This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy (Household Income Survey). The construction of an integrated database based on these surveys is useful for studying consumer behavior in relation to specific commodity groups, analyzing household savings decisions, assessing economic and social inequality, and evaluating the impact of public policies through simulations. The coexistence of multiple and diverse objectives necessitates a highly general and versatile integrated file, providing detailed information on spending patterns, savings levels, income distribution, occupational conditions of household members, and more.
Data Integration Techniques for the Construction of an Integrated Database on the Economic Sustainability of Italian Families
Perchinunno P.;Massari A.;Crocetta C.;
2025-01-01
Abstract
This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy (Household Income Survey). The construction of an integrated database based on these surveys is useful for studying consumer behavior in relation to specific commodity groups, analyzing household savings decisions, assessing economic and social inequality, and evaluating the impact of public policies through simulations. The coexistence of multiple and diverse objectives necessitates a highly general and versatile integrated file, providing detailed information on spending patterns, savings levels, income distribution, occupational conditions of household members, and more.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
