The copyright line for this article was changed on 27 November 2015 after original online publication.
Special Issue Paper
SOCIAL INTERACTIONS AND MALARIA PREVENTIVE BEHAVIORS IN SUB-SAHARAN AFRICA
Version of Record online: 23 APR 2014
©2014 The Authors. Health Economics published by John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Special Issue: European and Australasian Econometrics and Health Economics Workshop papers
Volume 23, Issue 9, pages 994–1012, September 2014
How to Cite
2014), SOCIAL INTERACTIONS AND MALARIA PREVENTIVE BEHAVIORS IN SUB-SAHARAN AFRICA, Health Econ., 23, pages 994–1012, doi: 10.1002/hec.3055and (
- Issue online: 19 AUG 2014
- Version of Record online: 23 APR 2014
- Manuscript Accepted: 21 MAR 2014
- Manuscript Revised: 17 MAR 2014
- Manuscript Received: 9 OCT 2013
- social interactions;
- social multiplier;
- preventive behaviors
This paper examines the existence of social interactions in malaria preventive behaviors in Sub-Saharan Africa, that is, whether an individual's social environment has an influence on the individual's preventive behaviors. We focus on the two population groups which are the most vulnerable to malaria (children under 5 years and pregnant women) and on two preventive behaviors (sleeping under a bednet and taking intermittent preventive treatment during pregnancy). We define the social environment of the individual as people living in the same region. To detect social interactions, we calculate the size of the social multiplier by comparing the effects of an exogenous variable at individual and regional levels. Our data come from 92 surveys for 29 Sub-Saharan countries between 1999 and 2012, and they cover approximately 660,000 children and 95,000 women. Our results indicate that there are social interactions in malaria preventive behaviors in the form of social multipliers effects of women's education and household wealth. The long-run effects of these characteristics on preventive behaviors at the regional level are larger than those apparent at the individual level. Copyright © 2014 John Wiley & Sons, Ltd.