Skip to main content

Approximate Efficiency in Matching Markets

  • Conference paper
  • First Online:
Web and Internet Economics (WINE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10660))

Included in the following conference series:

Abstract

We propose a measure of approximate ex-ante Pareto efficiency in matching markets. According to this measure, a lottery over matchings is \(\gamma \)-approximately efficient if there is no alternate lottery in which each agent’s ex-ante expected utility increases by an \(\gamma \) factor. A mechanism is \(\gamma \)-approximately efficient if every lottery produced in equilibrium is \(\gamma \)-approximately efficient. We argue this is the natural extension of approximate efficiency in transferable-utility settings to our nontransferable-utility setting. Using this notion, we are able to quantify the intuited efficiency improvement of the so-called Boston mechanism and the recently-proposed choice-augmented deferred acceptance mechanism over the random serial dictatorship mechanism. Furthermore, we provide the first formal statement and analysis of the Raffle mechanism, which is conceptually simpler than the Boston mechanism and has a comparable efficiency guarantee.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    See also the considerable research in the optimization literature on the so-called “Santa Claus problem,” or maximin welfare optimization [7]. We are not aware of work that studies the maximin welfare of existing matching mechanisms.

  2. 2.

    It is not hard to make this example more extreme in a market with n agents, producing an approximately efficient lottery with ex ante value 1 for all agents whereas the efficient lottery has value 1 for all but one agent and value n for a select agent.

  3. 3.

    For example, the lottery that with probability 1/2 allocates the skateboard to Jieming and the bicycle to Jolene, and otherwise allocates nothing to either, would only be 4-approximate under this stricter definition, since an alternative would be to always allocate the bicycle to Jolene and the skateboard to Jieming.

  4. 4.

    By the Birkoff von Neumann theorem, a lottery is feasible if and only if it is a distribution over deterministic assignments in which each consumer is assigned at most one good and each good is not over-capacitated.

  5. 5.

    Another mechanism, the “Probabilistic Serial (PS)” mechanism, is fairly elaborate to describe so we do not formally do so here [8]. In the continuum model on which we focus most of our analysis, this mechanism is equivalent to RSD [17]. Thus our negative results on RSD apply to the PS mechanism in this continuum model.

  6. 6.

    As they focus on the school choice setting, they assume goods have priorities and actually build off of c-DA, but as noted above, c-DA with single tie-breaking and RSD are equivalent in our setting.

  7. 7.

    To handle discontinuities due to tie-breaking at 0 ticket allocation for under-demanded goods, we impose a technical restriction that if \(x^i_j > 0\) then \(x^i_j \ge \epsilon \) for some arbitrarily small \(\epsilon > 0\). This restriction impacts all value calculations by a quantity proportional to \(\epsilon \) which tends to 0, so we will omit these terms for brevity.

  8. 8.

    This limit can be infinite if good j is underdemanded.

  9. 9.

    In the full version of the paper, we discuss how to approximate these marginal gains—and hence the order \(\pi \)—in polynomial time, and argue that a small approximation error leads only to a small loss in approximation factor.

  10. 10.

    This also implies a linear lower bound for the consumer-proposing deferred acceptance mechanism (c-DA). See the full version of the paper for more details.

  11. 11.

    See, for example, the displayed information for the last round of the Singapore system at http://www.hdb.gov.sg/cs/infoweb/residential/buying-a-flat/new/application-status.

References

  1. Abdulkadiroğlu, A., Che, Y.-K., Yasuda, Y.: Resolving conflicting preferences in school choice: the “Boston mechanism”? Reconsidered. Am. Econ. Rev. 101(1), 399–410 (2011)

    Article  Google Scholar 

  2. Abdulkadiroğlu, A., Che, Y.-K., Yasuda, Y.: Expanding “choice” in school choice. Am. Econ. J.: Microeconomics 7(1), 1–42 (2015)

    Google Scholar 

  3. Abraham, D., Irving, R., Kavitha, T., Mehlhorn, K.: Popular matchings. SIAM J. Comput. 37, 1030–1045 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  4. Anshelevich, E., Postl, J.: Randomized social choice functions under metric preferences. J. Artif. Intell. Res. 58, 797–827 (2017)

    MathSciNet  MATH  Google Scholar 

  5. Azevedo, E., Budish, E.: Strategy-proofness in the large (2015). http://faculty.chicagobooth.edu/eric.budish/research/Azevedo-Budish-SPL.pdf

  6. Babaioff, M., Immorlica, N., Lucier, B., Weinberg, S.M.: A simple and approximately optimal mechanism for an additive buyer. In: 2014 IEEE 55th Annual Symposium on Foundations of Computer Science (FOCS), pp. 21–30. IEEE (2014)

    Google Scholar 

  7. Bansal, N., Sviridenko, M.: The Santa Claus problem. In: ACM Symposium on Theory of Computing (STOC) (2006)

    Google Scholar 

  8. Bogomolnaia, A., Moulin, H.: A new solution to the random assignment problem. J. Econ. Theory 100(2), 295–328 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  9. Boutilier, C., Caragiannis, I., Haber, S., Lu, T., Procaccia, A., Sheffet, O.: Optimal social choice functions: a utilitarian view. Artif. Intell. 227, 190–213 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  10. Branzei, S., Gkatzelis, V., Mehta, R.: Nash social welfare approximation for strategic agents. In: Proceedings of the 2017 ACM Conference on Economics and Computation, EC 2017 (2017)

