We study how conflict in contest games is influenced by rival parties being groups and by group members being able to punish each other. Our motivation stems from the analysis of socio-political conflict. The theoretical prediction is that conflict expenditures are independent of group size and of whether punishment is available or not. We find, first, that conflict expenditures of groups are substantially larger than those of individuals, and both are above equilibrium. Second, allowing group members to punish each other leads to even larger conflict expenditures. These results contrast with those from public goods experiments where punishment enhances efficiency.
We report the results of laboratory experiments on rent-seeking contests with endogenous participation. Theory predicts that (a) contest entry and rent-seeking expenditures increase with the size of the prize and (b) earnings are equalized between the contest and the outside option. While the directional predictions offered in (a) are supported in the data, the level predictions are not. Prediction (b) is not supported in the data: when the prize is large, contest participants earn more than the outside option. When the prize is small, contest participants earn less. Previous studies of gender and contest competition suggest that females should (a) not perform as well in the contest; and (b) enter at a lower rate. We find some support for (a) but not for (b). Women participate in the contest at the same rate as men.
"An extensive literature demonstrates the existence of framing effects in the laboratory and in questionnaire studies. This paper reports new evidence from a natural field experiment using a subject pool one might expect to be particularly resistant to such effects: experimental economists. We find that while the behaviour of junior experimental economists is affected by the description of the decision task they face, this is not the case for the more senior members of our subject pool." [author's abstract
This paper presents theory and experiments to investigate how network architecture influences route-choice behavior. We consider changes to networks that, theoretically, exhibit the PigouKnight-Downs and Braess Paradoxes. We show that these paradoxes are specific examples of more general classes of network change properties that we term the "least congestible route" and "size" principles, respectively. We find that technical improvements to networks induce adjustments in traffic flows. In the case of network changes based on the Pigou-Knight-Downs Paradox, these adjustments undermine short-term payoff improvements. In the case of network changes based on the Braess Paradox, these adjustments reinforce the counter-intuitive, but theoretically predicted, effect of reducing payoffs to network users. Although aggregate traffic flows are close to equilibrium levels, we see some systematic deviations from equilibrium. We show that the qualitative features of these discrepancies can be accounted for by a simple reinforcement learning model.
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