Value dividends, the Harsanyi set and extensions, and the proportional Harsanyi payoff

Manfred Besner

MPRA Paper from University Library of Munich, Germany

Abstract: A new concept for TU-values, called value dividends, is introduced. Similar to Harsanyi dividends, value dividends are defined recursively and provide new characterizations of values from the Harsanyi set. In addition, we generalize the Harsanyi set where each of the TU-values from this set is defined by the distribution of the Harsanyi dividends via sharing function systems and give an axiomatic characterization. As a TU value from the generalized Harsanyi set, we present the proportional Harsanyi payoff, a new proportional solution concept. As a side benefit, a new characterization of the Shapley value is proposed. None of our characterizations uses additivity.

Keywords: TU-game; ·; Value; dividends; ·; (Generalized); Harsanyi; set; ·; Weighted; Shapley; values; ·; (Proportional); Harsanyi; payoff; ·; Sharing; function; systems (search for similar items in EconPapers)
JEL-codes: C7 C71 (search for similar items in EconPapers)
Date: 2019-02-18
New Economics Papers: this item is included in nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/92247/1/MPRA_paper_92247.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/92326/1/MPRA_paper_92326.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/109330/1/MPRA_paper_92326.pdf revised version (application/pdf)

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:pra:mprapa:92247

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().