Lecture 6 Specification and Model Selection Strategies
Model Selection Strategies • According to David Hendry, a good model should be: - Data admissible -i.e., modeled and observed y should have the same properties. - Theory consistent -our model should “make sense” - Predictive valid -we should expect out-of-sample validation - Data coherent -all information should be in the model.
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