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Gradual College Admission

Gradual college admission
Authors: Guillaume Haeringer; Vincent Iehlé;

Gradual College Admission

Abstract

We study multi-period college admission problems where, at each period, a matching is computed and students have the option to either finalize their matches or participate to the next period. Students participating to an additional run of the matching mechanism can submit a new rank order list to the matching clearinghouse. Such gradual matching systems can adequately account for an additional source of heterogeneity among participants, like withdrawals. We identify the conditions under which such systems first ensure that participating to additional runs of the matching mechanism is safe for participants (in the sense that they can secure the spot they obtained at the previous round) and second yield to stable matchings (with a stability concept adapted to this environment). We use our results to evaluate the former French college admission system, where students could finalize their matches at different dates up to two months ahead the end of the admission campaign.

Country
France
Keywords

Matching models, JEL classification: C78, [SHS.EDU]Humanities and Social Sciences/Education, [SHS.EDU] Humanities and Social Sciences/Education, JEL: C - Mathematical and Quantitative Methods/C.C7 - Game Theory and Bargaining Theory/C.C7.C78 - Bargaining Theory • Matching Theory, [INFO] Computer Science [cs], French college admissions system, Education, [SHS]Humanities and Social Sciences, school choice problem, [INFO]Computer Science [cs], D02 gradual matching, gradual matching, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, early admission, JEL: I - Health, [QFIN]Quantitative Finance [q-fin], withdrawal, and Welfare/I.I2 - Education and Research Institutions/I.I2.I23 - Higher Education • Research Institutions, multi-period matching, stability, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, [QFIN] Quantitative Finance [q-fin], two-sided matching, [SHS] Humanities and Social Sciences

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    selected citations
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    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).
    19
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
Green
bronze