Twin Estimates of the Effects of Prenatal Environment, Child Biology, and Parental Bias on Sex Differences in Early Age Mortality
Roland Pongou

TL;DR
This study introduces a new method to disentangle the effects of prenatal environment, biology, and parental bias on sex differences in early mortality using twin data from India and Africa, revealing significant biases in previous estimates.
Contribution
It develops a twin-based decomposition methodology to accurately estimate the impact of prenatal and parental factors on sex-specific mortality differences.
Findings
Prenatal environment increases male mortality.
Biological factors contribute to male excess mortality, but less than previously thought.
Parental discrimination against females significantly reduces female survival, especially in India.
Abstract
Sex differences in early age mortality have been explained in prior literature by differences in biological make-up and gender discrimination in the allocation of household resources. Studies estimating the effects of these factors have generally assumed that offspring sex ratio is random, which is implausible in view of recent evidence that the sex of a child is partly determined by prenatal environmental factors. These factors may also affect child health and survival in utero or after birth, which implies that conventional approaches to explaining sex differences in mortality are likely to yield biased estimates. We propose a methodology for decomposing these differences into the effects of prenatal environment, child biology, and parental preferences. Using a large sample of twins, we compare mortality rates in male-female twin pairs in India, a region known for discriminating…
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Taxonomy
TopicsDemographic Trends and Gender Preferences · Global Maternal and Child Health · Birth, Development, and Health
