• Medientyp: E-Book
  • Titel: Assignment maximization
  • Beteiligte: Afacan, Mustafa Oðuz [VerfasserIn]; Bó, Inácio Guerberoff Lanari [VerfasserIn]; Turhan, Bertan [VerfasserIn]
  • Erschienen: Berlin, Germany: Wissenschaftszentrum Berlin für Sozialforschung gGmbH, [2018]
  • Erschienen in: Wissenschaftszentrum Berlin für Sozialforschung: Discussion paper ; 2018201
  • Umfang: 1 Online-Ressource (circa 33 Seiten); Illustrationen
  • Sprache: Englisch
  • Identifikator:
  • Schlagwörter: Graue Literatur
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: We evaluate the goal of maximizing the number of individually rational assignments. We show that it implies incentive, fairness, and implementation impossibilities. Despite that, we present two classes of mechanisms that maximize assignments. The first are Pareto efficient, and undominated - in terms of number of assignments - in equilibrium. The second are fair for unassigned students and assign weakly more students than stable mechanisms in equilibrium. We provide comparisons with well-known mechanisms through computer simulations. Those show that the difference in number of matched agents between the proposed mechanisms and others in the literature is large and significant.
  • Zugangsstatus: Freier Zugang