A Note on Binary Strategy-Proof Social Choice Functions
Achille Basile,
Anna De Simone () and
Ciro Tarantino
Additional contact information
Achille Basile: Dipartimento di Scienze Economiche e Statistiche, Università Federico II di Napoli, 80126 Napoli, Italy
Anna De Simone: Dipartimento di Matematica e Applicazioni R. Caccioppoli, Università Federico II di Napoli, 80126 Napoli, Italy
Ciro Tarantino: Dipartimento di Scienze Economiche e Statistiche, Università Federico II di Napoli, 80126 Napoli, Italy
Games, 2022, vol. 13, issue 6, 1-19
Abstract:
Let Φ n be the set of the binary strategy-proof social choice functions referred to a group of n voters who are allowed to declare indifference between the alternatives. We provide a recursive way to obtain the set Φ n + 1 from the set Φ n . Computing the cardinalities | Φ n | presents difficulties as the computation of the Dedekind numbers. The latter give the analogous number of social choice functions when only strict preferences are admitted. A comparison is given for the known values. Based on our results, we present a graphical description of the binary strategy-proof social choice functions in the case of three voters.
Keywords: binary social choice functions; strategy-proofness; indifference; monotonicity; Dedekind numbers (search for similar items in EconPapers)
JEL-codes: C C7 C70 C71 C72 C73 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2073-4336/13/6/78/pdf (application/pdf)
https://www.mdpi.com/2073-4336/13/6/78/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jgames:v:13:y:2022:i:6:p:78-:d:976815
Access Statistics for this article
Games is currently edited by Ms. Susie Huang
More articles in Games from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().