Bias, Not Error: Assessments of the Economic Impact of HIV/AIDS Using Evidence from Micro Studies in Sub-Saharan Africa
指出宏观模型评估HIV/AIDS经济影响时存在系统性性别偏见，忽视女性死亡率和发病率上升的后果，呼吁采用性别敏感模型改进评估。
Abstract Economists struggle to understand the macroeconomic impact of HIV/AIDS. To this end, they have constructed macro models that utilize simplified pictures of the working of the economy and then factor in channels by which HIV/AIDS will have an effect. These models have considerable influence on HIV/AIDS policy; however, they do have their critics. Criticisms in the literature have focused on the simplifications in the construction of the economy that seem most misleading. Using micro studies of sub-Saharan Africa as examples, this contribution argues that there are other important simplifications used by models that need to be reconsidered. Rather than a series of unconnected errors in the modeling process, the approaches show pervasive gender bias, which means that many of the impacts of greater female mortality and morbidity in sub-Saharan Africa are ignored. Gender-aware modeling is crucial to improving assessment of the aggregate impact of the pandemic both in sub-Saharan Africa and elsewhere.