Recent papers by Chen et al (2009, 2010) suggest that exchange rates have predictive power over future commodity price movements. We use a Vector Error-Correction model to test this hypothesis using Australian data. We find substantial evidence of in-sample forecasting power but are unable to...

The cross-section and time series model used in this study yielded a number of important estimates for OJ and GJ demand. The own- and cross-price elasticities were, in general, similar to those found in past studies. The dummy variable estimates to control for city size, seasonality and other...

This research concentrates on using neural networks in the modelling and prediction of macroeconomic variables in specific. Macroeconomic predictors are particularly interested in neural networks because of their capacity to predict any linear or non-linear connection with a decent degree of...

This paper documents the function and use of the Gretl function package VCwrapper.pdf that implements the VC method for estimating time-varying coefficients in linear models as described in Schlicht (2021). It builds on the VCC program by Schlicht (2021a), is easy to use and highly configurable....