Data Integration Techniques for the Identification of Poverty Profiles
| Autor: | Paola Perchinunno, Laura Antonucci, Francesco Domenico D'Ovidio |
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| Rok vydání: | 2020 |
| Předmět: |
Sociology and Political Science
Relation (database) Poverty Public economics 05 social sciences General Social Sciences Public policy 050109 social psychology computer.software_genre Identification (information) Geography Arts and Humanities (miscellaneous) 0502 economics and business Developmental and Educational Psychology 0501 psychology and cognitive sciences Social inequality 050207 economics computer Record linkage Data integration Connotation |
| Zdroj: | Social Indicators Research. 156:515-531 |
| ISSN: | 1573-0921 0303-8300 |
| DOI: | 10.1007/s11205-019-02255-0 |
| Popis: | Economic connotation of poverty concerns mainly the level of household’s spending and income as privileged indicators. Sometimes, data sources have several lack of information, but such information is available in other data sources related to the same statistical units, or to other households. In order to identify records relating to the same or similar units belonging to two data archives, some methodologies (record linkage in the first case, statistical matching in the latter) are used for integrating data. In this study we illustrate a model of data integration between two surveys conducted by the Italian National Institute of Statistics (Statistics on Income and Living Conditions and Survey on Household Expenses). The construction of an integrated database starting from those two surveys is useful for studying consumer behaviours in relation to specific groups of goods, analysing decisions related to household savings, examining economic and social inequalities, such as studying the impact of public policies through simulations. |
| Databáze: | OpenAIRE |
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