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The Parameterized Expectations Algorithm (PEA) is a powerful tool for solving nonlinear stochastic dynamic models. However, it has an important shortcoming:it is not a contraction mapping technique an...
When entering task performance contexts we generally have expectations about both the task and how well we will perform on it. When those expectations go unmet, we experience psychological discomfort ...
This paper combines experimental and field data to examine how those with the responsibility to enforce rules may penalize transgressors more harshly when they are faced with a conflicting motivation ...
This paper seeks to answer three questions. First, which drives the success of a platform, installed base, platform quality or consumer expectations? Second, when does a monopoly emerge in a platform-...
We analyze a controlled price formation experiment in the laboratory that shows evidence for bubbles. We calibrate two models that demonstrate with high statistical significance that these laboratory ...
We study the informational efficiency of a market with a single traded asset. The price initially differs from the fundamental value, about which the agents have noisy private information (which is, ...

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