Estimating Sibling Spillover Effects with Unobserved Confounding Using Gain-Scores
David C. Mallinson, Felix Elwert

TL;DR
This paper introduces a gain-score regression method to identify sibling spillover effects in epidemiology, addressing unobserved confounding, and demonstrates its application with a birth cohort study on preterm birth and literacy.
Contribution
The paper presents a novel gain-score regression approach for estimating sibling spillover effects that accounts for unobserved confounding in linear models.
Findings
The method can identify certain spillover effects under specific conditions.
Applied to birth data, preterm birth modestly affects older siblings' literacy scores.
The approach shows promise but has limitations in complex spillover scenarios.
Abstract
A growing area of research in epidemiology is the identification of health-related sibling spillover effects, or the effect of one individual's exposure on their sibling's outcome. The health and health care of family members may be inextricably confounded by unobserved factors, rendering identification of spillover effects within families particularly challenging. We demonstrate a gain-score regression method for identifying exposure-to-outcome spillover effects within sibling pairs in a linear fixed effects framework. The method can identify the exposure-to-outcome spillover effect if only one sibling's exposure affects the other's outcome; and it identifies the difference between the spillover effects if both siblings' exposures affect the others' outcomes. The method fails in the presence of outcome-to-exposure spillover and outcome-to-outcome spillover. Analytic results and Monte…
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Taxonomy
TopicsBirth, Development, and Health · Early Childhood Education and Development · Health disparities and outcomes
