Volume 50 - Article 15 | Pages 411–442
Losing the female survival advantage: Sex differentials in infant and child mortality in Pakistan
By Batool Zaidi
Abstract
Objective: To understand patterns of gender discrimination by exploring whether the risk of dying during infancy and childhood is correlated with not only the sex and birth order of the child but also the sex composition of previous siblings.
Methods: Event history analysis (Cox proportional hazards model) is applied to pooled data from the 2006–2007, 2012–2013, and 2017–2018 rounds of the Pakistan Demographic and Health Survey to highlight patterns of mortality risk during infancy (0–11 months) and childhood (1–4 years) by the sex composition of previous siblings, birth order, and the sex of the index child.
Results: Females lose the survival advantage early. Evidence of generalized discrimination against all girls is reflected in higher-than-expected mortality risk during infancy and childhood. Evidence of selective preferential treatment of first sons is reflected in a survival advantage, even as early as the first year of life in large families and in all family sizes during childhood.
Contribution: This paper examines sex differentials in infant and child mortality in a context with strong son preference but with a lack of evidence on sex-selective abortions. It gives theoretical and empirical attention to the birth order and sibling composition¬ contexts within which births and discrimination occur. The specific pattern of discrimination provides clues to the rationale for, and mechanisms causing, differential mortality risk among siblings and across genders.
Author’s Affiliation
- Batool Zaidi - Western Washington University, United States of America EMAIL
Most recent similar articles in Demographic Research
A parametric survival model for child mortality using complex survey data
Volume 53 - Article 26
| Keywords:
age patterns of mortality,
complex survey,
low-and-middle-income countries,
survival analysis,
under-five mortality
Analysing migrant fertility using machine learning techniques: An application of random survival forest to longitudinal data from France
Volume 53 - Article 21
| Keywords:
fertility,
immigrants,
machine learning,
random survival forest,
survival analysis
Attitudes toward child well-being in diverse families across Europe
Volume 53 - Article 11
| Keywords:
attitudes,
children,
Europe,
European Social Survey,
family,
gender,
same-sex couples,
single parenthood,
stepfamily
KINMATRIX: A new data resource for studies of families and kinship
Volume 51 - Article 25
| Keywords:
family,
networks,
solidarity,
survey methodology,
transmission
Between money and intimacy: Brideprice, marriage, and women’s position in contemporary China
Volume 50 - Article 46
| Keywords:
brideprice,
China,
divorce,
family,
family law,
gender inequalities,
marriage
Cited References: 55
Download to Citation Manager
PubMed
Google Scholar