Asymptotic theory for iterated one-step Huber-skip estimators
Soren Johansen and
Bent Nielsen
No 11-29, Discussion Papers from University of Copenhagen. Department of Economics
Abstract:
Iterated one-step Huber-skip M-estimators are considered for regression problems. Each one-step estimator is a reweighted least squares estimators with zero/one weights determined by the initial estimator and the data. The asymptotic theory is given for iteration of such estimators using a tightness argument. The results apply to stationary as well as non-stationary regression problems.
Keywords: Huber-skip; iteration; one-step M-estimators; unit roots (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2011-11-16
New Economics Papers: this item is included in nep-ets
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Citations: View citations in EconPapers (5)
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http://www.econ.ku.dk/english/research/publications/wp/dp_2011/1129.pdf (application/pdf)
Related works:
Working Paper: Asymptotic theory for iterated one-step Huber-skip estimators (2011) 
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Persistent link: https://EconPapers.repec.org/RePEc:kud:kuiedp:1129
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