Modeling Inflation Series with the Parametric and Semiparametric Transition Models and Comparison of Their Forecasting Performances

Selahattin GÃœRÄ°Åž () and Engin Bekar ()
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Selahattin GÃœRÄ°Åž: Marmara Ãœniversitesi, Ä°stanbul
Engin Bekar: Erzurum Teknik Üniversitesi, Erzurum, Marmara Üniversitesi Sosyal Bilimler Enstitüsü Ekonometri Bilim Dalı Doktora Öğrencisi.

Eurasian Eononometrics, Statistics and Emprical Economics Journal, 2018, vol. 9, issue 9, 54-67

Abstract: Transition models are frequently used in the modeling of nonlinear series. Until recent years, it is seen that the parametric approach in which regime transitions are approximated with well-defined mathematical functions is often used. Over the last two years, nonparametric and semiparametric approaches have also been introduced into the transition models. In this case, the transition function is estimated in a nonparametric manner. In this study, the inflation series based on TUFE (1987 = 100) for the period January 1995 - December 2008, is also estimated via semi parametric transition model in addition to the parametric approach and their forecasting performances are compared.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eas:econst:v:9:y:2018:i:9:p:54-67

DOI: 10.17740/eas.stat.2018�V9�04

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