A group majority voting model of public good provision

1987 ◽  
Vol 4 (2) ◽  
pp. 117-131 ◽  
Author(s):  
R. B. Morton
2021 ◽  
Vol 8 (2) ◽  
pp. 205316802110141
Author(s):  
Philipp Harms ◽  
Claudia Landwehr ◽  
Maximilian Lutz ◽  
Markus Tepe

What determines citizens’ preferences over alternative decision-making procedures – the personal gain associated with a procedure, or the intrinsic value assigned to it? To answer this question, we present results of a laboratory experiment in which participants select a procedure to decide on the provision of a public good. In the first stage, they choose between majority voting and delegation to a welfare-maximizing algorithm. In the second stage, subjects either vote on the public good provision, or the decision is taken by the algorithm. We define three experimental conditions in which participants receive information about whether a majority in the group faces a positive or negative pay-off from the public good provision, about whether there is a positive group benefit from its provision, or neither kind of information. Findings confirm the importance of instrumental motives in procedural choices. At the same time, however, a significant share of participants chose a procedure that does not maximize their individual benefit. While majority voting seems to be preferred for intrinsic values of fairness and equality, support for delegation to the welfare-maximizing algorithm increases if the group benefit from a public good is known – even in participants who are net payers for its provision.


Games ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 4
Author(s):  
David Jimenez-Gomez

I develop a dynamic model with forward looking agents, and show that social pressure is effective in generating provision in a public good game: after a small group of agents start contributing to the public good, other agents decide to contribute as well due to a fear of being punished, and this generates contagion in the network. In contrast to earlier models in the literature, contagion happens fast, as part of the best response of fully rational individuals. The network topology has implications for whether contagion starts and the extent to which it spreads. I find conditions under which an agent decides to be the first to contribute in order to generate contagion in the network, as well as conditions for contribution due to a self-fulfilling fear of social pressure.


Games ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 55
Author(s):  
Markus Kinateder ◽  
Luca Paolo Merlino

In this paper, we propose a game in which each player decides with whom to establish a costly connection and how much local public good is provided when benefits are shared among neighbors. We show that, when agents are homogeneous, Nash equilibrium networks are nested split graphs. Additionally, we show that the game is a potential game, even when we introduce heterogeneity along several dimensions. Using this result, we introduce stochastic best reply dynamics and show that this admits a unique and stationary steady state distribution expressed in terms of the potential function of the game. Hence, even if the set of Nash equilibria is potentially very large, the long run predictions are sharp.


2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Hide-Fumi Yokoo

AbstractI develop a model of inequality aversion and public goods that allows the marginal rate of substitution to be variable. As a theoretical foundation, utility function of the standard public goods model is nested in the Fehr-Schmidt model. An individual’s contribution function for a public good is derived by solving the problem of kinky preference and examining both interior and corner solutions. Results show that the derived contribution function is not monotonic with respect to the other individual’s provision. Thus, the model can be used to explain empirical evidence for the effect of social comparison on public-good provision.


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