Volume 37 - Article 39 | Pages 1297–1326 Author has provided data and code for replicating results

Decomposing changes in household measures: Household size and services in South Africa, 1994–2012

By Martin Wittenberg, Mark Collinson, Tom Harris

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Date received:28 Jun 2016
Date published:20 Oct 2017
Word count:6287
Keywords:decomposition, electricity access, household formation, household size, panel data, South Africa
DOI:10.4054/DemRes.2017.37.39
Additional files:readme.37-39 (text file, 2 kB)
 37-39_Online-Appendix (Word file, 14 kB)
 demographic-research.37-39 (zip file, 7 MB)
 

Abstract

Background: Household trends are generally tracked by means of repeated cross-sections, such as censuses or nationally representative surveys. However, the trends may be driven either by changes within households over time or the way in which the processes of household formation/dissolution interact with the measure in question.

Objective: We aim to develop a method that enables us to apportion changes in a household measure to changes that happen within households and changes that occur due to household formation and dissolution. In particular we intend to show how South African households have reduced in size and how access to services has increased.

Methods: We develop a formula for decomposing a household outcome measure. We apply the formula to household size and electricity access data from the Agincourt health and demographic surveillance site for the period 1994 to 2012. We also apply it to the National Income Dynamics Survey of South Africa from 2008 to 2012. We compare the results to the pattern derived from nationally representative surveys run by Statistics South Africa since 1994.

Results: The overall reduction in household size is fuelled by rapid household formation, much of which is intertwined with shifts in location. Access to services has been reduced by the process of new household formation. Neither finding is evident from cross-sectional data.

Contribution: We introduce a new decomposition technique which can be used with longitudinal data and discuss the insights that it provides.

Author's Affiliation

Martin Wittenberg - University of Cape Town (UCT), South Africa [Email]
Mark Collinson - University of the Witwatersrand, South Africa [Email]
Tom Harris - University of Cape Town (UCT), South Africa [Email]

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