Author/Authors
ARAS, Serkan Dokuz Eylül Üniversitesi - İktisadi ve İdari Bilimler Fakültesi - Ekonometri Bölümü, Turkey , GÜLAY, Emrah Dokuz Eylül Üniversitesi - İktisadi ve İdari Bilimler Fakültesi - Ekonometri Bölümü, Turkey
Title Of Article
Fuzzy Logic Based Econometric Modelling: Money Demand-Evidence From Turkey
شماره ركورد
44288
Abstract
At the present day, we investigate literature about Money demand, we can see that cointegration techniques are used in most of studies. Money demand econometric modelling techniques are used by a great number of researchers. Mostly, cointegration techniques are being used as estimating methods for any money demand function.Cointegration techniques which were proposed by Engle-Granger (1987) and Johansen-Juselius (1990) have been used for modelling countries’ money demand function by researchers. In stage of application of monetary policy, when assessment of policy stance as well as monetary policy decisions depend on the relationship between money and the other macroeconomic variables, different methods which allows for different functional relations are being important. The purpose of this study is proposing an alternative method, instead of econometric modelling methods which have been used widely in literature. Thus, in this study, cointegration test which was proposed by Engle-Granger (1987) and fuzzy Takagi-Sugeno method are used to estimate Turkey’s money demand function and two methods are compared and consequently,the results are interpreted.
From Page
349
NaturalLanguageKeyword
Econometric modelling , fuzzy modelling , money demand , takagi , sugeno , fuzzy c , means clustering
JournalTitle
Ege Academic Review (EAR)
To Page
359
JournalTitle
Ege Academic Review (EAR)
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