Stochastic Asymmetric Blotto Games: Theory and Experimental Evidence
AbstractWe study a 2-player Blotto game where the n items have asymmetric values. The winner of each item is determined stochastically using a lottery mechanism. We analyze two payoff objectives: (i) players maximize their total expected payoffs and (ii) players maximize their probability of winning a majority value of all items. We develop new theoretical results for the majority rule case and show how that payoff objective results in qualitatively different equilibrium behavior than the total expected payoff objective. We report results from an experiment where the two payoff objectives are compared and find strong support for our theoretical predictions.
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Bibliographic InfoPaper provided by University of Pittsburgh, Department of Economics in its series Working Papers with number 509.
Date of creation: Aug 2013
Date of revision: Nov 2013
Colonel Blotto game; Contests; Resource Allocation; Lotteries; Electoral College; Game Theory; Political Economy; Experimental Economics.;
Find related papers by JEL classification:
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
- D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-08-10 (All new papers)
- NEP-CBE-2013-08-10 (Cognitive & Behavioural Economics)
- NEP-CDM-2013-08-10 (Collective Decision-Making)
- NEP-EXP-2013-08-10 (Experimental Economics)
- NEP-GTH-2013-08-10 (Game Theory)
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