A bivariate model that allows for both a time-varying cointegrating matrix and time-varying cointegrating rank is presented. The model addresses the issue that, in real data, the validity of a constant cointegrating relationship may be questionable. The model nests the sub-models implied by...

This paper investigates the forecasting performance of the diffusion index approach for the Australian economy, and considers the forecasting performance of the diffusion index approach relative to composite forecasts. Weighted and unweighted factor forecasts are benchmarked against composite...

This paper examines whether the disaggregation of consumer sentiment data into its sub-components improves the real-time capacity to forecast GDP and consumption. A Bayesian error correction approach augmented with the consumer sentiment index and permutations of the consumer sentiment...

This paper examines the forecasting qualities of Bayesian Model Averaging (BMA) over a set of single factor models of short-term interest rates. Using weekly and high frequency data for the one-month Eurodollar rate, BMA produces predictive likelihoods that are considerably better than the...

A forecasting model for unemployment is constructed that exploits the time-series properties of unemployment while satisfying the economic relationships specified by Okun's law and the Phillips curve. In deriving the model, we jointly consider the problem of obtaining estimates of the unobserved...

This paper implements a procedure to evaluate time-varying bank interest rate adjustments over a sample period which includes changes in industry structure, market and credit conditions and varying episodes of monetary policy. The model draws attention to the pivotal role of official rates and...

This paper provides a Bayesian approach to inference on a multi-state latent factor intensity model to manage the problem of highly analytically intractable pdfs. The sampling algorithm used to obtain posterior distributions of the model parameters includes a particle filter step and a...

This paper applies a multi-state latent factor intensity model to worker flows to obtain insights about the determinants of entry and exit rates pertaining to various labour market states. The analysis shows that one activity factor underpins the decision to move from employment and from...

This paper proposes a framework to construct indexes of activity which links two strands of the index literature – the traditional business cycle analysis and the latent variable approach. To illustrate the method, we apply the framework to Australian regional data, namely to two resource-rich...

The use of GARCH and jump models to capture asset price dynamics is ubiquitous in economics and finance literature. We show that the size of Breitung (2002) nonparametric unit root test is robust to the presence of jump and GARCH errors but not for the other standard unit root tests. The power...