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Open AccessJournal ArticleDOI

The Spectral Envelope: An Application to the Decoupling Problem in Economics

TLDR
In this article, the authors introduce the technique of spectral envelope into the analysis of the decoupling problem among economies and show that the business cycles in emerging market economies are de-synchronized from cyclical movements in the advanced economies.
Abstract
In this paper we introduce the technique of spectral envelope into the analysis of the decoupling problem among economies. Decoupling refers to the phenomenon that the business cycles in emerging market economies are de-synchronized from cyclical movements in the advanced economies. The analysis shows that all the countries considered in the sample have a common cycle of approximately 42 months. The results point to a strong possibility of a common global cycle of a periodicity between 3 and 4 years.

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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

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

A Practical Guide to Wavelet Analysis.

TL;DR: In this article, a step-by-step guide to wavelet analysis is given, with examples taken from time series of the El Nino-Southern Oscillation (ENSO).
Book

Discrete-Time Signal Processing

TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.
Journal ArticleDOI

Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models

Søren Johansen
- 01 Nov 1991 - 
TL;DR: In this article, the authors derived the likelihood analysis of vector autoregressive models allowing for cointegration and showed that the asymptotic distribution of the maximum likelihood estimator of the cointegrating relations can be found by reduced rank regression and derives the likelihood ratio test of structural hypotheses about these relations.
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