In this paper, we investigate the implications of the two concepts of asymmetry defined by Sichel (1993) - deepness and steepness - for first-order autoregressive processes with a Markov-switching intercept. In order to do so, we derive the two required formulas determining the coefficient of skewness of first-order autoregressive processes with a Markov-switching intercept and the coefficient of skewness of the first differences of these processes. For the special case of two states, we present the parameter restrictions leading to non-deepness and non-steepness. We show that these restrictions imply that the conclusions of Clements & Krolzig (2003) with respect to asymmetries of processes with a Markov-switching intercept are not correct. Finally, we apply the results to U.S. GDP which is found to exhibit strongly significant deepness and steepness. --
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Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
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