Model selection in under-specified equations facing breaks
When a model under-specifies the data generation process, model selection can improve over estimating a prior specification, especially if location shifts occur. Impulse-indicator saturation (IIS) can ‘correct’ non-constant intercepts induced by location shifts in omitted variables, which leave slop...
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Format: | Journal article |
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Elsevier
2014
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