IDEAS home Printed from https://ideas.repec.org/a/isa/journl/v13y2011i2-3p55-74.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.istat.it/it/files/2012/04/terzocapitolo.pdf
    Download Restriction: no
    ---><---

    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 / Editura Economica, vol. 2(2(507)), pages 13-32, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Reister, Timo & Spengel, Christoph & Finke, Katharina & Heckemeyer, Jost Henrich, 2008. "ZEW Corporate Taxation Microsimulation Model (ZEW TaxCoMM)," ZEW Discussion Papers 08-117, ZEW - Leibniz Centre for European Economic Research.
    2. Filippo Oropallo, 2004. "Enterprise Microsimulation Models And Data Challenges," Public Economics 0409005, University Library of Munich, Germany.

    More about this item

    Keywords

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:isa:journl:v:13:y:2011:i:2-3:p:55-74. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stefania Rossetti (email available below). General contact details of provider: https://edirc.repec.org/data/istgvit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.