• Media type: E-Article
  • Title: Leximin Allocations in the Real World
  • Contributor: Kurokawa, David; Procaccia, Ariel D.; Shah, Nisarg
  • imprint: Association for Computing Machinery (ACM), 2018
  • Published in: ACM Transactions on Economics and Computation, 6 (2018) 3-4, Seite 1-24
  • Language: English
  • DOI: 10.1145/3274641
  • ISSN: 2167-8375; 2167-8383
  • Keywords: Computational Mathematics ; Marketing ; Economics and Econometrics ; Statistics and Probability ; Computer Science (miscellaneous)
  • Origination:
  • Footnote:
  • Description: <jats:p> As part of a collaboration with a major California school district, we study the problem of <jats:italic>fairly</jats:italic> allocating unused classrooms in public schools to charter schools. Our approach revolves around the randomized <jats:italic>leximin mechanism</jats:italic> . We extend previous work to show that the leximin mechanism is proportional, envy-free, Pareto optimal, and group strategyproof, not only in our classroom allocation setting, but in a general framework that subsumes a number of settings previously studied in the literature. We also prove that the leximin mechanism provides a (worst-case) 4-approximation to the maximum number of classrooms that can possibly be allocated. Our experiments, which are based on real data, show that a non-trivial implementation of the leximin mechanism scales gracefully in terms of running time (even though the problem is intractable in theory), and performs extremely well with respect to a number of efficiency objectives. We establish the practicability of our approach, and discuss issues related to its deployment. </jats:p>