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Factors influencing the spatial distribution of international retirement migrants settling in Hungary - new study by Bálint Koós, Patrik Tátrai & Dóra Gábriel Read more

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Assessing the readiness of Hungarian cities for autonomous vehicles - new research article by Melinda Smahó and co-authors in Cities journal Read more

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Post-socialism: still here? New research article by Erika Nagy in Eurasian Geography and Economics journal Read more

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Towards One Aim through Different Pathways – Similarities and Differences in National Qualifying Competitions for the International Geography Olympiad - by Dóra Bálint Read more

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KTI Seminar: Christopher Stapenhurst – Randomized Deferred Acceptance and Possibility Based Strategy Proofness

The presentation will take place in a hybrid format via zoom interface or in person in the room K.0.11-12 on 29.05.2025, from 13.00.

Speaker: Christopher Stapenhurst (BME)

Title: Randomized Deferred Acceptance and Possibility Based Strategy Proofness
(joint work with József Pínter and Regina Stangl)

Abstract:

The deferred acceptance (DA) algorithm is known to be strategy-proof only for the proposing side in two-sided matching, with no deterministic and stable mechanism achieving strategy-proofness for both sides. We propose a randomized variant of DA—where man-proposing and woman-proposing DA are selected with equal probability—and show that it achieves strategy-proofness when agents evaluate lotteries over matchings optimistically (i.e., focusing on their best possible realization). To generalize this insight, we introduce possibility-based strategy-proofness (PBSP), a new incentive concept requiring that no agent can misreport preferences to make a strictly better matching possible in the lottery. We prove that random DA satisfies PBSP, offering a viable path to incentive-compatible stable matching without restricting to deterministic mechanisms. Our results demonstrate how stochasticity, combined with ordinal evaluations, can circumvent classic impossibility theorems.

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