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dc.contributor.authorSanti, Matteo
dc.date.accessioned2020-07-10T13:17:06Z
dc.date.available2020-07-10T13:17:06Z
dc.date.issued2020-07-10
dc.identifier.urihttp://hdl.handle.net/2077/65641
dc.descriptionMSc in Economicssv
dc.description.abstractThis paper investigates alternative statistical approaches to ungroup data in tabular form. After a theoretical discussion on the interpolation problem and on the features of ungrouping techniques, a non-parametric version of the algorithm of Shorrocks and Wan is introduced. The effectiveness of the different methods is assessed using recent microdata on Italian incomes available in the Bank of Italy's Survey on Households Income and Wealth. Taking advantage of this evaluation, the most suitable ungrouping methods are applied to the Doxa Survey of 1948, the first research on Italian households' incomes based on a probability sampling procedure. Lastly, the reconstructed samples of historical microdata are used to compute inequality and poverty measuressv
dc.language.isoengsv
dc.relation.ispartofseriesMaster Degree Projectsv
dc.relation.ispartofseriesReport nr:2020:168sv
dc.subjectData Ungroupingsv
dc.subjectQuantitative Economic History,sv
dc.subjectInequalitysv
dc.subjectPovertysv
dc.titleUngrouping Income Distributions - The Italian Doxa Survey of 1948sv
dc.typeText
dc.setspec.uppsokSocialBehaviourLaw
dc.type.uppsokH2
dc.contributor.departmentUniversity of Gothenburg/Graduate Schooleng
dc.contributor.departmentGöteborgs universitet/Graduate Schoolswe
dc.type.degreeMaster 2-years


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