Maurice Peat (Discipline of Finance, University of Sydney) Max Stevenson (Discipline of Finance, University of Sydney)
Abstract
Cyclical asymmetry has been recognised as a nonlinear phenomenonin recent studies examining unemployment rate time series. In this paper we use a number of established and new tests for identifying nonlinearities of the bilinear (BL), exponential autoregressive (EXPAR), smooth transition autoregressive (STAR), and self-exciting threshold autoregressive (SETAR) types as they occur in time series of the seasonally differenced logarithm of monthly Australian aggregate and regional unemployment rates. After identifying nonlinearity of a particular form within a given time series, the appropriate model is fitted and representations from the model analysed for their cyclical behaviour.
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Publisher Info
Paper provided by School of Finance and Economics, University of Technology, Sydney in its series Working Paper Series with number
37.
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