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Propensity Score Matching: un'applicazione per la creazione di un database integrato ISTAT-Banca d'Italia

  • Sisto, Andrea

    ()

Il propensity score (Rosemabum e Rubin,1983) è ormai diventati l'approccio predominante nella letteratura della stima dei casual treatment effect. Tuttavia, recentemente i principali istituti nazionali di statistica hanno utilizzato tale strumento per integrare informazioni provenienti da fonti differenti. Infatti, le survey attualmente disponibili spesso mancano di tutte quelle variabili necessarie per condurre una rigorosa indagine economica e gli economisti sono spessa costretti a integrare tali informazioni ricorrendo procedimenti di matching. Tra le diverse tecniche di imputazione presenti in letteratura il propensity score offre l'indiscutibile vantaggio di ridurre un problema di integrazione potenzialmente multidimensionale a uno unidimensionale, riducendo il costo dell'operazione. Il presente contributo valuta l'efficacia di tale strumento nel generare un database integrato a partire dalla survey multiscopo ISTAT "Aspetti della vita quotidiana 2000" e l'indagine Banca d'Italia "Bilanci delle famiglie Italiane 2000".

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File URL: http://polis.unipmn.it/pubbl/RePEc/uca/ucapdv/sisto63.pdf
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Paper provided by Institute of Public Policy and Public Choice - POLIS in its series POLIS Working Papers with number 56.

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Length: 28 pages
Date of creation: Jan 2006
Date of revision:
Handle: RePEc:uca:ucapdv:56
Contact details of provider: Web page: http://polis.unipmn.it

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