An analysis of the indicator saturation estimator as a robust regression
By Søren Johansen, Bent Nielsen. 2008
205 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/18e1e23521a79ea31198d270fa3567883515a9e3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- David F. Hendry
- Søren Johansen
- Jennifer L. Castle
- Jurgen A. Doornik
- F. Pretis
- Bent Nielsen
- Morten Ørregaard Nielsen
- Elias Oikarinen
In Statistics and Probability
- F. Pretis
- David F. Hendry
- Søren Johansen
- Jennifer L. Castle
- Jurgen A. Doornik
- Bent Nielsen
- Carlos Santos
- Morten Ørregaard Nielsen
Citations in the corpus
- Model selection when there are multiple breaks (2012, methodology): “The theory generalizes to more, and unequal, splits, as well as dynamic models, see Johansen and Nielsen (2009).”
- An Automatic Test of Super Exogeneity (2010, background): “Importantly, Johansen and Nielsen (2008) both generalize the analysis todynamic models (possibly with unit roots) and establish that for smallα (e.g.,α ≤ 0.01), the inefficiency of conducting impulse saturation is very small despite testingT indicators: intuitively, retained impulses correspond…”
- Detecting Location Shifts during Model Selection by Step-Indicator Saturation (2015, methodology): “Johansen and Nielsen [4] establish that using small nominal significance levels α (e.”
- Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models (2016, methodology): “Expansions of the product moments (20) can be found in Johansen and Nielsen (2015a) and form the basis for the results reviewed in Sections 6, 7.”