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We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches in regime (e.g. Markov switches in regime or structural breaks). An important aspect of our approach is that we allow both the cointegrating vectors and the number of...
Persistent link: https://www.econbiz.de/10009320949
This paper uses Vector Autoregressions that allow for nonstationarity and cointegration to investigate the dynamic …
Persistent link: https://www.econbiz.de/10010551746
We employ parametric and non-parametric cointegration to investigate the extent of integration between African stock … cointegration approaches confirm the latter through recursive estimation. The implication is that global market movements may have …
Persistent link: https://www.econbiz.de/10008725690
find evidence in favour of cointegration through the application of the standard Johansen methodology. Employing the Trace … cointegrated. We also consider the Breitung (2002) and Breitung and Taylor (2003) nonparametric cointegration test procedures that …
Persistent link: https://www.econbiz.de/10008498047
markets. By employing parametric and nonparametric cointegration procedures, we show that the point estimates of the …
Persistent link: https://www.econbiz.de/10008469819
. After testing for unit roots that allow for a structural break, we employ parametric tests for cointegration: based on … identified characterised by whether or not imports and exports are cointegrated. The regime of non-cointegration runs until the … late 1990s and the second regime of cointegration is present after that. This latter regime coincides with the …
Persistent link: https://www.econbiz.de/10005091091
of the filter for signal extraction, trend prediction and cointegration estimation for univariate and bivariate series …
Persistent link: https://www.econbiz.de/10005091110
Autoregressive models) for Vector Error Correction models where there are many possible restrictions on the cointegration space. We …
Persistent link: https://www.econbiz.de/10008487518
This paper develops a wavelet (spectral) approach to estimate the parameters of a linear regression model where the regressand and the regressors are persistent processes and contain a measurement error. We propose a wavelet filtering approach which does not require instruments and yields...
Persistent link: https://www.econbiz.de/10008487529