Arbeitspapier
South African population projection and household survey sample weight recalibration
The existing sources of demographic data for South Africa have different strengths and limitations that make them inadequate for calibration of sample weights in post-apartheid South African household surveys. The official mid-year population estimates produced by Statistics South Africa do not cover the entire period, the previously used Actuarial Society of South Africa model has become outdated, and the updated Thembisa model does not produce estimates by population groups. We introduce the Centre for Actuarial Research and Centre for Actuarial Research-Statistics South Africa models, two sources of consistent demographic data disaggregated by age groups, sex, and population groups as well as by province from 1990 to 2022. When the two model estimates are used to calibrate the South African household survey series, there are no substantial differences in several of the estimates that are evaluated. However, there are notable differences in the White and Indian/Asian population groups between the Statistics South Africa estimates and the Centre for Actuarial Research model in the later years.
- ISBN
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978-92-9256-824-5
- Language
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Englisch
- Bibliographic citation
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Series: WIDER Working Paper ; No. 2020/67
- Classification
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Wirtschaft
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
- Subject
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population
projection
recalibration
South Africa
weight
- Event
-
Geistige Schöpfung
- (who)
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Machemedze, Takwanisa
Kerr, Andrew
Dorrington, Rob
- Event
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Veröffentlichung
- (who)
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The United Nations University World Institute for Development Economics Research (UNU-WIDER)
- (where)
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Helsinki
- (when)
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2020
- DOI
-
doi:10.35188/UNU-WIDER/2020/824-5
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Machemedze, Takwanisa
- Kerr, Andrew
- Dorrington, Rob
- The United Nations University World Institute for Development Economics Research (UNU-WIDER)
Time of origin
- 2020