Coordinated and uncoordinated punishment in a team investment game

IF 0.9 4区 经济学 Q3 ECONOMICS
Vicente Calabuig, Natalia Jiménez-Jiménez, Gonzalo Olcina, Ismael Rodriguez-Lara
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引用次数: 0

Abstract

Coordinated punishment occurs when punishment requires a specific number of punishers to be effective, otherwise, no damage will be inflicted on the target. While societies often rely on this punishment device, its benefits are unclear compared to uncoordinated punishment, where punishment decisions are substitutes. In this paper, we compare the efficacy of coordinated and uncoordinated punishment in a team investment game with two investors and one allocator. Our findings indicate that coordinated punishment results in higher levels of cooperation and reciprocity, as measured by the levels of joint investment and the return by allocators. Importantly, this does not translate into higher payoffs: investors use punishment more frequently when this is coordinated, which destroys the efficiency gains generated by the highest investment. In fact, our results suggest that the highest level of efficiency would be achieved if investors were not allowed to punish.

Abstract Image

团队投资游戏中的协调和非协调惩罚
协调惩罚是指惩罚需要特定数量的惩罚者才能有效,否则就不会对目标造成伤害。虽然社会经常依赖这种惩罚手段,但与非协调惩罚相比,协调惩罚的好处并不明显,因为在非协调惩罚中,惩罚决定是相互替代的。在本文中,我们比较了在有两个投资者和一个分配者的团队投资博弈中协调惩罚和非协调惩罚的效果。我们的研究结果表明,协调惩罚能带来更高水平的合作和互惠,这可以用分配者的共同投资水平和回报率来衡量。重要的是,这并没有转化为更高的回报:当协调惩罚时,投资者会更频繁地使用惩罚,这就破坏了最高投资所产生的效率收益。事实上,我们的结果表明,如果不允许投资者进行惩罚,就能实现最高的效率水平。
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
62
期刊介绍: The field of decision has been investigated from many sides. However, research programs relevant to decision making in psychology, management science, economics, the theory of games, statistics, operations research, artificial intelligence, cognitive science and analytical philosophy have remained separate. Theory and Decision is devoted to all aspects of decision making belonging to such programs, but addresses also possible cross-fertilizations between these disciplines which would represent effective advances in knowledge. The purpose of the journal is to let the engineering of choice gradually emerge both for individual and for collective decision making. Formalized treatments will be favoured, to the extent that they provide new insights into the issues raised and an appropriate modeling of the situation considered. Due to its growing importance, expermentation in decision making as well as its links to the cognitive sciences will be granted special attention by Theory and Decision. Of particular interest are: Preference and belief modeling, Experimental decision making under risk or under uncertainty, Decision analysis, multicriteria decision modeling, Game theory, negotiation theory, collective decision making, social choice, Rationality, cognitive processes and interactive decision making, Methodology of the decision sciences. Applications to various problems in management and organization science, economics and finance, computer-supported decision schemes, will be welcome as long as they bear on sufficiently general cases. Analysis of actual decision making processes are also relevant topics for the journal, whether pertaining to individual, collective or negotiatory approaches; to private decisions or public policies; to operations or to strategic choices. Officially cited as: Theory Decis
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