Editor’s note: This post is part of a series showcasing Barcelona GSE master projects by students in the Class of 2015. The project is a required component of every master program.
Authors:
Mette Albèr, Ming Yu Wong, Urša Krenk & Stan deRuijter
Master’s Program:
Economics
Paper Abstract:
This paper examines the factors associated with gender disparities in attitudes towards intimate-partner violence against women (IPVAW) at the regional and household level using data from the 2010 Demo-graphic and Health Survey (DHS) in Rwanda. An OLS regression model was used at the regional level, while multivariate logistic regression models were fitted at the household level. The results show that women’s education level and women’s TV-viewing frequency are significant and consistent predictors of gender disparities at the household level, with sizeable marginal effects. More generally, many factors beyond national- and regional-level characteristics account for variation in IPVAW acceptance across genders, suggesting that more granular and sophisticated modes of analysis can help to determine the true nature of relationships between individual and household level factors and attitudes towards IPVAW.
Read the paper or view presentation slides:
Presentation Slides:
[slideshare id=50916638&doc=predicting-gender-disparities-violence-150725112951-lva1-app6892]