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Statistical matching techniques in order to plan interventions on socioeconomic weakness: An Italian case

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  • Perchinunno, Paola
  • Mongelli, Lucia
  • d’Ovidio, Francesco D.

Abstract

The techniques for integrating data from multiple sources have the objective of identifying records relating to similar or equal units. Moreover, they estimate the joint distribution of several variables observed on different data files and merge information records.

Suggested Citation

  • Perchinunno, Paola & Mongelli, Lucia & d’Ovidio, Francesco D., 2020. "Statistical matching techniques in order to plan interventions on socioeconomic weakness: An Italian case," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:soceps:v:71:y:2020:i:c:s0038012119300254
    DOI: 10.1016/j.seps.2020.100836
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    References listed on IDEAS

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    1. J. B. Copas & F. J. Hilton, 1990. "Record Linkage: Statistical Models for Matching Computer Records," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 153(3), pages 287-312, May.
    2. Nancy Ruggles & Richard Ruggles, 1974. "A Strategy for Merging and Matching Microdata Sets," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 2, pages 353-371, National Bureau of Economic Research, Inc.
    3. Pier Luigi Conti & Daniela Marella & Andrea Neri, 2017. "Statistical matching and uncertainty analysis in combining household income and expenditure data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 485-505, August.
    4. Jae Kwang Kim & J. N. K. Rao, 2012. "Combining data from two independent surveys: a model-assisted approach," Biometrika, Biometrika Trust, vol. 99(1), pages 85-100.
    5. Benjamin Okner, 1972. "Constructing a New Data Base from Existing Microdata Sets: The 1966 Merge File," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 325-362, National Bureau of Economic Research, Inc.
    6. Rodgers, Willard L, 1984. "An Evaluation of Statistical Matching," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(1), pages 91-102, January.
    7. Pier Luigi Conti & Daniela Marella & Mauro Scanu, 2016. "Statistical Matching Analysis for Complex Survey Data With Applications," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1715-1725, October.
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