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is evaluated through various simulation exercises. It generates satisfactory in-sample and out-of-sample predictions for …
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rate, and primary expenditure, showing the expanded model's policy simulation capabilities. The next steps for developing …
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. We utilize a combined empirical approach consisting of an event study in Step 1 and a simulation model in Step 2. The … differential. The simulation computes with a rolling-window methodology the daily cost and benefits of reverse factoring from 2010 …
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Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences about unknown ones. In Bayesian forecasting, one simply takes a subset of...
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