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Identification of Outliers in High Density Areas with the Use of a Quantile Regression Model

Szkutnik Tomasz ()
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Szkutnik Tomasz: University of Economics in Katowice, Faculty of Management, Department of Mathematics, Statistics and EconometricsBogucicka 3, 40-287Katowice, Poland

Folia Oeconomica Stetinensia, 2020, vol. 20, issue 2, 375-391

Abstract: Research background: The study exemplifies the issues presented in the international trade data, which can affect the efficiency of customs controls in clearance systems.

Keywords: kernel density; the Khmaladze test; quantile regression; customs gap; clearance; export; trade in goods (search for similar items in EconPapers)
JEL-codes: C21 C52 C55 F47 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:foeste:v:20:y:2020:i:2:p:375-391:n:12

DOI: 10.2478/foli-2020-0054

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