The Performance of Deferred-Acceptance Auctions

Published Online:https://doi.org/10.1287/moor.2016.0835

References

  • Ausubel L (2004) An efficient ascending-bid auction for multiple objects. Amer. Econom. Rev. 94(5):1452–1475.CrossrefGoogle Scholar
  • Ausubel L (2006) An efficient dynamic auction for heterogeneous commodities. Amer. Econom. Rev. 96(3):602–629.CrossrefGoogle Scholar
  • Ausubel LM, Milgrom P (2006) The lovely but lonely Vickrey auction. Combinatorial Auctions (MIT Press, Boston), 17–40.Google Scholar
  • Babaioff M, Lavi R, Pavlov E (2009) Single-value combinatorial auctions and algorithmic implementation in undominated strategies. J. ACM 56(1):4:1–4:32.CrossrefGoogle Scholar
  • Bikhchandani S, de Vries S, Schummer SJ, Vohra RV (2011) An ascending Vickrey auction for selling bases of a matroid. Oper. Res. 59(2):400–413.LinkGoogle Scholar
  • Blumrosen L, Nisan N (2009) On the computational power of demand queries. SIAM J. Comput. 39(4):1372–1391.CrossrefGoogle Scholar
  • Blumrosen L, Nisan N (2010) Informational limitations of ascending combinatorial auctions. J. Econom. Theory 145(3):1203–1223.CrossrefGoogle Scholar
  • Blumrosen L, Zohar O (2015) Multilateral deferred-acceptance mechanisms. Markakis E, Schäfer G, eds. Proc. 11th Internat. Conf. Web and Internet Econom., WINE ’15 (Springer, Berlin), 173–186.CrossrefGoogle Scholar
  • Borodin A, Lucier B (2010a) On the limitations of greedy mechanism design for truthful combinatorial auctions. Abramsky S, Gavoille C, Kirchner C, Meyer auf der Heide M, Spirakis PG, eds. Proc. 37th Internat. Colloquium on Automata, Languages and Programming, ICALP ’10 (Springer, Berlin), 90–101.CrossrefGoogle Scholar
  • Borodin A, Lucier B (2010b) Price of anarchy for greedy auctions. Charikar M, ed. Proc. 21st Annual ACM-SIAM Sympos. Discrete Algorithms, SODA ’10 (SIAM, Philadelphia), 537–553.Google Scholar
  • Briest P, Krysta P, Vöcking B (2011) Approximation techniques for utilitarian mechanism design. SIAM J. Comput. 40(6):1587–1622.CrossrefGoogle Scholar
  • Charikar M (2000) Greedy approximation algorithms for finding dense components in a graph. Jansen K, Khuller S, eds. Proc. 3rd Internat. Workshop on Approximation Algorithms for Combinatorial Optim. (Springer, London), 84–95.CrossrefGoogle Scholar
  • Chrobak M, Kenyon C, Young NE (2006) The reverse greedy algorithm for the metric k-median problem. Inform. Processing Lett. 97(2):68–72.CrossrefGoogle Scholar
  • Cramton P (2006) Simultaneous ascending auctions. Combinatorial Auctions (MIT Press, Boston), 79–98.Google Scholar
  • Day RW, Milgrom P (2008) Core-selecting package auctions. Internat. J. Game Theory 36(3):393–348.CrossrefGoogle Scholar
  • Demange G, Gale D, Sotomayor M (1986) Multi-item auctions. J. Political Econom. 94(4):863–872.CrossrefGoogle Scholar
  • Devanur NR, Mihail M, Vazirani VV (2005) Strategyproof cost-sharing mechanisms for set cover and facility location games. Decision Support Systems 39(1):11–22.CrossrefGoogle Scholar
  • Drake DE, Hougardy S (2003) A simple approximation algorithm for the weighted matching problem. Inform. Processing Lett. 85(4):211–213.CrossrefGoogle Scholar
  • Dütting P, Roughgarden T, Talgam-Cohen I (2014) Modularity and greed in double auctions. Babaioff M, Conitzer V, Easley D, eds. Proc. 15th ACM Conf. Econom. Comput., EC ’14 (ACM, New York), 241–258.CrossrefGoogle Scholar
  • Ensthaler L, Giebe T (2015) A dynamic auction for multi-object procurement under a hard budget constraint. Res. Policy 43(1):179–189.CrossrefGoogle Scholar
  • Fiat A, Goldberg AV, Hartline JD, Karlin AR (2002) Competitive generalized auctions. Reif JH, ed. Proc. 34th ACM Sympos. Theory Comput., SODA ’02 (ACM, New York), 72–81.CrossrefGoogle Scholar
  • Gale D, Shapley LS (1962) College admissions and the stability of marriage. Amer. Math. Monthly 69(1):9–15.CrossrefGoogle Scholar
  • Goemans MX, Williamson DP (1997) The primal-dual method for approximation algorithms and its application to the network design problems. Approximation Algorithms for NP-Hard Problems, Chap. 4 (PWS Publishing, Boston), 144–191.Google Scholar
  • Gul F, Stacchetti E (2000) The English auction with differentiated commodities. J. Econom. Theory 92(1):66–95.CrossrefGoogle Scholar
  • Håstad J (1999) Clique is hard to approximate within n1−ε. Acta Mathematica 182(1):105–142.CrossrefGoogle Scholar
