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<title>Population Dynamics and Migration</title>
<link>http://hdl.handle.net/123456789/746</link>
<description/>
<items>
<rdf:Seq>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/804"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/763"/>
<rdf:li rdf:resource="http://hdl.handle.net/123456789/750"/>
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</items>
<dc:date>2026-04-13T12:25:48Z</dc:date>
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<item rdf:about="http://hdl.handle.net/123456789/804">
<title>Adapting the South African National Income Dynamics Study for use as a Base Micro-data set for SAMOD</title>
<link>http://hdl.handle.net/123456789/804</link>
<description>Adapting the South African National Income Dynamics Study for use as a Base Micro-data set for SAMOD
Wright, Gemma; Noble, Michael; Dinbabo, Mulugeta
In this paper we present the main data issues that were&#13;
&#13;
confronted when the first wave of the National Income&#13;
&#13;
Dynamics Study (NIDS) 2008 was adapted for use as&#13;
&#13;
the micro-data underlying a recently developed static&#13;
&#13;
tax-benefit micro-simulation model for South Africa&#13;
&#13;
(SAMOD). NIDS is the first national household panel&#13;
&#13;
survey in South Africa. SAMOD V1.1, which is based on&#13;
&#13;
the EUROMOD platform, was initially underpinned by a&#13;
&#13;
dataset derived primarily from the South African Income&#13;
&#13;
and Expenditure Survey 2000 but additionally drew on&#13;
&#13;
data from several other national surveys. As the NIDS&#13;
&#13;
questionnaire is more comprehensive in scope than&#13;
&#13;
the IES by, for example, containing questions about&#13;
&#13;
intra-household relationships - it is better suited for&#13;
&#13;
determining eligibility for some of the existing social&#13;
&#13;
assistance arrangements such as the child support&#13;
&#13;
grant.&#13;
&#13;
Based on the NIDS micro-dataset, SAMOD simulated&#13;
&#13;
plausible figures for eligibility for social assistance&#13;
&#13;
and income tax liability. However, indirect forms of&#13;
&#13;
taxation were not captured as well as in the IES-based&#13;
&#13;
version of SAMOD. As the NIDS questionnaire includes&#13;
&#13;
questions about receipt of grants, it was possible to&#13;
&#13;
identify the extent to which individuals estimated to be&#13;
&#13;
eligible for the grants using SAMOD overlapped with&#13;
&#13;
respondents’ declared receipt, and how both sets of&#13;
&#13;
figures compared to the reported figures of the South&#13;
&#13;
African Social Security Agency. Similarly, simulated&#13;
&#13;
and reported tax figures were compared against figures&#13;
&#13;
from the National Treasury and South African Revenue&#13;
&#13;
Service. In a small case study it is demonstrated how&#13;
&#13;
SAMOD can be used to quantify the impact on poverty&#13;
&#13;
and child poverty of a hypothetical new social grant for&#13;
&#13;
low-income adults of working age.
</description>
<dc:date>2012-11-16T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/123456789/763">
<title>South African Municipalities and Mobility : Planning for the Transient and the Indigent</title>
<link>http://hdl.handle.net/123456789/763</link>
<description>South African Municipalities and Mobility : Planning for the Transient and the Indigent
Londau, Loren; Segatti, Aurella; Misago, Jean Pierre
</description>
<dc:date>2012-11-14T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/123456789/750">
<title>Towards a Social Cohesion Barometer for South Africa</title>
<link>http://hdl.handle.net/123456789/750</link>
<description>Towards a Social Cohesion Barometer for South Africa
Jare Struwig; Yul Derek Davids; Benjamin Roberts; Moses Sithole; Virginia Tilley; Gina Weir-Smith; Tholang Mokhele
</description>
<dc:date>2012-11-09T00:00:00Z</dc:date>
</item>
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