Measuring Violence Against Women: A Global Index.

Violence against women (VaW) is a widespread crime and violation of the rights of women. It is present in every country without exception and crosses boundaries of culture, class, education, income, and race. Despite the magnitude of the literature and the abundance of publications on this problem, the field lacks a comprehensive and homogeneous way to measure and compare the extent of VaW across countries. Proper quantification of this problem is needed to develop preventive policies and strategies to reduce it. This article develops an index of VaW (VAWI) with global scope and multidimensional approach for 102 countries. It is an original index that calculates the total level of VaW by capturing information from the main VaW types (physical, sexual, psychological, and economic violence) in a single value between 0 and 1, where 0 denotes complete absence of violence and 1 the highest level of violence in a country. The proposed index is easy to compute and is comparable across countries. Our main results show that the nations with the highest levels of global VaW are Yemen, Senegal, Oman, Cameroon, and Uganda. The countries with the lowest levels are the Northern European Countries, Canada, and Malta. This VAWI makes a novel and important contribution to the study of gender issues. It can be used not only to monitor the statistics on VaW data within countries over time but also to make comparisons among countries. Further, it could be useful in designing new policy initiatives to reduce VaW.

Microfinance and Violence Against Women in Rural Guatemala.

Violence against Women (VaW) has come to be recognized as a serious human rights abuse with important consequences not only for women but for whole societies. Since VaW has several manifestations, it is possible to differentiate among different types of violence. In this article, a broad theoretical framework with different dimensions of gender violence was adapted to a Latin American social and cultural context to measure three out of the five main types of violence: economic violence, emotional psychological violence, and coercive control. The goal of this article is to provide empirical evidence to determine whether access to microfinance services plays a role in reducing VaW. To this end, we designed and performed a cross-sectional study with a treatment and a control group in rural Guatemala. A sample of 883 rural women in the "Altiplano" area of Guatemala (448 women with microfinance services and 435 without) was surveyed from May to November 2012. The results of the bivariate logistic regression showed evidence of association between access to microfinance services and reduction of VaW. After adjusting for covariates, global, economic, and emotional psychological violence maintained a negative and statistically significant association with microfinance, while only coercive control showed no statistical association with microfinance services. Access to microcredits showed a very clear relationship to reducing economic and emotional violence but not coercive control, a factor that may be determined by social and cultural norms. In contrast to Status Inconsistency Theory, which has been tested primarily in Asia, our study of Guatemala showed that increased status and economic independence of women due to their participation in microfinance services reduced VaW.

Fertility and Economic Development: Quantile Regression Evidence on the Inverse J-shaped Pattern.

This paper analyses empirically the relationship between economic development and fertility. Through a new sample selection and quantile regression, it investigates whether there is an inverse J-shaped pattern between these two variables, and, if so, whether it depends on development and fertility levels. Our results confirm that the inverse J-shaped pattern exists, but only when a certain level of economic development is attained. Results also suggest an innovative finding: the J-shape depends not only on the development but also on the fertility level. The higher the fertility rate, the higher the GDP per capita needed to reverse fertility decline, and the faster the negative and positive segments of the J-shape fall and grow.