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

Orietta Luzi (), Gianni Seri (), Viviana de Giorgi () and Giampiero Siesto ()
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Orietta Luzi: Italian National Institute of Statistics
Gianni Seri: Italian National Institute of Statistics
Giampiero Siesto: Italian National Institute of Statistics

Rivista di statistica ufficiale, 2013, vol. 15, issue 2-3, 31-50

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.

Keywords: structural business statistics; administrative data; data integration; imputation. (search for similar items in EconPapers)
JEL-codes: C81 C83 (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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