Central Data Catalog
Citation Information
Type | Working Paper - WIDER Working Paper 2018/173 |
Title | Assessing the quality of the income data used in SAMOD, a South African tax-benefit microsimulation model |
Author(s) | |
Publication (Day/Month/Year) | 2018 |
URL | https://www.wider.unu.edu/sites/default/files/Publications/Working-paper/PDF/wp2018-173.pdf |
Abstract | In this paper we explore the income data in two surveys that underpin a South African tax-benefit microsimulation model. The simulated taxes and benefits using each dataset are compared with each other and with administrative data for a common time point. We explore discrepancies between the simulated and administrative data on personal income tax, with reference to the distribution of tax payers and the amount of tax simulated. Both surveys suffer from unit missing or item implausible cases for high income individuals. The paper concludes by highlighting the potential for administrative data to further enhance the quality of the model’s underpinning dataset(s). |
Related studies
» | South Africa - Living Conditions Survey 2014-2015, Statistics South Africa |
» | South Africa - National Income Dynamics Study 2014-2015, Wave 4, Southern Africa Labour and Development Research Unit - University of Cape Town |
Wright, Gemma, Helen Barnes, Michael Noble, David McLennan , and Faith Masekesa. "Assessing the quality of the income data used in SAMOD, a South African tax-benefit microsimulation model." WIDER Working Paper 2018/173 (2018).