Bias, Not Error: Assessments of the Economic Impact of HIV/AIDS Using Evidence from Micro Studies in Sub-Saharan Africa
AbstractEconomists 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.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Feminist Economics.
Volume (Year): 14 (2008)
Issue (Month): 4 ()
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- JEL - Labor and Demographic Economics - - - - -
- Cod - Mathematical and Quantitative Methods - - - - -
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- I10 - Health, Education, and Welfare - - Health - - - General
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
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