Matching with couples revisited

  • Authors:
  • Itai Ashlagi;Mark Braverman;Avinatan Hassidim

  • Affiliations:
  • MIT, Cambridge, MA, USA;University of Toronto, Toronto, ON, Canada;Google, Tel aviv, Israel

  • Venue:
  • Proceedings of the 12th ACM conference on Electronic commerce
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

It is well known that a stable matching in a many-to-one matching market with couples need not exist. We introduce a new matching algorithm for such markets and show that for large random markets the algorithm will find a stable matching with high probability. In our model we allow the number of couples to grow at a near-linear rate. Furthermore, truth-telling is an approximated equilibrium in the game induced by the new matching algorithm. Our results are tight: for markets in which the number of couples grows at a linear rate, we show that with constant probability no stable matching exists.