Detecting Location Shifts during Model Selection by Step-Indicator Saturation

To capture location shifts in the context of model selection, we propose selecting significant step indicators from a saturating set added to the union of all of the candidate variables. The null retention frequency and approximate non-centrality of a selection test are derived using a ‘split-half’...

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Hlavní autoři: Jennifer L. Castle, Jurgen A. Doornik, David F. Hendry, Felix Pretis
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2015-04-01
Edice:Econometrics
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On-line přístup:http://www.mdpi.com/2225-1146/3/2/240