Türkiye’ de Turizm ve Ekonomik Büyüme Arasındaki İlişki İçin Bir Spektral Metod Yaklaşımı

Authors : Mesut BALIBEY, Serpil TÜRKYILMAZ

Pages : 85-96

Doi:10.18037/ausbd.92564

View : 22 | Download : 14

Publication Date : 2015-09-01

Article Type : Research Paper

Abstract :A popular topic in the econometrics and time series area is the cointegrating relationships among the components of a nonstationary time series. Engle and Granger’s least squares method and Johansen’s conditional maximum likelihood method are the most widelyused methods to determine the relationships among variables. Furthermore, the method proposed to test a unit root based on the periodogram ordinates has certain advantages over conventional tests. Periodograms can be calculated without any model specification and the exact distribution under the assumption of a unit root can be obtained. For higher order processes the distribution remains the same asymptotically. Furthermore, in recent years, many developing countries have given priority to the development of tourism industry as an important part of country’s economic growth. In this context, the tourism-led growth hypothesis has attracted a great deal of attention among economists and policy makers. So, in this study, in order to indicate advantages over conventional test of Periodogram-based Method, a possible relationship between tourism and economic growth during the period 1999:01-2010:12 in Turkey is examined by using Periodogram-based Method, Johansen’s Conditional Maximum Likelihood Method, Engle and Granger’s Ordinary Least Square Method.
Keywords : Unit Root, Periodogram Method, Cointegration, Economic Growth, Tourism