E37 - Forecasting and Simulation: Models and Applications
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Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data
This paper introduces new weighting schemes for model averaging when one is interested in combining discrete forecasts from competing Markov-switching models. In particular, we extend two existing classes of combination schemes – Bayesian (static) model averaging and dynamic model averaging – so as to explicitly reflect the objective of forecasting a discrete outcome.