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School of Economics

The income distribution with multiple sources of survey error

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
School of Economics
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Daniels, Reza Che
Advisors dc:contributor.advisor
  • Leibbrandt, Murray
  • Wittenberg, Martin

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/5777
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/5777

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Daniels, Reza Che. The income distribution with multiple sources of survey error. School of Economics, 2013. http://hdl.handle.net/11427/5777