Data integration techniques for the measurement of the reliability of sample variables Online publication date: Sat, 28-Jun-2014
by Silvestro Montrone; Paola Perchinunno
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 8, No. 4, 2013
Abstract: The objective of the present study is to investigate the possibility of developing an integrated database with information pertaining to the income of Italian families arising from two major surveys conducted by ISTAT (EU-SILC) and the Bank of Italy (household income survey). Since neither of the surveys has the scope to allow for the construction of a database of information pertaining to income, an integration has been sought between the data from the two archives, assuming that the surveys are reliable in terms of the accuracy of the sample design and control of the representativeness of the sample. The development of our analysis is primarily aimed at carrying out an in-depth comparison between the two surveys in terms of structure, definition of variables and sample homogeneity and secondly, through the use of an integrated dataset, at a verification measurement of the validity of the information, in particular, of the income component.
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