Istat to obtain the final income variables. The second part of the study explains the complex and innovative methodology devised to setup and use a microsimulation model when multiple integrated data sources are available, a task that goes far beyond the traditional “gross to net” (or “net to gross”) conversion of survey incomes. The results show that combining microsimulations with integrated survey and administrative data definitely enhances data quality.

Suggested Citation

  • Paolo Consolini & Gabriella Donatiello, 2015. "Multi-source data collection strategy and microsimulation techniques for the Italian EU-SILC," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(2), pages 77-96.
    • Handle: RePEc:isa:journl:v:17:y:2015:i:2:p:77-96
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    File URL: http://www.istat.it/it/files/2015/10/5-Multi-source-data-collection-strategy.pdf
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    References listed on IDEAS

    as
    1. Gabriella Donatiello & Gianni Betti & Paolo Consolini, 2012. "The Construction of Gross Income Variables of Eusilc (Eu Statistics on Income and Living Conditions) in Italy: A Mixed Strategy Using Microsimulation and Administrative Data," Department of Economics University of Siena 652, Department of Economics, University of Siena.
    2. Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
    3. Gianni Betti & Gabriella Donatiello & Vijay Verma, 2011. "The siena microsimulation model (sm2) for net-gross conversion of eu-silc income variables," International Journal of Microsimulation, International Microsimulation Association, vol. 4(1), pages 35-53.
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    Cited by:

    1. Paolo Di Caro, 2017. "The contribution of tax statistics for analysing regional income disparities in Italy," Journal of Income Distribution, Ad libros publications inc., vol. 25(1), pages 1-27, March.

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    More about this item

    Keywords

    Administrative Data; Survey Data; Data Integration; Microsimulation; Income; Multi-mode data collection; Record linkage.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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