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A flexible forecast density combination approach is introduced that can deal with large data sets. It extends the mixture of experts approach by allowing for model set incompleteness and dynamic learning of combination weights. A dimension reduction step is introduced using a sequential...
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identifies the behavioral response to rank incentives (i.e., the incentives stemming from an inherent preference for high rank …). We find that rank incentives not only boost performance in the related assignment, but also increase the average grade …: rank incentives make students engage more in peer interactions, which lead them to perform significantly better across the …
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incentives to implement such a trigger? We construct a theoretical model of a bank that is financed with debt and equity, and a …. However, we show that the board may implement a contract with insufficient incentives to communicate a warning, as refinancing …
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