
We study a new variant of the school choice problem in which capacities can be altered by distributing additional seats across schools in response to students’ reported preferences. We show that heuristics solutions to this capacity design problem can be inefficient, even if they focus on allocating seats to the most demanded schools. However, we introduce a simple myopic algorithm that characterizes the set of efficient matchings among those that respect priorities.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
