An integrated analysis of turkish inflation
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In this paper, the authors investigated the inflation process in Turkey utilizing the multivariate cointegration model that is based on the joint analysis of long-run and short-run behavior.Abstract:
The inflation process in Turkey is investigated utilizing the multivariate cointegration model that is based on the joint analysis of long-run and short-run behavior. Excess demand in each sector--monetary, government, international and labor--as measured by the deviation from the long-run equilibrium is allowed to potentially effect the inflation rate. Excess demand in the government sector is found to be the main determinant of the Turkish inflation rate. Thus, a rate policy implication is that inflation could be reduced rapidly by eliminating the fiscal deficit. Copyright 1995 by Blackwell Publishing Ltdread more
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Modelling UK inflation, 1875–1991
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The relationship between inflation and the budget deficit in Turkey
TL;DR: In this paper, the empirical relationship between inflation and the budget deficit for the Turkish economy was analyzed by a multivariate cointegration analysis, which showed that the scaled budget deficit significantly affects inflation in Turkey.
Journal ArticleDOI
The Relationship Between Inflation and the Budget Deficit in Turkey
TL;DR: In this article, the empirical relationship between inflation and the budget deficit for the Turkish economy was analyzed by a multivariate cointegration analysis, which showed that the scaled budget deficit significantly affects inflation in Turkey.
References
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Journal ArticleDOI
Co-integration and Error Correction: Representation, Estimation and Testing
TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.
Journal ArticleDOI
Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
TL;DR: In this article, a new class of stochastic processes called autoregressive conditional heteroscedastic (ARCH) processes are introduced, which are mean zero, serially uncorrelated processes with nonconstant variances conditional on the past, but constant unconditional variances.
Journal ArticleDOI
Statistical analysis of cointegration vectors
TL;DR: In this paper, the authors consider a nonstationary vector autoregressive process which is integrated of order 1, and generated by i.i.d. Gaussian errors, and derive the maximum likelihood estimator of the space of cointegration vectors and the likelihood ratio test of the hypothesis that it has a given number of dimensions.
Journal ArticleDOI
Maximum likelihood estimation and inference on cointegration — with applications to the demand for money
Søren Johansen,Katarina Juselius +1 more
TL;DR: In this paper, the estimation and testing of long-run relations in economic modeling are addressed, starting with a vector autoregressive (VAR) model, the hypothesis of cointegration is formulated as a hypothesis of reduced rank of the long run impact matrix.
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