Guilhem Cassan, Lore Vandewalle, 09 December 2017

Many policies are designed along a particular identity dimension, such as gender or ethnicity. However, such efforts overlook the fact that individuals are associated with several identity dimensions at a time. Using Indian data, this column demonstrates how the intersection of different identity dimensions may lead to unanticipated effects. It shows that political quotas for women in local elections change policies not only in favour of women, but also in favour of low castes.

Events

  • 17 - 18 August 2019 / Peking University, Beijing / Chinese University of Hong Kong – Tsinghua University Joint Research Center for Chinese Economy, the Institute for Emerging Market Studies at Hong Kong University of Science and Technology, the Guanghua School of Management at Peking University, the Stanford Center on Global Poverty and Development at Stanford University, the School of Economics and Management at Tsinghua University, BREAD, NBER and CEPR
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