The Measurement and Distribution of Household Wealth in South Africa using the National Income Dynamics Study (NIDS) Wave 4

SALDRU Repository

Show simple item record

dc.contributor.author Daniels, Reza C.
dc.contributor.author Augustine, Taryn
dc.date.accessioned 2016-10-19T12:47:14Z
dc.date.available 2016-10-19T12:47:14Z
dc.date.issued 2016-08
dc.identifier.citation Daniels, R.C., Augustine, T. (2016). The measurement and distribution of household wealth in South Africa using the National Income Dynamics Study (NIDS) Wave 4. Cape Town: SALDRU, University of Cape Town. SALDRU Working Paper Number 183/ NIDS Discussion Paper 2016/10.
dc.identifier.isbn 978-1-928281-44-3
dc.identifier.uri http://hdl.handle.net/11090/841
dc.description.abstract This paper examines the household wealth construct as measured in NIDS Wave 4 (2014‐2015). Questionnaire design changes in the wealth module between NIDS Waves 2 and 4 include the addition of questions on household possessions assets and the inclusion of a variable for private property versus communal property rights. For derived household net worth, the inclusion of household possessions assets reduces estimates of household inequality in Wave 4 compared to Wave 2, and alters the portfolio composition of household assets most markedly for low income households. A unique feature of NIDS Wave 4 is that it now allows for accurate identification of South Africa’s dual land tenure system. In Tribal Authority Areas (TAAs), households rarely have to finance the acquisition of a home partly because of communal property rights. This results in a very different portfolio of household liabilities than in other areas in the country, where real estate debt dominates the liability portfolio. When comparing NIDS aggregated national totals for estimates of household assets, liabilities and net worth with South African Reserve Bank (SARB) totals that use the national accounts, the NIDS Wave 4 data differs from the SARB data most significantly for financial assets, which are severely under‐estimated in NIDS. This is likely a result of disproportionately high attrition among high‐income households in the sample over time that cannot be compensated for sufficiently with survey weights. This suggests that it is urgent that the NIDS sample be refreshed, with an oversampling of high‐income households necessary. en_US
dc.description.sponsorship Reza C. Daniels: School of Economics, University of Cape Town: reza.daniels@uct.ac.za Taryn Augustine: Southern Africa Labour & Development Research Unit (SALDRU): tarynaugustine@gmail.com Acknowledgements: Funding for this research from the Department of Planning, Monitoring and Evaluation is gratefully acknowledged. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Saldru Working Papers;183
dc.title The Measurement and Distribution of Household Wealth in South Africa using the National Income Dynamics Study (NIDS) Wave 4 en_US
dc.type Working Paper en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search OpenSALDRU


Browse

My Account

Statistics