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forecast models. This process is intended to serve as a general guideline for energy economists and practitioners who need to … apply sophisticated forecast models. …
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This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...
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