Bayesian Unit Root Testing: The Effect Of Choice Of Prior On Test Outcomes
Abstract
A Monte Carlo experiment is used to examine the size and power properties of alternative Bayesian tests for unit roots. Four different prior distributions for the root that is potentially unity – a uniform prior and priors attributable to Jeffreys, Lubrano, and Berger and Yang – are used in conjunction with two testing procedures: a credible interval test and a Bayes factor test. Two extensions are also considered: a test based on model averaging with different priors and a test with a hierarchical prior for a hyperparameter. The tests are applied to both trending and non-trending series. Our results favor the use of a prior suggested by Lubrano. Outcomes from applying the tests to some Australian macroeconomic time series are presented.Download Info
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Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 1152.Length: 36 pages
Date of creation: 2012
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Handle: RePEc:mlb:wpaper:1152
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Keywords: N/A;This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-09 (All new papers)
- NEP-ECM-2012-09-09 (Econometrics)
- NEP-ETS-2012-09-09 (Econometric Time Series)
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