Abstract

The objective of the techniques of integration for data from a number of different sources is to identify records relating to similar or identical units, to estimate the unified distribution of a number of variables observed in different data archives and to merge informative records. The present work will describe a model of data integration through a methodology of Statistical Matching (hot deck distance) for the integration of two surveys (Eu-Silc Istat and Lifestyle Survey University of Bari). The construction of an integrated database on the basis of these two surveys may be useful for the study of consumer behavior in relation to specific groups of commodities, in order to analyse the decisions taken by families with regard to saving, to examine economic and social inequality, and to study the impact of public policies by means of simulations. The coexistence of multiple and differentiated objectives triggers the need to obtain a very general and versatile integrated file, which provides ongoing detailed information on the different types of spending, on levels of saving, on the distribution of incomes, on the occupational conditions of the members of the family unit, etc.

Autore Pugliese

• Perchinunno Paola , Montrone Silvestro

Tutti gli autori

• PERCHINUNNO P.;MONTRONE S.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2013

ISSN

0302-9743

ISBN

978-3-642-39648-9

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

1

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

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Codici ASJC

Non Disponibile