 Using partial identification methods to estimate the effect of violence against women on their children’s health outcomesApplied Economics Letters, 2017, vol. 24, issue 15, 1057-1060 Abstract: A growing literature in economics seeks to estimate the costs of violence against women by examining, for example, its impact on the health outcomes of their children. However, it is difficult to assign a causal interpretation to these nonexperimental studies due to the presence of unobservable characteristics affecting violence and health outcomes simultaneously. The lack of credible instrumental variables applicable in several countries further limits our knowledge. I address this gap by using new partial identification methods to estimate the relative size of the unobservables needed to eliminate the estimated effects in nonexperimental studies. I also expand the external validity of the analysis by using data from five standardized nationally representative household surveys in Latin America. Consistent with previous studies, cross-sectional estimates show large negative associations between violence against women and an array of child health outcomes. However, when accounting for omitted variable bias, at best, two-thirds of the estimates remain robust and they are concentrated on the outcomes with the largest cross-sectional estimated impacts. Date: 2017 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:24:y:2017:i:15:p:1057-1060 Ordering information: This journal article can be ordered from DOI: 10.1080/13504851.2016.1251546 Access Statistics for this article Applied Economics Letters is currently edited by Anita Phillips More articles in Applied Economics Letters from Taylor & Francis Journals |
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