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Testing for Peer Effects Using Genetic Data

Cawley, John; Han, Euna; Kim, Jiyoon (June); & Norton, Edward C. (2017). Testing for Peer Effects Using Genetic Data. NBER Working Papers. National Bureau of Economic Research.

Cawley, John; Han, Euna; Kim, Jiyoon (June); & Norton, Edward C. (2017). Testing for Peer Effects Using Genetic Data. NBER Working Papers. National Bureau of Economic Research.

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Estimating peer effects is notoriously difficult because of the reflection problem and the endogeneity of peer group formation. This paper tests for peer effects in obesity in a novel way that addresses these challenges. It addresses the reflection problem by using the alter’s genetic risk score for obesity, which is a significant predictor of obesity, is determined prior to birth, and cannot be affected by the behavior of others. It addresses the endogeneity of peer group formation by examining peers who are not self-selected: full siblings. Using data from the National Longitudinal Survey of Adolescent Health, we find evidence of positive peer effects in weight and obesity; having a sibling with a high genetic predisposition raises one’s risk of obesity, even controlling for one’s own genetic predisposition to obesity. Implications of the findings include that peer effects may be an explanation for continued worldwide increases in weight, and that, because of social multipliers, the cost-effectiveness of obesity treatment and prevention programs may have been underestimated.




RPRT

NBER Working Papers


Cawley, John
Han, Euna
Kim, Jiyoon (June)
Norton, Edward C.



2017




23719





National Bureau of Economic Research






7124