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Integrating rather than collecting: statistical matching in the data flood era.

Authors :
D'Alberto, Riccardo
Raggi, Meri
Source :
Statistical Papers; Jun2024, Vol. 65 Issue 4, p2135-2163, 29p
Publication Year :
2024

Abstract

Statistical matching is progressively emerging as a straightforward approach to data integration. This method of increasing importance and interest is useful to address the unsolved challenges posed by data shortage as well as the several opportunities occurring in the present data flood era. This paper offers an exhaustive review of the methodology from its early beginnings up to the most recent developments, considering also the most relevant applications. The links that statistical matching has with other integration methods are discussed, analysing how a 50-year-old method has been only recently proposed under a consistent but (yet) incomplete framework. Strengths and weaknesses of statistical matching are compared, considering different data features and sample representativeness frameworks, also, given future research ideas, always keeping an eye on uncertainty, the key problem to which statistical matching tries to answer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09325026
Volume :
65
Issue :
4
Database :
Complementary Index
Journal :
Statistical Papers
Publication Type :
Academic Journal
Accession number :
177597515
Full Text :
https://doi.org/10.1007/s00362-023-01468-3