Modelling Gross Domestic Product Series in Turkey

All the studies regarding time series methods are useful only in case the series in interest do not display seasonal patterns. That is why it is of great importance to take the time series properties of the series like seasonal patterns or trends into account while dealing with economic time series...

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Main Authors: Mehmet Özmen, Sera Şanlı
Format: Article
Language:English
Published: Cukurova University 2016-06-01
Series:Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Subjects:
Online Access:http://dergipark.gov.tr/cuiibfd/issue/34473/385979?publisher=cu
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author Mehmet Özmen
Sera Şanlı
author_facet Mehmet Özmen
Sera Şanlı
author_sort Mehmet Özmen
collection DOAJ
description All the studies regarding time series methods are useful only in case the series in interest do not display seasonal patterns. That is why it is of great importance to take the time series properties of the series like seasonal patterns or trends into account while dealing with economic time series data and the research on what form of seasonality exists (deterministic or stochastic) in the data in interest and thus the way of modelling seasonality is also crucial (Türe & Akdi, 2005, p.3). Considering its importance with this respect, in this application, it has been aimed to decide about which seasonal pattern quarterly GDP (Gross Domestic Product) series displays over 1998Q1-2014Q4 for Turkey by recoursing to DHF (Dickey, Hasza and Fuller) and HEGY (Hylleberg, Engle, Granger and Yoo) test procedures and it has been mainly focused on the dummy variable and trigonometric representations of deterministic seasonality.
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spelling doaj.art-0f76d9cb806a4aa58b3349ed1f1d233f2023-02-15T16:18:00ZengCukurova UniversityÇukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi1300-37472636-88892016-06-0120118720848Modelling Gross Domestic Product Series in TurkeyMehmet ÖzmenSera ŞanlıAll the studies regarding time series methods are useful only in case the series in interest do not display seasonal patterns. That is why it is of great importance to take the time series properties of the series like seasonal patterns or trends into account while dealing with economic time series data and the research on what form of seasonality exists (deterministic or stochastic) in the data in interest and thus the way of modelling seasonality is also crucial (Türe & Akdi, 2005, p.3). Considering its importance with this respect, in this application, it has been aimed to decide about which seasonal pattern quarterly GDP (Gross Domestic Product) series displays over 1998Q1-2014Q4 for Turkey by recoursing to DHF (Dickey, Hasza and Fuller) and HEGY (Hylleberg, Engle, Granger and Yoo) test procedures and it has been mainly focused on the dummy variable and trigonometric representations of deterministic seasonality.http://dergipark.gov.tr/cuiibfd/issue/34473/385979?publisher=cu: Deterministic–stochastic seasonalitydummy variable representationtrigonometric representationDHF testHEGY test
spellingShingle Mehmet Özmen
Sera Şanlı
Modelling Gross Domestic Product Series in Turkey
Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
: Deterministic–stochastic seasonality
dummy variable representation
trigonometric representation
DHF test
HEGY test
title Modelling Gross Domestic Product Series in Turkey
title_full Modelling Gross Domestic Product Series in Turkey
title_fullStr Modelling Gross Domestic Product Series in Turkey
title_full_unstemmed Modelling Gross Domestic Product Series in Turkey
title_short Modelling Gross Domestic Product Series in Turkey
title_sort modelling gross domestic product series in turkey
topic : Deterministic–stochastic seasonality
dummy variable representation
trigonometric representation
DHF test
HEGY test
url http://dergipark.gov.tr/cuiibfd/issue/34473/385979?publisher=cu
work_keys_str_mv AT mehmetozmen modellinggrossdomesticproductseriesinturkey
AT serasanlı modellinggrossdomesticproductseriesinturkey