The income distribution with multiple sources of survey error

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dc.contributor.advisorLeibbrandt, Murrayen_ZA
dc.contributor.advisorWittenberg, Martinen_ZA
dc.contributor.authorDaniels, Reza Cheen_ZA
dc.date.accessioned2014-07-31T12:26:42Z
dc.date.available2014-07-31T12:26:42Z
dc.date.issued2013en_ZA
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliographical references.
dc.description.abstractEstimating parameters of the income distribution in public-use micro datasets is frequently complicated by multiple sources of survey error. This dissertation consists of three main chapters that, taken together, provide insight into several important econometric concerns that arise when analysing income from household surveys. The country of interest is South Africa, but despite this geographical specificity, the discussion in each chapter is generalisable to any household survey concerned with measuring any component of income.en_ZA
dc.identifier.apacitationDaniels, R. C. (2013). <i>The income distribution with multiple sources of survey error</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,School of Economics. Retrieved from http://hdl.handle.net/11427/5777en_ZA
dc.identifier.chicagocitationDaniels, Reza Che. <i>"The income distribution with multiple sources of survey error."</i> Thesis., University of Cape Town ,Faculty of Commerce ,School of Economics, 2013. http://hdl.handle.net/11427/5777en_ZA
dc.identifier.citationDaniels, R. 2013. The income distribution with multiple sources of survey error. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Daniels, Reza Che AB - Estimating parameters of the income distribution in public-use micro datasets is frequently complicated by multiple sources of survey error. This dissertation consists of three main chapters that, taken together, provide insight into several important econometric concerns that arise when analysing income from household surveys. The country of interest is South Africa, but despite this geographical specificity, the discussion in each chapter is generalisable to any household survey concerned with measuring any component of income. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - The income distribution with multiple sources of survey error TI - The income distribution with multiple sources of survey error UR - http://hdl.handle.net/11427/5777 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5777
dc.identifier.vancouvercitationDaniels RC. The income distribution with multiple sources of survey error. [Thesis]. University of Cape Town ,Faculty of Commerce ,School of Economics, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5777en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentSchool of Economicsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherEconomicsen_ZA
dc.titleThe income distribution with multiple sources of survey erroren_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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