Central Data Catalog

Citation Information

Type Report
Title Exploring the quality of income data in two South African household surveys which underpin SAMOD
Author(s)
Publication (Day/Month/Year) 2020
URL https://www.wider.unu.edu/sites/default/files/Projects/PDF/SOUTHMOD-Technical-note-Assessing-quality​-income-data-SAMOD.pdf
Abstract
This technical note provides additional information to complement two recent working papers that use SAMOD, a tax-benefit microsimulation model for South Africa. The first paper focuses on the quality of the income data in SAMOD’s underpinning datasets for the purpose of simulating personal income tax (PIT) (Wright et al. 2018). The second working paper explores the quality of income data in household surveys from Tanzania and Zambia and applies one of the income imputation techniques to a South African dataset (McLennan et al. forthcoming).

Related studies

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Barnes, Helen, David McLennan, Michael Noble, and Gemma Wright. Exploring the quality of income data in two South African household surveys which underpin SAMOD. 2020.
Copyright DataFirst, University of Cape Town