  • Hazan E, Safra S, Schwartz O (2006) On the complexity of approximating k-set packing. Comput. Complexity 15(1):20–39.CrossrefGoogle Scholar
  • Immorlica N, Pountourakis E (2012) On budget-balanced group-strategyproof cost-sharing mechanisms. Goldberg PW, ed. Proc. 8th Workshop on Internet and Network Econom., WINE ’12 (Springer, Berlin), 244–255.CrossrefGoogle Scholar
  • Immorlica N, Mahdian M, Mirrokni VS (2008) Limitations of cross-monotonic cost-sharing schemes. ACM Trans. Algorithms 4(2):24:1–24:25.CrossrefGoogle Scholar
  • Jarman F, Meisner V (2002) Ascending auctions with package bidding. Frontiers of Theoretical Econom. 1(1):1452–1475.Google Scholar
  • Jarman F, Meisner V (2015) Ex-post optimal knapsack procurement. SSRN Working Paper 2548543.CrossrefGoogle Scholar
  • Juarez R (2013a) Group strategyproof cost sharing: The role of indifferences. Games Econom. Behav. 82(C):218–239.CrossrefGoogle Scholar
  • Juarez R (2013b) Optimal group strategyproof cost sharing. Working paper, University of Hawaii, Honolulu, HI.Google Scholar
  • Kelso A, Crawford V (1982) Job matching, coalition formation, and gross substitutes. Econometrica 50(6):1483–1504.CrossrefGoogle Scholar
  • Kim A (2015) Welfare maximization with deferred acceptance auctions in reallocation problems. Bansal N, Finocchi I, eds. Proc. 23rd Annual Eur. Sympos. Algorithms, ESA ’15 (Springer, Berlin), 804–815.CrossrefGoogle Scholar
  • Klemperer P (2010) The product-mix auction: A new auction design for differentiated goods. J. Eur. Econom. Assoc. 8(2–3):526–536.CrossrefGoogle Scholar
  • Korte B, Vygen J (2007) Combinatorial Optimization: Theory and Algorithms (Springer, Berlin).Google Scholar
  • Lehmann D, O’Callaghan LI, Shoham Y (2002) Truth revelation in approximately efficient combinatorial auctions. J. ACM 49(5):577–602.CrossrefGoogle Scholar
  • Li S (2015) Obviously strategy-proof mechanisms. SSRN Working Paper 2560028.CrossrefGoogle Scholar
  • Marx LM, Loertscher S (2015) Prior-free bayesian optimal double-clock auctions. Working paper, Duke University, Durham, NC.Google Scholar
  • Mehta A, Roughgarden T, Sundararajan M (2009) Beyond Moulin mechanisms. Games Econom. Behav. 67(1):125–155.CrossrefGoogle Scholar
  • Milgrom P (2000) Putting auction theory to work: The simultaneous ascending auction. J. Political Econom. 108(2):245–272.CrossrefGoogle Scholar
  • Milgrom P, Segal I (2014) Deferred-acceptance auctions and radio spectrum reallocation. Babaioff M, Conitzer V, Easley D, eds. Proc. 15th ACM Conf. Econom. Comput., EC ’14 (ACM, New York), 185–186.CrossrefGoogle Scholar
  • Milgrom P, Segal I (2015) Deferred-acceptance auctions and radio spectrum reallocation. Working paper, Stanford University, Stanford, CA.Google Scholar
  • Moulin H (1999) Incremental cost sharing: Characterization by coalition strategy-proofness. Soc. Choice Welfare 16(2):279–320.CrossrefGoogle Scholar
  • Mu’alem A, Nisan N (2008) Truthful approximation mechanisms for restricted combinatorial auctions. Games Econom. Behav. 64(2):612–631.CrossrefGoogle Scholar
  • Nguyen T, Sandholm T (2014) Optimizing prices in descending clock auctions. Babaioff M, Conitzer V, Easley D, eds. Proc. 15th ACM Conf. Econom. Comput., EC ’14 (ACM, New York), 93–110.CrossrefGoogle Scholar
  • Nisan N, Roughgarden T, Tardos É, Vazirani VV, eds. (2007) Algorithmic Game Theory (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Parkes DC, Ungar LH (2000a). Iterative combinatorial auctions: Theory and practice. Kautz HA, Porter BW, eds. Proc. 17th National Conf. Artificial Intelligence (AAAI Press, Palo Alto, CA, 74–81.Google Scholar
  • Parkes DC, Ungar LH (2000b) Preventing strategic manipulation in iterative auctions: Proxy agents and price adjustment. Kautz HA, Porter BW, eds. Proc. 17th National Conf. Artificial Intelligence (AAAI, Palo Alto, CA), 82–89.Google Scholar
  • Roughgarden T, Sundararajan M (2009) Quantifying inefficiency in cost-sharing mechanisms. J. ACM 56(4):23:1–23:33.CrossrefGoogle Scholar
  • Sakai S, Togasaki M, Yamazaki K (2003) A note on greedy algorithms for maximum weighted independent set problem. Discrete Appl. Math. 126(2–3):313–322.CrossrefGoogle Scholar
  • Tarjan RE (1983) Data Structures and Network Algorithms (SIAM, Philadelphia).CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.