EconPapers    
Economics at your fingertips  
 

Educational Homogamy, Positive Assortative Mating and Income Inequality in South Africa: An Unconditional Quantile Regression Analysis

Umakrishnan Kollamparambil

Journal of Development Studies, 2020, vol. 56, issue 9, 1706-1724

Abstract: Apart from being the first attempt at investigating the impact of education-based homogamy and positive assortative mating on income inequality in a developing country context with very high levels of inequality and low education levels, this study pioneers in analysing the nonlinear relationship between mating patterns and income inequality. Further, the study contributes by the use of unconditional quantile regression and other distributional measures facilitated by the recentered influence function (RIF) method. The study finds convincing evidence of the existence of homogamy and positive assortative mating in South Africa. However, the strength of the relationship is seen to be weakening among younger cohorts as compared with older cohorts. The study further finds a non-linear U-shaped relationship between income inequality and the level of education-based homogamy, while a negative relationship is revealed between positive assortative mating and income inequality.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/00220388.2019.1696957 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jdevst:v:56:y:2020:i:9:p:1706-1724

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FJDS20

DOI: 10.1080/00220388.2019.1696957

Access Statistics for this article

Journal of Development Studies is currently edited by Howard White, Oliver Morrissey and Ken Shadlen

More articles in Journal of Development Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:jdevst:v:56:y:2020:i:9:p:1706-1724