Topics of statistical theory for register-based statistics and data integration

Zhang, Li-Chun (2011) Topics of statistical theory for register-based statistics and data integration Statistica Neerlandica, 66, (1), pp. 41-63. (doi:10.1111/j.1467-9574.2011.00508.x).


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Official statistics production based on a combination of data sources, including sample survey, census and administrative registers, is becoming more and more common. Reduction of response burden, gains of production cost efficiency as well as potentials for detailed spatial-demographic and longitudinal statistics are some of the major advantages associated with the use of integrated statistical data. Data integration has always been an essential feature associated with the use of administrative register data. But survey and census data should also be integrated, so as to widen their scope and improve the quality. There are many new and difficult challenges here that are beyond the traditional topics of survey sampling and data integration. In this article we consider statistical theory for data integration on a conceptual level. In particular, we present a two-phase life-cycle model for integrated statistical microdata, which provides a framework for the various potential error sources, and outline some concepts and topics for quality assessment beyond the ideal of error-free data. A shared understanding of these issues will hopefully help us to collocate and coordinate efforts in future research and development.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/j.1467-9574.2011.00508.x
ISSNs: 0039-0402 (print)
Keywords: combination of sources, data life cycle, representation, measurement, validity, equivalence, record linkage, statistical matching, micro integration, micro calibration
Organisations: Statistical Sciences Research Institute
ePrint ID: 345157
Date :
Date Event
15 November 2011e-pub ahead of print
February 2012Published
Date Deposited: 09 Nov 2012 17:04
Last Modified: 17 Apr 2017 16:23
Further Information:Google Scholar

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