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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

Author

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  • Gabriella Donatiello

    ()

  • Gianni Betti

    ()

  • Paolo Consolini

    ()

Abstract

According to the EU Regulation on European Statistics on Income and Living Conditions (EU-SILC), Italy will provide household gross income statistics starting from survey year 2007. Since in Italy both survey and fiscal data are used for the construction of the EU-SILC target variables, for the netgross conversion of income variables, Istat has experimented a new methodology using in conjunction a microsimulation model (Siena Micro-Simulation Model SM2- EU-SILC) and an exact record linkage between survey and fiscal data at micro level. The integration of microsimulation with register data has the advantage of using administrative data for the validation of microsimulation results. Since tax data have un incomplete coverage in respects of all surveyed individuals or in respects of some kind of social insurance contributions (i.e. employers’ contribution), SM2-EU-SILC could estimate those taxes and social insurance contributions not covered by register data. Finally, the use of microsimulation and administrative data improves the quality and the amount of information on gross income. This paper summarises the data production process and its main results, focussing on the joint use of SM2-EU SILC and on the records linkage between survey and administrative data as well.

Suggested Citation

  • 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.
  • Handle: RePEc:usi:wpaper:652
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    File URL: http://repec.deps.unisi.it/quaderni/652.pdf
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    References listed on IDEAS

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    1. 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. Misikhina, Svetlana, "undated". "Impact of Social Policy on the Welfare of Children in OECD Countries and Russia," Published Papers nvg138, Russian Presidential Academy of National Economy and Public Administration.
    2. 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.
    3. Andrea Albarea & Michele Bernasconi & Cinzia Di Novi & Anna Marenzi & Dino Rizzi & Francesca Zantomio, 2015. "Accounting for Tax Evasion Profiles and Tax Expenditures in Microsimulation Modelling. The BETAMOD Model for Personal Income Taxes in Italy," International Journal of Microsimulation, International Microsimulation Association, vol. 8(3), pages 99-136.

    More about this item

    Keywords

    EU-SILC; sample and administrative data; net-to-gross conversion; income distribution;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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