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No Screening is More Efficient with Multiple Objects
arXiv:2408.10077v4 Announce Type: replace-cross Abstract: 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 problem reduces exactly to a single-dimensional problem in agents' best-option values. More options make low best-option values rarer, weakening the case for screening. We characterize when no screening is optimal and show it remains optimal as variety expands. Large-variety limits and numerical results for finite, correlated markets support this pattern. We apply these results to propose an invitation-based vaccine appointment system.
Abstract: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 problem reduces exactly to a single-dimensional problem in agents' best-option values. More options make low best-option values rarer, weakening the case for screening. We characterize when no screening is optimal and show it remains optimal as variety expands. Large-variety limits and numerical results for finite, correlated markets support this pattern. We apply these results to propose an invitation-based vaccine appointment system.
Theoretical Economics (econ.TH); Artificial Intelligence (cs.AI); Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG)
arXiv:2408.10077 [econ.TH]
(or arXiv:2408.10077v4 [econ.TH] for this version)
https://doi.org/10.48550/arXiv.2408.10077 Focus to learn more arXiv-issued DOI via DataCite
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