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Estimation of Structural Business Statistics for Small Firms by Using Administrative Data

Author

Listed:
  • Maria Cristina Casciano

    ()

  • Viviana De Giorgi

    ()

  • Filippo Oropallo

    ()

  • Giampiero Siesto

    () (Italian National Institute of Statistics)

Abstract

The need of handling missing response and potential bias in the estimation of business statistics has brought to exploit new possibilities offered by administrative sources in the estimation of Structural Business Statistics (SBS) for small-medium enterprises. The joint use of fiscal agency sources and balance sheet data with survey data, has led to a more integrated approach in the production process. The purpose of this work is to describe the new integrated approach and of measuring the reduction of the sampling error with the new estimation process by distinguishing a source effect from the non response effect. The paper is articulated in the following steps: (i) analysis of the coverage of the survey units through administrative sources by stratification variables, such as the economic activity, the number of persons employed and the legal form; (ii) comparison of meaning and content of the variables from balance sheets and tax data with the corresponding SBS variables; (iii) imputation of unit non-response through administrative data and re-weighting of the final sample to obtain a new estimate for 2007; (iv) evaluation of the discrepancy between the old and the new estimates and evaluation of the non response effect.

Suggested Citation

  • Maria Cristina Casciano & Viviana De Giorgi & Filippo Oropallo & Giampiero Siesto, 2011. "Estimation of Structural Business Statistics for Small Firms by Using Administrative Data," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 13(2-3), pages 55-74.
  • Handle: RePEc:isa:journl:v:13:y:2011:i:2-3:p:55-74
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    File URL: http://www.istat.it/it/files/2012/04/terzocapitolo.pdf
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    References listed on IDEAS

    as
    1. Ec. Filippo Oropallo & Ec. Lorenzo Lo Cascio, 2007. "The Development of a Multisource and a Systematized Database for Economic and Policy Impact Analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 2(2(507)), pages 13-32, February.
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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.
    2. Paolo Righi, 2016. "Estimation procedure and inference for component totals of the economic aggregates in the “Frame SBS”," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 18(1), pages 83-97.
    3. Andrzej Młodak, 2013. "Coherence and comparability as criteria of quality assessment in business statistics," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(2), pages 287-318, June.

    More about this item

    Keywords

    Unit non-response; Micro integration; Administrative sources; Calibration estimators; Sampling error;

    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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