This paper assesses the synchronicity and nature of Australian State business cycles. To this end, I develop a time-varying parameter Panel Bayesian vector autoregression (BVAR) with a novel common stochastic volatility factor in the error structure, which is estimated in an efficient MCMC algorithm. The common stochastic volatility factor reveals that macroeconomic volatility was more pronounced during the Asian Financial Crisis as compared to the more recent Global Financial Crisis. Next, the Panel BVAR’s common, state and variable specific indicators capture several interesting economic facts. In particular, the fluctuations of the common indicator closely follow the trend line of the Organisation for Economic Co-operation and Development (OECD) composite leading indicators for Australia, making it a good proxy for nationwide business cycle fluctuations. Furthermore, despite significant co-movements of Australian States and Territory business cycles during times of economic contractions, the State indicators suggest that the average degree of synchronisation across the Australian States and Territories cycles in the 2000s is only half of that in the 1990s. Given that aggregate macroeconomic activity is determined by cumulative activity of each of the States, the results suggests that the federal government should consider granting State governments greater autonomy in handling State specific cyclical fluctuations.
- Bayesian estimation
- Australian States
- business cycles
- time-varying parameter panel BVAR
- common stochastic volatility factor