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No Screening is More Efficient with Multiple Objects

Noda, Shunya et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-science-and-game-theorymachine-learningtheoretical-economics
We study the welfare-maximizing allocation of heterogeneous objects when screening uses costly effort rather than monetary transfers. No-screening mechanisms perform well as object variety increases. In a symmetric continuous market with i.i.d. values whose CDF is log-concave, the multidimensional p
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