Sequential Majoritarian Blotto Games
Tilman Klumpp () and
Kai Konrad
No 2018-8, Working Papers from University of Alberta, Department of Economics
Abstract:
We study Colonel Blotto games with sequential battles and a majoritarian objective. For a large class of contest success functions, the equilibrium is unique and characterized by an even split: Each battle that is reached before one of the players wins a majority of battles is allocated the same amount of resources from the player's overall budget. As a consequence, a player's chance of winning any particular battle is independent of the battle field and of the number of victories and losses the player accumulated in prior battles. This result is in stark contrast to equilibrium behavior in sequential contests that do not involve either fixed budgets or a majoritarian objective. We also consider the equilibrium choice of an overall budget. For many contest success functions, if the sequence of battles is long enough the payoff structure in this extended games resembles an all-pay auction without noise.
Keywords: Blotto games; dynamic battles; multi-battle contest; all-pay auctions; sequential elections (search for similar items in EconPapers)
JEL-codes: D72 D74 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2018-05-29
New Economics Papers: this item is included in nep-gth and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://sites.ualberta.ca/~econwps/2018/wp2018-08.pdf Full text (application/pdf)
Related works:
Working Paper: Sequential Majoritarian Blotto Games (2018) 
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:ris:albaec:2018_008
Access Statistics for this paper
More papers in Working Papers from University of Alberta, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Joseph Marchand ().