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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

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.