    Google Scholar 

  11. Budish, E.: The combinatorial assignment problem: approximate competitive equilibrium from equal incomes. J. Polit. Econ. 119(6), 1061–1103 (2011)

    Article  Google Scholar 

  12. Budish, E., Che, Y.-K., Kojima, F., Milgrom, P.: Designing random allocation mechanisms: theory and applications. Am. Econ. Rev. 103(2), 585–623 (2013)

    Article  Google Scholar 

  13. Budish, E., Kessler, J.B.: Bringing real market participants’ real preferences into the lab: an experiment that changed the course allocation mechanism at Wharton (2016). http://faculty.chicagobooth.edu/eric.budish/research/BudishKessler_July2016.pdf

  14. Caragiannis, I., Kurokawa, D., Moulin, H., Procaccia, A.D., Shah, N., Wang, J.: The unreasonable fairness of maximum Nash welfare. In: ACM Conference on Economics and Computation (2016)

    Google Scholar 

  15. Chade, H., Smith, L.: Simultaneous search. Econometrica 74(5), 1293–1307 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  16. Chakrabarty, D., Swamy, C.: Welfare maximization and truthfulness in mechanism design with ordinal preferences. In: Innovations in Theoretical Computer Science (ITCS) (2014)

    Google Scholar 

  17. Che, Y.-K., Kojima, F.: Asymptotic equivalence of probabilistic serial and random priority mechanisms. Econometrica 78(5), 1625–1672 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  18. Christodoulou, G., Kovács, A., Schapira, M.: Bayesian combinatorial auctions. J. ACM 63(2), 11 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  19. Featherstone, C.R., Niederle, M.: Boston versus deferred acceptance in an interim setting: an experimental investigation. Games Econ. Behav. 100, 353–375 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  20. Feige, U., Feldman, M., Immorlica, N., Izsak, R., Lucier, B., Syrgkanis, V.: A unifying hierarchy of valuations with complements and substitutes. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence, pp. 872–878 (2015)

    Google Scholar 

  21. Feldman, M., Fu, H., Gravin, N., Lucier, B.: Simultaneous auctions are (almost) efficient. In: Proceedings of the 45th ACM Symposium on Theory of Computing, pp. 201–210 (2013)

    Google Scholar 

  22. Feldman, M., Immorlica, N., Lucier, B., Roughgarden, T., Syrgkanis, V.: The price of anarchy in large games. In: Proceedings of the 48th ACM Symposium on Theory of Computing, pp. 963–976 (2016)

    Google Scholar 

  23. Hart, S., Nisan, N.: Approximate revenue maximization with multiple items. In: Proceedings of the 13th ACM Conference on Electronic Commerce, EC 2012, pp. 656–656 (2012)

    Google Scholar 

  24. Hartline, J.D., Roughgarden, T.: Simple versus optimal mechanisms. In: Proceedings of the 10th ACM Conference on Electronic Commerce, pp. 225–234 (2009)

    Google Scholar 

  25. Hassidim, A., Kaplan, H., Mansour, Y., Nisan, N.: Non-price equilibria in markets of discrete goods. In: Proceedings of the 12th ACM Conference on Electronic Commerce, pp. 295–296 (2011)

    Google Scholar 

  26. Hassidim, A., Romm, A., Shorrer, R.I.: ‘strategic’ behavior in a strategy-proof environment (2016). https://ssrn.com/abstract=2784659

  27. Hylland, A., Zeckhauser, R.: The efficient allocation of individuals to positions. J. Polit. Econ. 87(2), 293–314 (1979)

    Article  MATH  Google Scholar 

  28. Papadimitriou, C.H., Yannakakis, M.: On the approximability of trade-offs and optimal access of web sources. In: Proceedings of the 41st Annual Symposium on Foundations of Computer Science, FOCS 2000 (2000)

    Google Scholar 

  29. Pycia, M.: The cost of ordinality, June 2014

    Google Scholar 

  30. Rawls, J.: A Theory of Justice. Cambridge, Belknap (1971)

    Google Scholar 

  31. Donald John Roberts and Andrew Postelwaite: The incentives for price-taking behavior in large exchange economies. Econometrica 44(1), 115–127 (1976)

    Article  MathSciNet  Google Scholar 

  32. Shapley, L., Shubik, M.: Trade using one commodity as a means of payment. J. Polit. Econ. 85(5), 937–968 (1977)

    Article  Google Scholar 

  33. Syrgkanis, V., Tardos, E.: Composable and efficient mechanisms. In: Proceedings of the 45th ACM Symposium on Theory of Computing, pp. 211–220 (2013)

    Google Scholar 

Download references

Acknowledgements

We are grateful to Eric Budish, Peng Shi and especially Christina Lee for useful comments. All errors are our own.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nicole Immorlica .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Immorlica, N., Lucier, B., Weyl, G., Mollner, J. (2017). Approximate Efficiency in Matching Markets. In: R. Devanur, N., Lu, P. (eds) Web and Internet Economics. WINE 2017. Lecture Notes in Computer Science(), vol 10660. Springer, Cham. https://doi.org/10.1007/978-3-319-71924-5_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-71924-5_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71923-8

  • Online ISBN: 978-3-319-71924-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics