Explaining Cooperative Behavior in Public Goods Games: The Role of Preferences and Beliefs

2015 ◽  
Vol 2015 (1) ◽  
pp. 16361
Author(s):  
Ryan Murphy ◽  
Kurt Ackermann
Games ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 15 ◽  
Author(s):  
Kurt Ackermann ◽  
Ryan Murphy

There is a large body of evidence showing that a substantial proportion of people cooperate in public goods games, even if the situation is one-shot and completely anonymous. In the present study, we bring together two major endogenous factors that are known to affect cooperation levels, and in so doing replicate and extend previous empirical research on public goods problems in several important ways. We measure social preferences and concurrently elicit beliefs on the individual level using multiple methods, and at multiple times during the experiment. With this rich set of predictor variables at the individual level, we test how well individual contribution decisions can be accounted for in both a one-shot and a repeated interaction. We show that when heterogeneity in people’s preferences and beliefs is taken into consideration, more than 50% of the variance in individual choice behavior can be explained. Furthermore, we show that people do not only update their beliefs in a repeated public goods game, but also that their social preferences change, to some extent, in response to the choices of other decision makers.


2013 ◽  
Vol 392 (9) ◽  
pp. 2038-2045 ◽  
Author(s):  
Zhihu Yang ◽  
Zhi Li ◽  
Te Wu ◽  
Long Wang

2009 ◽  
Vol 99 (4) ◽  
pp. 1335-1355 ◽  
Author(s):  
Michael Kosfeld ◽  
Akira Okada ◽  
Arno Riedl

Sanctioning institutions are of utmost importance for overcoming free-riding tendencies and enforcing outcomes that maximize group welfare in social dilemma situations. We investigate, theoretically and experimentally, the endogenous formation of institutions in public goods provision. Our theoretical analysis shows that players may form sanctioning institutions in equilibrium, including those governing only a subset of players. The experiment confirms that institutions are formed and that it positively affects cooperation and group welfare. However, the data also shows that success is not guaranteed. Players are unwilling to implement equilibrium institutions in which some players have the opportunity to free ride. Our results emphasize the role of fairness in the institution formation process. (JEL C72, D02, H41)


Games ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 35 ◽  
Author(s):  
Marco Tomassini ◽  
Alberto Antonioni

Cooperation is a fundamental aspect of well-organized societies and public good games are a useful metaphor for modeling cooperative behavior in the presence of strong incentives to free ride. Usually, social agents interact to play a public good game through network structures. Here, we use social network structures and computational agent rules inspired by recent experimental work in order to develop models of agent behavior playing public goods games. The results of our numerical simulations based on a couple of simple models show that agents behave in a manner qualitatively similar to what has been observed experimentally. Computational models such as those presented here are very useful to interpret observed behavior and to enhance computationally the limited variation that is possible in the experimental domain. By assuming a priori reasonable individual behaviors, the easiness of running simulations could also facilitate exploration prior to any experimental work in order to vary and estimate a number of key parameters that would be very difficult, if not impossible, to change during the actual experiment.


2012 ◽  
Vol 15 (supp01) ◽  
pp. 1250056 ◽  
Author(s):  
CHENG-YI XIA ◽  
SANDRO MELONI ◽  
YAMIR MORENO

Nowadays, our society is characterized by high levels of social cohesion and cooperation that are in contrast with the selfish nature of human beings. One of the principal challenges for the social sciences is to explain the emergence of agglomeration and cooperative behavior in an environment characterized by egoistic individuals. In this paper we address this long standing problem with the tools given by evolutionary game theory. Specifically, we explore a model in which selfish individuals interact in a public goods creation environment. As a further ingredient each agent is characterized by an individual expectation and, if unsatisfied, can change its location. In this scenario we study the effects of the knowledge of other players' performances on both cooperation and agglomeration and discuss the results in the context of previous and related works. Our results show that cooperation and agglomeration are generally robust against the inclusion of different information on other player performances and, in some cases, it can produce an enhancement of the cooperative behavior. Moreover, our results demonstrate that only in extreme and very competitive environments cooperation and agglomeration are lost.


2014 ◽  
Author(s):  
Nava Ashraf ◽  
◽  
Oriana Bandiera ◽  
Kelsey Jack ◽  
◽  
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