2020
DOI: 10.1016/j.geb.2019.12.003
|View full text |Cite
|
Sign up to set email alerts
|

Accuracy and retaliation in repeated games with imperfect private monitoring: Experiments

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
8
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 13 publications
(9 citation statements)
references
References 23 publications
0
8
1
Order By: Relevance
“…In any (accuracy-contingent) g-TFT equilibrium, the more accurate the monitoring technology is, the less intensively a player retaliates against the opponent. This view, however, contradicts the experimental results given by Kayaba, Matsushima, and Toyama (2019).…”
Section: Introductioncontrasting
confidence: 56%
See 2 more Smart Citations
“…In any (accuracy-contingent) g-TFT equilibrium, the more accurate the monitoring technology is, the less intensively a player retaliates against the opponent. This view, however, contradicts the experimental results given by Kayaba, Matsushima, and Toyama (2019).…”
Section: Introductioncontrasting
confidence: 56%
“…In a g-TFT strategy, a player retaliates against the opponent by selecting the defective action more often when he/she observes the bad signal than when he/she observes the good signal. In line with this argument, the experimental studies of Kayaba, Matsushima, and Toyama (2019) indicates that among a wide variety of strategies, a significant proportion of experimental subjects adopts a g-TFT strategy even if they employ heterogeneous g-TFT.…”
Section: Introductionmentioning
confidence: 75%
See 1 more Smart Citation
“…However, it is possible that players do not even know what signals other players have observed about their own play, thereby making the monitoring structure private. There are few empirical studies on cooperation under private monitoring, e.g.,Kayaba et al (2016) andAoyagi et al…”
mentioning
confidence: 94%
“…14) . Other than 2 × 2 game settings, there have been affluent experimental works concerning Public Goods Game [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] , experimental economics across subject populations 34) , when faced with a new game, participants use strategies that reflect both behavioral spillover and cognitive load effects 35) , subjects with low accuracy do not tend to retaliate more than those with high accuracy 36) , the average intelligence of the world's appears, help to create a more cooperative world 37) , in experimentally, the more cooperative is raised when the dilemma situation becomes less 38) , the cooperation of the partner increases in the repeated games for a long horizon and no significant distinguish with a short period of time 39) , experience subjects play the vital role for the emergence of cooperation in the repeated prisoner's dilemma games 40) , subjects appear to use a "loss-avoidance" selection principle: they expect others to avoid strategies that always result in losses 41) , characteristics of interaction partner (i.e., a long-term partner or a stranger) affect human cooperation and punishment in public goods experiment in which increasing the cooperation level, punishment is reduced due to potential free riders 42) , longterm interaction is a well-known factor to maintains cooperation; it has been known as theory of direct reciprocity or reciprocal altruism in the social life network [43][44] .…”
Section: Introductionmentioning
confidence: 99%