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Bayesian estimation and model selection in the generalised stochastic unit root model

Fuyu Yang and Roberto Leon-Gonzalez

No 2010-006, SFB 649 Discussion Papers from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk

Abstract: 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, inflation and exchange rates.

Keywords: Stochastic Unit Root; MCMC; Bayesian (search for similar items in EconPapers)
JEL-codes: C11 C32 (search for similar items in EconPapers)
Date: 2010
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Journal Article: Bayesian Estimation and Model Selection in the Generalized Stochastic Unit Root Model (2010) Downloads
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