Reconsideration of the Markov Chain Evidence on Unemployment Rate Asymmetry
Using 15 years worth of additional data, a study is carried out to explore the extent to which the results in Rothman (1991) still hold. The analysis shows that such a comparison is very much dependent on whether: (i) 1-quarter differences or 4-quarter differences are used to construct the underlying state-indicator sequence; and (ii) the asymptotic distribution of the underlying test statistics is used for inference. The considerably higher staying probabilities obtained with the smoother 4-quarter differences argue in favor of their use in addressing the possible asymmetry of the business cycle, as opposed to higher-frequency fluctuations. Also, Monte Carlo simulations suggest the asymptotic p-values for the Markov chain tests are biased.
Volume (Year): 12 (2008)
Issue (Month): 3 (September)
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