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Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Gary Koop (University of Edinburgh)
Herman K. van Dijk () (Erasmus University Rotterdam)
Henk Hoek (Erasmus University Rotterdam)
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registered author(s):
In this paper, we make use of state space models to investigate the presence of stochastic trends in economic time series. A model is specified where such a trend can enter either in the autoregressive representation or in a separate state equation. Tests based on the former are analogous to Dickey-Fuller tests of unit roots, while the latter are analogous to KPSS tests of trend-stationarity. We use Bayesian methods to survey the properties of the likelihood function in such models and to calculate posterior odds ratios comparing models with and without stochastic trends. In addition, we extend these ideas to the problem of testing for integration at seasonal frequencies and show how techniques can be used to carry out Bayesian variants of HEGY test or the Canova-Hansen test.
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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number
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Date of creation: 08 Aug 1997Date of revision:
Handle: RePEc:dgr:uvatin:19970078Contact details of provider: Web page: http://www.tinbergen.nl/
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Keywords: State space models Bayes Factor Gibbs sampler unit root seasonality Other versions of this item:
Article Paper Gary Koop & Herman K. van Dijk, 1999.
"Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach ,"
Tinbergen Institute Discussion Papers
99-072/4, Tinbergen Institute.
[Downloadable!] G. Koop & H.K. van Dijk, 1999.
"Testing for integration using evolving trend and seasonal models A Bayesian approach ,"
Econometric Institute Report
163, Erasmus University Rotterdam, Econometric Institute.
[Downloadable!] Van Dijk, H.K. & Koop, G., 1999.
"Testing for Integration Using Evolving Trend and Seasonals Models : A Bayesian Approach ,"
Papers
9934/a, Erasmus University of Rotterdam - Econometric Institute.
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
L. Bauwens & C.S. Bos & H.K. van Dijk, 1999.
"Adaptive Polar Sampling with an application to a Bayes measure of Value-at-Risk ,"
Econometric Institute Report
167, Erasmus University Rotterdam, Econometric Institute.
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Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999.
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Tinbergen Institute Discussion Papers
99-082/4, Tinbergen Institute.
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Bos, C.S. & Mahieu, R.J. & van Dijk, H.K., 1999.
"Daily Exchange Rate Behaviour and Hedging of Currency Risk ,"
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"A Bayesian Analysis of the PPP Puzzle using an Unobserved Components Model ,"
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"On the variation of hedging decisions in daily currency risk management ,"
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206, Erasmus University Rotterdam, Econometric Institute.
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Other versions: Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006.
"On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling ,"
Tinbergen Institute Discussion Papers
06-076/4, Tinbergen Institute.
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