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Genetic prediction and adverse selection
AbstractThe predictive power of genetic data has increased dramatically and is reaching levels of clinical utility for many diseases. Meanwhile, many countries have banned insurers from utilizing genetic information, despite concerns about adverse selection. We make three contributions.Eduardo Azevedo +2 more
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MULTIPLE ADVERSE SELECTION [PDF]
We study an adverse selection model, with a principal and several agents, wherecontracting is under asymmetric information. The number of agents is finite and types are "continuous" and independent. We analyze two settings. In the first one, the performance functions of mechanisms may depend on all the reported types.
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