| Abstract: |
Using household surveys covering 83 countries of all income levels, we document that the gender education gap in low-income countries is strikingly large and that it narrows and reverses with economic development. To study the driving forces, we propose a three-sector model in which development features skill-biased technological change, structural change, gender-biased technological change (a reduced form of changing discrimination), changing marriage markets, and varying levels of home productivity. The model is parameterized to match contrasting labor market outcomes by education and gender groups and it does well in matching the patterns of the gender education gap we document. Counterfactual exercises show that the complementarity between skill-biased technological change and structural change explains most of the narrowing gender education gap across the development spectrum.
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Biography:
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Ying is an assistant professor at the National University of Singapore. She obtained her Ph.D. in economics from the University of California San Diego. Her research interests are macroeconomics and economic development. Ying uses micro-level household or firm data and quantitative models to examine 1) how does the development level affect the resource allocation in an economy? and 2) What, in turn, determines the aggregate productivity of an economy? Her research has been published in the Economic Journal, the Journal of Development Economics, and Economics Letters.
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