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

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  • Sisto, Andrea

Abstract

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".

Suggested Citation

  • Sisto, Andrea, 2006. "Propensity Score Matching: un'applicazione per la creazione di un database integrato ISTAT-Banca d'Italia," POLIS Working Papers 56, Institute of Public Policy and Public Choice - POLIS.
    • Handle: RePEc:uca:ucapdv:56
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    1. Carla Marchese, 2009. "Rewarding the Consumer for Curbing the Evasion of Commodity Taxes?," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 65(4), pages 383-402, December.
    2. Ottone, Stefania, 2006. "fairness: a survey," POLIS Working Papers 57, Institute of Public Policy and Public Choice - POLIS.
    3. Giovanni B. Ramello, 2006. "What'S In A Sign ? Trademark Law And Economic Theory," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 547-565, September.
    4. Giovanni B. Ramello & Francesco Silva, 2006. "Appropriating signs and meaning: the elusive economics of trademark," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 15(6), pages 937-963, December.
    5. Elena Pisano & Simone Tedeschi, 2014. "Micro Data Fusion of Italian Expenditures and Incomes Surveys," Working Papers in Public Economics 164, University of Rome La Sapienza, Department of Economics and Law.
    6. Stefania Ottone, 2008. "Are people Samaritans or Avengers?," Economics Bulletin, AccessEcon, vol. 3(10), pages 1-3.
    7. Cristina Cirillo & Lucia Imperioli & Marco Manzo, 2021. "The Value Added Tax Simulation Model: VATSIM-DF (II)," Working Papers wp2021-12, Ministry of Economy and Finance, Department of Finance.
    8. Nicita Antonio & Ramello Giovanni B., 2007. "Property, Liability and Market Power: The Antitrust Side of Copyright," Review of Law & Economics, De Gruyter, vol. 3(3), pages 767-791, December.
    9. Ortona, Guido & Ottone, Stefania & Ponzano, Ferruccio & Scacciati, Francesco, 2008. "Labour supply in presence of taxation financing public services. An experimental approach," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 619-631, November.
    10. Cugno Franco & Ottoz Elisabetta, 2006. "Static Inefficiency of Compulsory Licensing: Quantity vs. Price Competition," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200606, University of Turin.
    11. Breton, Albert & Scott, Anthony & Fraschini, Angela, 2007. "Explaining differences in environmental governance patterns between Canada, Italy and the United States," POLIS Working Papers 87, Institute of Public Policy and Public Choice - POLIS.
    12. Chiara Elena Dalla & Menon Martina & Perali Federico, 2019. "An Integrated Database to Measure Living Standards," Journal of Official Statistics, Sciendo, vol. 35(3), pages 531-576, September.
    13. Bissey, Marie-Edith & Ortona, Guido, 2007. "The program for the simulation of electoral systems ALEX4.1: what it does and how to use it," POLIS Working Papers 82, Institute of Public Policy and Public Choice - POLIS.
    14. Stefania Ottone & Ferrucio Ponzano & Roberto Ricciuti, 2009. "Simulating Voting Rule Reforms for the Italian Parliament: An Economic Perspective," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 3(3), pages 292-304, October.
    15. Bia, Michela, 2007. "The Propensity Score method in public policy evaluation: a survey," POLIS Working Papers 79, Institute of Public Policy and Public Choice - POLIS.
    16. Silva Marzetti Dall'Aste Brandolini & Marta Disegna, 2015. "ICZM and WTP of Stakeholders for Beach Conservation: Policymaking Suggestions from an Italian Case Study," Tourism Economics, , vol. 21(3), pages 601-628, June.
    17. Marchese, Carla & Privileggi, Fabio, 2007. "Increasing the efficiency of the 'Studi di Settore' might backfire," POLIS Working Papers 83, Institute of Public Policy and Public Choice - POLIS.
    18. Bia, Michela & Mattei, Alessandra, 2007. "Application of the Generalized Propensity Score. Evaluation of public contributions to Piedmont enterprises," POLIS Working Papers 80, Institute of Public Policy and Public Choice - POLIS.

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