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

Huiqiang Wang

Food Policy, 2016, vol. 63, issue C, 44-52

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.

Keywords: Policy evaluation; Food safety; Counterfactual; Optimal subset selections (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306919216301051
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jfpoli:v:63:y:2016:i:c:p:44-52

DOI: 10.1016/j.foodpol.2016.06.005

Access Statistics for this article

Food Policy is currently edited by J. Kydd

More articles in Food Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().