J
John Hobcraft
Researcher at London School of Economics and Political Science
Publications - 56
Citations - 4444
John Hobcraft is an academic researcher from London School of Economics and Political Science. The author has contributed to research in topics: Population & Social exclusion. The author has an hindex of 29, co-authored 56 publications receiving 4298 citations. Previous affiliations of John Hobcraft include University of York.
Papers
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Journal Article
Women's Education, Child Welfare and Child Survival: A Review of the Evidence
TL;DR: Important regional patterns are uncovered, and particular attention is paid to discussion of the weaker associations observed in sub-Saharan Africa.
Journal ArticleDOI
Demographic Determinants of Infant and Early Child Mortality: A Comparative Analysis
TL;DR: Effects of poor birth-spacing persist even after other factors have been controlled, and are similar where a sib was born during the two years preceding the birth of the child, regardless of the survival status of that sib; however, mortality was higher when that siber had died, due to increased familial risks of mortality.
Journal ArticleDOI
Socio-economic factors in Infant and child mortality: A cross-national comparison
TL;DR: In this article, the authors used results from the World Fertility Survey (WFS) for 28 countries and examined socioeconomic differences in neonatal, post-neonatal, and child mortality.
Posted Content
Childhood Poverty, Early Motherhood and Adult Social Exclusion
John Hobcraft,Kathleen Kiernan +1 more
TL;DR: In this paper, the effects of early motherhood on later outcomes due to childhood precursors, especially experience of childhood poverty, were investigated. And the results showed that childhood poverty and early parenthood are associated with adverse outcomes in adulthood.
Book ChapterDOI
Age, period, and cohort effects in demography: a review.
TL;DR: The state of the art of age, period and cohort analysis for demographic dependent variables is reviewed and a set of models of age patterns of mortality that are based on cohort as well as period experience could be constructed with useful applications.