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Estimating Business Statistics by integrating administrative and survey data: an experimental study on small and medium enterprises

Author

Listed:
  • Orietta Luzi

    (Italian National Institute of Statistics)

  • Gianni Seri

    (Italian National Institute of Statistics)

  • Viviana De Giorgi

    (Italian National Institute of Statistics)

  • Giampiero Siesto

    (Italian National Institute of Statistics)

Abstract

The paper deals with the problem of estimating structural business statistics by exploiting already existing administrative information integrated with survey data. In particular, the aim of the study is to verify the possibility of estimating key structural variables which are not directly available from administrative sources: this implies the need of using either estimation or imputation models to derive the required estimates. In the present paper, the attention is focused on the variables relating to changes in stocks of goods and services investigated in the annual survey on small and medium enterprises (Small and medium enterprise survey -SME): different imputation strategies are experimentally evaluated depending on the different scenarios corresponding to the various response patterns determined by the availability of the analysed variables in one, more or none of the considered administrative archives.

Suggested Citation

  • Orietta Luzi & Gianni Seri & Viviana De Giorgi & Giampiero Siesto, 2013. "Estimating Business Statistics by integrating administrative and survey data: an experimental study on small and medium enterprises," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 31-50.
    • Handle: RePEc:isa:journl:v:15:y:2013:i:2-3:p:31-50
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    File URL: http://www.istat.it/it/files/2014/03/31-50.pdf
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    References listed on IDEAS

    as
    1. Marco Bee & Roberto Benedetti & Giuseppe Espa, 2007. "A framework for cut-off sampling in business survey design," Department of Economics Working Papers 0709, Department of Economics, University of Trento, Italia.
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    Cited by:

    1. Silvana Curatolo & Viviana De Giorgi & Filippo Oropallo & Augusto Puggioni & Giampiero Siesto, 2016. "Quality analysis and harmonization issues in the context of “Frame SBS”," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 18(1), pages 15-46.

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    More about this item

    Keywords

    structural business statistics; administrative data; data integration; imputation.;
    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
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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