The income distribution with multiple sources of survey error

Includes abstract. === Includes bibliographical references. === 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 se...

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Main Author:	Daniels, Reza Che
Other Authors:	Leibbrandt, Murray
Format:	Doctoral Thesis
Language:	English
Published:	University of Cape Town 2014
Subjects:	Economics
Online Access:	http://hdl.handle.net/11427/5777

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spelling	ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-57772020-07-22T05:07:56Z The income distribution with multiple sources of survey error Daniels, Reza Che Leibbrandt, Murray Wittenberg, Martin Economics Includes abstract. Includes bibliographical references. 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. 2014-07-31T12:26:42Z 2014-07-31T12:26:42Z 2013 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/5777 eng application/pdf University of Cape Town Faculty of Commerce School of Economics
collection	NDLTD
language	English
format	Doctoral Thesis
sources	NDLTD
topic	Economics
spellingShingle	Economics Daniels, Reza Che The income distribution with multiple sources of survey error
description	Includes abstract. === Includes bibliographical references. === 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.
author2	Leibbrandt, Murray
author_facet	Leibbrandt, Murray Daniels, Reza Che
author	Daniels, Reza Che
author_sort	Daniels, Reza Che
title	The income distribution with multiple sources of survey error
title_short	The income distribution with multiple sources of survey error
title_full	The income distribution with multiple sources of survey error
title_fullStr	The income distribution with multiple sources of survey error
title_full_unstemmed	The income distribution with multiple sources of survey error
title_sort	income distribution with multiple sources of survey error
publisher	University of Cape Town
publishDate	2014
url	http://hdl.handle.net/11427/5777
work_keys_str_mv	AT danielsrezache theincomedistributionwithmultiplesourcesofsurveyerror AT danielsrezache incomedistributionwithmultiplesourcesofsurveyerror
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The income distribution with multiple sources of survey error

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