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Estimating the health impacts of food safety interventions: Optimal counterfactual selections via information criteria in small samples

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  • Wang, Huiqiang

Abstract

This paper provides a case study to show how researchers can apply an innovative counterfactual approach for food safety policy evaluations, particularly in small samples. As an extension to prior studies, I utilize comprehensive variable selection algorithms and generate the optimal combination of counterfactuals. To illustrate the method, I measured public health impacts of a historical food safety intervention. Significant health benefit was found associated with implementation of large-scale milk safety regulation in Chicago.

Suggested Citation

  • Wang, Huiqiang, 2016. "Estimating the health impacts of food safety interventions: Optimal counterfactual selections via information criteria in small samples," Food Policy, Elsevier, vol. 63(C), pages 44-52.
    • Handle: RePEc:eee:jfpoli:v:63:y:2016:i:c:p:44-52
    DOI: 10.1016/j.foodpol.2016.06.005
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