New experiences in the production of business statistics: the construction of the “Frame SBS” and SBS - data warehouse
Francesco Altarocca (),
Diego Bellisai (),
Antonio Laureti Palma () and
Roberto Sanzo ()
Additional contact information
Francesco Altarocca: Italian National Institute of statistics
Diego Bellisai: Italian National Institute of statistics
Antonio Laureti Palma: Italian National Institute of statistics
Roberto Sanzo: Italian National Institute of statistics
Rivista di statistica ufficiale, 2016, vol. 18, issue 1, 99-121
Abstract:
This paper describes the first experience of data integration using administrative sources to estimate Structural Business Statistics (SBS) aggregates. It briefly shows the process that led to the construction of the “Frame”, the “integrated” dataset that is the base to derive SBS estimates from the year 2012. This approach represents an innovative way to produce business statistics: the use of direct surveys is limited in favour of the use of administrative data. Moreover, this paper presents an innovative IT proposal on how to combine the integrated production model and the warehouse approach for the production of Structural Business Statistics.This consists in a metadata-driven data warehouse of integrated SBS information which is well-suited for supporting the management of modules in generic workflows. Such a modular approach can improve the efficiency of collaboration among different statistical experts on common data.
Keywords: Frame; Business statistics; SBS; Administrative sources; Economic aggregates; Scientific workflow; Data Warehouse; Data integration; Process integration (search for similar items in EconPapers)
JEL-codes: C81 C88 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.istat.it/it/files/2016/11/6_sanzo.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:isa:journl:v:18:y:2016:i:3:p:99-121
Access Statistics for this article
More articles in Rivista di statistica ufficiale from ISTAT - Italian National Institute of Statistics - (Rome, ITALY) Contact information at EDIRC.
Bibliographic data for series maintained by Stefania Rossetti ().