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Avoiding selection bias without random assignment? The effect of breastfeeding on cognitive outcomes in China

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  • Cebolla-Boado, Héctor
  • Jiménez-Buedo, María
  • Salazar, Leire

Abstract

Recent studies suggest that some of the health benefits traditionally attributed to breastfeeding may be overstated due to selection bias problems, since typically breastfeeding is more prevalent in more resourceful households. In this paper we argue that an important antidote against selection bias consists in analyzing data from contexts in which breastfeeding is not normativised, or where it is not systematically associated to socioeconomic advantage and best parenting practices. We estimate the effect of breastfeeding on the cognitive outcomes of Chinese children.

Suggested Citation

  • Cebolla-Boado, Héctor & Jiménez-Buedo, María & Salazar, Leire, 2017. "Avoiding selection bias without random assignment? The effect of breastfeeding on cognitive outcomes in China," Social Science & Medicine, Elsevier, vol. 194(C), pages 151-159.
    • Handle: RePEc:eee:socmed:v:194:y:2017:i:c:p:151-159
    DOI: 10.1016/j.socscimed.2017.10.015
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    References listed on IDEAS

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    1. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    2. Colen, Cynthia G. & Ramey, David M., 2014. "Is breast truly best? Estimating the effects of breastfeeding on long-term child health and wellbeing in the United States using sibling comparisons," Social Science & Medicine, Elsevier, vol. 109(C), pages 55-65.
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