Model selection when there are multiple breaks
نویسندگان
چکیده
منابع مشابه
Model Selection when there are Multiple Breaks
We consider model selection facing uncertainty over the choice of variables and the occurrence and timing of multiple location shifts. General-to-simple selection is extended by adding an impulse indicator for every observation to the set of candidate regressors: see Johansen and Nielsen (2009). We apply that approach to a fat-tailed distribution, and to processes with breaks: Monte Carlo exper...
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ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2012
ISSN: 0304-4076
DOI: 10.1016/j.jeconom.2012.01.026