Bayesian Estimation and Model Selection in the Generalised Stochastic Unit Root Model
We develop Bayesian techniques for estimation and model comparison in a novel Generalised Stochastic Unit Root (GSTUR) model. This allows us to investigate the presence of a deterministic time trend in economic series, while allowing the degree of persistence to change over time. In particular the model allows for shifts from stationarity I(0) to nonstationarity I(1) or vice versa. The empirical analysis demonstrates that the GSTUR model provides new insights on the properties of some macroeconomic time series such as stock market indices, in ation and ex- change rates.
|Date of creation:||Jan 2010|
|Date of revision:|
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Web page: http://sfb649.wiwi.hu-berlin.de
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