On Fractional Filtering Versus Conventional Filtering in Economics
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
BRONZE
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In this study, we compare the Hodrick-Prescott Filter technique with the Fractional filtering technique that has recently started to be used in various applied sciences like physics, engineering, and biology. We apply these filtering techniques to quarterly GDP data from Turkey for the period 1988:1-2003:2. The filtered series are analyzed using Minimum Square Error (MSE) and real life evidence. In the second part of the study, we use simulated data to analyze the statistical properties of the aforementioned filtering techniques. (C) 2009 Elsevier B.V. All rights reserved.
Description
Keywords
Data Generation, Fractional Filtering, Hodrick-Prescott Filtering, Mse, Decomposition, Decomposition, Hodrick-Prescott filtering, Fractional filtering, MSE, 330, Data generation
Fields of Science
Citation
Nigmatullin, R.R., Omay, T., Baleanu, D. (2009). On fractional filtering versus conventional filtering in economics. Communications In Nonlinear Science And Numerical Simulation, 15(4), 979-986. http://dx.doi.org/10.1016/j.cnsns.2009.05.027
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
24
Source
Communications in Nonlinear Science and Numerical Simulation
Volume
15
Issue
4
Start Page
979
End Page
986
PlumX Metrics
Citations
CrossRef : 13
Scopus : 30
Captures
Mendeley Readers : 8
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