Regulatory effect of implicit acceptance during outcome evaluation: The temporal dynamics in an event-related potential study
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The evidence of outcome bias was explored in a two-player (Player 1: allocator and Player 2: evaluator) economic game experiment where the reward allocation was made between two players. The experimental factors were the intention of an allocator (Player 1), the type of chosen dice (selfish, fair, and generous), and the outcome (selfish, fair, and generous). The outcome bias occurred when the type of dice chosen by the allocator (Player 1) was not only a selfish one but also a generous one. The comparison between the two conditions (intentional and no-intentional conditions) definitely showed that Player 2 punished Player 1 to a larger extent when the outcome was disadvantageous for Player 2 (selfish outcome) and Player 2 rewarded Player 1 when the outcome was advantageous (generous outcome) irrespective of whether the die was chosen out of the three types intentionally or not. Moreover, the outcome bias was not observed when the outcome was fair. Thus, we could verify the hypothesis that we are readily got trapped in the outcome bias. Some implications were given for safety management that put more emphasis on the process than on the outcome.
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This chapter describes different ways to identify outcome measures once the outcomes that matter most are identified. These outcome measures can be used to see if outcomes are improving or not. The chapter also gives an example of how to organize chosen outcome measures using the Capability, Comfort, and Calm framework. Guiding principles for narrowing an outcome measure set to a small set of actionable measures are outlined.
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We formulate a dynamic learning-and-adjustment model of a market in which sellers choose signals that potentially reveal their types. If the dynamic process selects a unique limiting outcome, then that outcome must be an undefeated equilibrium; though to be undefeated does not suffice to be the sole limiting outcome. If a Riley outcome exists that provides type sellers with a higher utility than any other equilibrium outcome, then that outcome is the unique limiting outcome of our model. In the absence of a Riley outcome, or if high type workers obtain higher utility in a pooling equilibrium than in the Riley outcome, a unique limit outcome will only emerge under very stringent conditions. If these conditions fail, the market will cycle between various equilibria and, possibly, nonequilibrium outcomes
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We formulate a dynamic learning-and-adjustment model of a market in which sellers choose signals that potentitally reveal their types. If the dynamic process selects a unique limiting outcome, then that outcome must be an undefeated equilibrium; though to be undefeated does not suffice to be the sole limiting outcome. If a Riley outcome exists that provides type sellers with a higher utility than any other equilibrim outcome, then that outcome is the unique limiting outcome of our model. In the absence of a Riley outcome,. or if high type workers obtain higher utility in a pooling equlibrium than in the Riley outcome, a unique limit outcome will only emerge under very stringent conditions. If these conditions fail, the market will cycle between various equlibria and, possibly, nonequilibrrium outcomes.
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Planner
Social planner
Mechanism Design
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The Quasi-purchase system of research outcome is a research funds' system based upon research outcome. The thesis analyses the characteristics of research outcomes' honour under the quasi-purchase system of research outcome. It researches the evaluation of the follow-up impact of the honoured outcome. And make a greater impact on the honoured outcome for incentives and penalties for false results of the proposal.
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The nationally-recognized Susquehanna
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