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        <identifier>oai:drops-oai.dagstuhl.de:13598</identifier>
        <datestamp>2024-03-06T10:52:24Z</datestamp>
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          <dc:title>Computational Complexity of the Hylland-Zeckhauser Scheme for One-Sided Matching Markets</dc:title>
          <dc:creator>Vazirani, Vijay V.</dc:creator>
          <dc:creator>Yannakakis, Mihalis</dc:creator>
          <dc:subject>Hyland-Zeckhauser scheme</dc:subject>
          <dc:subject>one-sided matching markets</dc:subject>
          <dc:subject>mechanism design</dc:subject>
          <dc:subject>dichotomous utilities</dc:subject>
          <dc:subject>PPAD</dc:subject>
          <dc:subject>FIXP</dc:subject>
          <dc:description>In 1979, Hylland and Zeckhauser [Hylland and Zeckhauser, 1979] gave a simple and general scheme for implementing a one-sided matching market using the power of a pricing mechanism. Their method has nice properties - it is incentive compatible in the large and produces an allocation that is Pareto optimal - and hence it provides an attractive, off-the-shelf method for running an application involving such a market. With matching markets becoming ever more prevalent and impactful, it is imperative to finally settle the computational complexity of this scheme. &#13;
We present the following partial resolution:&#13;
1) A combinatorial, strongly polynomial time algorithm for the dichotomous case, i.e., 0/1 utilities, and more generally, when each agent’s utilities come from a bi-valued set. &#13;
2) An example that has only irrational equilibria, hence proving that this problem is not in PPAD. &#13;
3) A proof of membership of the problem in the class FIXP. &#13;
4) A proof of membership of the problem of computing an approximate HZ equilibrium in the class PPAD. &#13;
We leave open the (difficult) questions of determining if computing an exact HZ equilibrium is FIXP-hard and an approximate HZ equilibrium is PPAD-hard.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Vijay V. Vazirani and Mihalis Yannakakis</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2021.59</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-135987</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.59</dc:identifier>
          <dc:language>eng</dc:language>
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