Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12202/4019
Title: | Generalized Coarse Matching. |
Authors: | Shao, Ran 0000-0002-1736-9862 |
Keywords: | Coarse matching Grüss's inequality Assortative matching |
Issue Date: | Nov-2016 |
Publisher: | Elsevier |
Citation: | Shao, Ran. November 2016. Generalized coarse matching. Games and Economic Behavior. 100, 142-148. |
Abstract: | This paper analyzes the problem of matching two heterogeneous populations, such as men and women. If the payoff from a match exhibits complementarities, it is well known that, absent any friction, positive assortative matching is optimal. Coarse matching refers to a situation in which the populations are sorted into a finite number of classes and then randomly matched within these classes. We derive upper bounds on the fraction of the total efficiency loss of n-class coarse matching, which is proportional to . Our result substantially enlarges the scope of matching problems in which the performance of coarse matching can be assessed. |
URI: | https://doi.org/10.1016/j.geb.2016.09.008 https://hdl.handle.net/20.500.12202/4019 |
ISSN: | 0899-8256 |
Appears in Collections: | Sy Syms School of Business (SSSB) -- Faculty Publications |
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File | Description | Size | Format | |
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GEB final.pdf | 259.42 kB | Adobe PDF | View/Open |
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