Replication Data & Readme file for Chapter 5: Household deprivation and the intergenerational correlation of education: an analysis of developing countries

DOI

Chapter 5 focuses on the differential relationship between parent’s education and children’s education in the presence of deprivation. The DHS data are also used in Chapter 5. The analysis is done using ordinary least squares to produce correlation coefficients and interaction terms for these relationships. The indicators used include child mortality, school attendance of school-aged children, cooking fuel, sanitation, drinking water, housing, electricity, and assets. The DHS data include surveys for twenty-seven developing countries. They were conducted between 2012 and 2018, the survey years vary between countries.
From our findings, a deprivation index of these variables shows a strong relationship between being deprived and the intergenerational correlation of education of 0.02 years. That is, an additional 0.02 years increase in children’s education following a 1-year change in parent’s education for the deprived. The result confirms our third hypothesis which said that the: Intergenerational correlation of education significantly increases with household deprivation. Individually, school attendance, cooking fuel, sanitation, drinking water, housing, electricity, and assets have a relationship between being deprived and the intergenerational correlation of education. This relationship ranges between 0.05 years for drinking water and electricity to 0.09 years for housing and assets.

Identifier
DOI https://doi.org/10.34894/XAASJL
Related Identifier IsCitedBy https://doi.org/10.1016/j.ijer.2021.101797
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/XAASJL
Provenance
Creator Momo, Michelle ORCID logo
Publisher DataverseNL
Contributor Notten, Ad; Momo, Michelle
Publication Year 2021
Rights CC0-1.0; info:eu-repo/semantics/closedAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess false
Contact Notten, Ad (Maastricht University); Momo, Michelle (UNU-MERIT, Maastricht University)
Representation
Resource Type Dataset
Format application/zip; text/plain
Size 845368413; 141
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences