Reweighting the OHS and GHS to improve data quality: Representativeness, household counts, and small households-Reference-Cited by-同舟云学术

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Reweighting the OHS and GHS to improve data quality: Representativeness, household counts, and small households

Published:2022-05-23 Issue:4 Volume:90 Page:513-534
ISSN:0038-2280
Container-title:South African Journal of Economics
language:en
Short-container-title:South African J Economics

Author:

Thornton Amy¹^ORCID,Wittenberg Martin¹^ORCID

Affiliation:

1. University of Cape Town Cape Town

Funder

National Research Foundation

Publisher

Wiley

Subject

Economics and Econometrics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/saje.12319

Reference28 articles.

1. Reweighting South African National Household Survey Data to Create a Consistent Series Over Time: A Cross-Entropy Estimation Approach

2. DataFirst(2015).South Africa—General Household Survey 2005—Metadata. (Technical report).Cape Town: University of Cape Town.

3. DataFirst(2018).Projected population distribution: 1990‐2001. (Mimeograph) University of Cape Town Cape Town.

4. The analysis of household surveys

5. Deville J.‐C.(2000).Generalized calibration and application to weighting for non‐response. InCOMPSTAT Springer pp.65–76.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leaving the parental home in post‐apartheid South Africa;Population, Space and Place;2023-08-19

2. Trends in household formation and living alone in South Africa, 1995–2011;Development Southern Africa;2023-08-18

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