RePEc: Research Papers in Economics · 2016 · 114 citations · 33 references
Open access
Multiple TasksBehavioral Decision MakingInvestment BehaviorGame TheoryTheoretical AnalysisRandom Problem SelectionExperimental Decision MakingBiasManagementExperimental EconomicsAlgorithmic Mechanism DesignSavings BehaviorAuction TheoryDecision TheoryMechanism DesignEconomicsBehavioral SciencesBehavioral EconomicsIncentive MechanismBusinessIncentive-centered DesignBehavioral ExperimentsDecision ScienceExperimental EconomistsIncentive Model
Experimental economists currently lack a convention for how to pay subjects in experiments with multiple tasks. We provide a theoretical framework for analyzing this question. Assuming monotonicity (dominated gambles are never chosen) and nothing else, we prove that paying for one randomly-chosen problem — the random problem selection (RPS) mechanism — is essentially the only incentive compatible mechanism. Paying for every period is similarly justified when we assume only a ‘no complementarities at the top’ (NCaT) condition. To help experimenters decide which is appropriate for their particular experiment, we also discuss empirical tests of these two assumptions.
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Roger B. Myerson · Mathematics of Operations Research · 1981 · 6K citations
Mathematical Programming, Electronic Auction, Engineering +17
Risk Aversion and Incentive Effects
Charles A. Holt, Susan K. Laury · American Economic Review · 2002 · 5.6K citations
Behavioral Decision Making, Choice Theory, Revealed Preference +23