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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

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Publicly Funded

No
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Average
Influence
Top 10%
Popularity
Top 10%

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Journal Issue

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
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OpenCitations Citation Count
24

Source

Communications in Nonlinear Science and Numerical Simulation

Volume

15

Issue

4

Start Page

979

End Page

986
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Citations

CrossRef : 13

Scopus : 30

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Mendeley Readers : 8

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