Capacity Planning in Stable Matching

Optimizing School Seat Allocation to Improve Access and Fairness A growing shortage of public school seats in Chile has left thousands of students unassigned each year. In their forthcoming Operations Research paper, “Capacity Planning in Stable Matching,” Bobbio et al. (2025) develop a novel framework that jointly determines where to expand school capacities and computes a student-optimal stable assignment in the enlarged market. The study develops exact and heuristic methods that make this theoretically complex problem tractable in practice. Using rich administrative data from the Chilean school choice system, the framework demonstrates how adding a limited number of seats can trigger improvement chains benefiting multiple students, also revealing diminishing marginal returns to capacity expansion. Beyond the Chilean context, the framework provides a versatile toolkit that can be adapted to other constrained allocation problems, offering a rigorous foundation for data-driven policy design in education and beyond.

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Publication Details

Journal
Operations Research
Published
2025-10-03
DOI
https://doi.org/10.1287/opre.2023.0386
Primary Topic
Game Theory and Voting Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Capacity Planning in Stable Matching

Margarida Carvalho, Federico Bobbio, Alfredo Torrico, Ignacio Ríos et al.
Operations Research
Game Theory and Voting Systems
article

Capacity Planning in Stable Matching

Margarida Carvalho, Federico Bobbio, Alfredo Torrico, Ignacio Ríos, Andrea Lodi
article en

Abstract

Optimizing School Seat Allocation to Improve Access and Fairness A growing shortage of public school seats in Chile has left thousands of students unassigned each year. In their forthcoming Operations Research paper, “Capacity Planning in Stable Matching,” Bobbio et al. (2025) develop a novel framework that jointly determines where to expand school capacities and computes a student-optimal stable assignment in the enlarged market. The study develops exact and heuristic methods that make this theoretically complex problem tractable in practice. Using rich administrative data from the Chilean school choice system, the framework demonstrates how adding a limited number of seats can trigger improvement chains benefiting multiple students, also revealing diminishing marginal returns to capacity expansion. Beyond the Chilean context, the framework provides a versatile toolkit that can be adapted to other constrained allocation problems, offering a rigorous foundation for data-driven policy design in education and beyond.

Operations Research
The University of Texas at Dallas (US), Cornell University (US), Jacobs Institute (US), Département d'Informatique (FR)
Openalex Percentile: Top 63%
Game Theory and Voting Systems
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Capacity Planning in Stable Matching — Margarida Carvalho, Federico Bobbio, et al. · Operations Research (2025) | TGRS Research Map | TGRS