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          <dc:title>Price of Anarchy for Mechanisms with Risk-Averse Agents</dc:title>
          <dc:creator>Kesselheim, Thomas</dc:creator>
          <dc:creator>Kodric, Bojana</dc:creator>
          <dc:subject>Mechanism Design</dc:subject>
          <dc:subject>Price of Anarchy</dc:subject>
          <dc:subject>Risk Aversion</dc:subject>
          <dc:subject>Smoothness</dc:subject>
          <dc:description>We study the price of anarchy of mechanisms in the presence of risk-averse agents. Previous work has focused on agents with quasilinear utilities, possibly with a budget. Our model subsumes this as a special case but also captures that agents might be less sensitive to payments than in the risk-neutral model. We show that many positive price-of-anarchy results proved in the smoothness framework continue to hold in the more general risk-averse setting. A sufficient condition is that agents can never end up with negative quasilinear utility after playing an undominated strategy. This is true, e.g., for first-price and second-price auctions. For all-pay auctions, similar results do not hold: We show that there are Bayes-Nash equilibria with arbitrarily bad social welfare compared to the optimum.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Thomas Kesselheim and Bojana Kodric</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 107, 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2018.155</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-91599</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2018.155</dc:identifier>
          <dc:language>eng</dc:language>
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