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Family Health Spillovers: A Multidimensional Regression Discontinuity Design

Author

Listed:
  • Fabrice Kampfen

    (University College Dublin)

  • Owen O'Donnell

    (Erasmus University Rotterdam)

  • Xuezheng Qin

    (Peking University)

Abstract

A multidimensional regression discontinuity design reveals large and asymmetric spillovers from personalized health information within Chinese families. Warning a man that he has high blood pressure (BP) is estimated to reduce his wife’s BP by 7.5% and her probability of high BP by 24% points, while there is no female-to male spillover. Warning a parent (father, particularly) reduces their adult child’s BP. Identified mechanisms are reduced adiposity (spousal) and healthier behavior (intergenerational). Asymmetry can be explained by joint health production under collective but gender-unequal household decision making. We demonstrate screening even for non-communicable disease risk can generate positive spillovers.

Suggested Citation

  • Fabrice Kampfen & Owen O'Donnell & Xuezheng Qin, 2026. "Family Health Spillovers: A Multidimensional Regression Discontinuity Design," Tinbergen Institute Discussion Papers 26-049/V, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20260049
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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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