Like every Friday, based on Raj Nallari and Breda Griffith's lecture notes.
Measuring Gender Inequalities
In order to fully appreciate gender as an analytical category in macroeconomics and macroeconomic policy, one needs appropriate data and tools – statistics and modeling. For the most part, gender measurement issues have only been addressed in the past thirty years or so and remain a work-in-progress. Data collection methods are not always gender sensitive for a number of reasons. First, managers, researchers and technical staff may not be aware of gender issues in the policies and programs and/or lack experience with gender issues and methods. Second, surveys frequently interview the household head, which in most cases is male. Third, the nature of gender is often sensitive and formal interviews are not the best way to capture information on sensitive topics (domestic violence for example) and finally, women may not be able to speak freely in interviews or to attend or speak at community meetings. (World Bank, 2001). Thus for all of these reasons and not withstanding that, as noted in previous posts, the emergence of gender as an analytical category is relatively recent, the measurement of gender is an ongoing issue. Yet the case for measuring gender is a strong one.