Experimental Business Research
DOI: 10.1007/0-387-24243-0_10
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Dynamic Stability of Nash-Efficient Public Goods Mechanisms: Reconciling Theory and Experiments

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Cited by 5 publications
(5 citation statements)
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“…One's contribution to the other group member's activity B was calculated by multiplying one's rate of support times the other group member's contribution to activity A. This corresponds to the term s i g j in equation (4). As in the previous experiment the same table as in the control game could be used to work out the income from activity B for each level of the (total) contribution to B.…”
Section: Experimental Designmentioning
confidence: 99%
“…One's contribution to the other group member's activity B was calculated by multiplying one's rate of support times the other group member's contribution to activity A. This corresponds to the term s i g j in equation (4). As in the previous experiment the same table as in the control game could be used to work out the income from activity B for each level of the (total) contribution to B.…”
Section: Experimental Designmentioning
confidence: 99%
“…for all i, j ∈ N and t > k ∈ N. Thus, agents best respond to the belief that the average message of the previous k periods will be played in the current period 9 . Note that ψ i j ∈ M j by the convexity of M j .…”
Section: A Best Response Model Of Behaviormentioning
confidence: 99%
“…Recently, Chen (2005) and Chen and Gazzale (2004) study whether mechanisms based on supermodularity conditions achieve convergence to Nash equilibria through learning. They find supermodular mechanisms converge significantly better than non-supermodular mechanisms in experiments.…”
Section: Resultsmentioning
confidence: 99%
“…Recently, Chen (2005) argued that mechanisms used for Nash implementation might perform better if they induce supermodular games, because supermodularity guarantees convergence of standard learning processes. On the other hand, supermodularity is not a necessary condition for convergence of these learning processes.…”
Section: Introductionmentioning
confidence: 99%