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Book chapters by Zoltán Elekes and Balázs Lengyel in Handbook of Labour Mobility Read more

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Beyond Forecast Accuracy: Evaluating the Error–Profit Paradox in AI-Based Copper Price Prediction - new co-authored study by Tibor Bareith in Machine Learning and Knowledge Extraction journal Read more

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New research article by Dóra Gábriel, Monika Mária Váradi, Krisztina Németh, Bálint Koós and co-authors has been published in Journal of International Migration and Integration Read more

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Same Practices, Different Outcomes: Gender Gaps in Organic Certification - new research study by Imre Fertő and Valéria Lekics in Sustainable Development Read more

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KTI Seminar: Héctor Hermida-Rivera – Self-Equivalent Voting Rules

The presentation will take place in a hybrid format via zoom interface or in person in the seminar room T.4.23 on 22.05.2025, from 13.00.

Speaker: Héctor Hermida-Rivera

Title: Self-Equivalent Voting Rules

Abstract:

In this paper, I introduce a novel stability axiom for stochastic voting rules—called self-equivalence—by which a society considering whether to replace its voting rule using itself will choose not do so. I then show that under the unrestricted strict preference domain, a voting rule satisfying the democratic principles of anonymity, optimality, monotonicity and neutrality is self-equivalent if and only if it is proportional (i.e., uniform random dictatorship). Thus, any society that desires stability and adheres to the aforementioned democratic principles is bound to either employ proportional voting rule or decide whether to change its voting rule using a voting rule other than itself.

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