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Uniform Consistency of Marked and Weighted Empirical Distributions of Residuals

Vanessa Berenguer-Rico, Soren Johansen and Bent Nielsen
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Vanessa Berenguer-Rico: Department of Economics, University of Oxford
Bent Nielsen: Department of Economics, University of Oxford

No 19-09, Discussion Papers from University of Copenhagen. Department of Economics

Abstract: A uniform weak consistency theory is presented for the marked and weighted empirical distribution function of residuals. New and weaker sufficient conditions for uniform consistency are derived. The theory allows for a wide variety of regressors and error distributions. We apply the theory to 1-step Huber-skip estimators. These estimators describe the widespread practice of removing outlying observations from an intial estimation of the model of interest and updating the estimation in a second step by applying least squares to the selected observations. Two results are presented. First, we give new and weaker conditions for consistency of the estimators. Second, we analyze the gauge, which is the rate of false detection of outliers, and which can be used to decide the cut-off in the rule for selecting outliers.

Keywords: Huber skip; Asymptotic theory; Empirical processes; Gauge; Marked and Weighted Empirical processes; Non-stationarity; Robust Statistics; Stationarity (search for similar items in EconPapers)
JEL-codes: C01 C22 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2019-06-07
New Economics Papers: this item is included in nep-ore
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Citations: View citations in EconPapers (3)

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Related works:
Working Paper: Uniform Consistency of Marked and Weighted Empirical Distributions of Residuals (2019) Downloads
Working Paper: Uniform Consistency of Marked and Weighted Empirical Distributions of Residuals (2019) Downloads
Working Paper: Uniform Consistency of Marked and Weighted Empirical Distributions of Residuals (2019) Downloads
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