We examine the size properties of tests for causality in variance in the presence of structural breaks in volatility. Extensive Monte Carlo simulations demonstrate that these tests suffer from severe size distortions when such breaks are not taken into account. Pre-testing the series for...

This paper analyses monthly values of the short-term interest rate for the US, the UK and Germany since the early 1980s in the context of possible nonlinearities and changes over time in the interest rate response to the output gap, inflation, past interest rate changes and external variables...

This paper uses logistic regression to construct a one-quarter ahead prediction model for classical business cycle regimes in the UK. The binary dependent variable is obtained by applying simple mechanical rules to date turning points in quarterly real GDP data from 1963 to 1999. Using a range...

Volatility breaks are tested and documented for 19 important monthly macroeconomic time series across the G7 countries. Across all conditional mean specifications considered, including both linear and nonlinear models with and without a structural break, volatility breaks are found to be...

This paper examines the roles of domestic and international variables in predicting classical business cycle regimes in Germany, France, Italy and the UK over the period 1970 to 2001. A range of real and financial variables are used as leading indicators in domestic models, with these variables...

This paper investigates the nature of nonlinearities in the monetary policy rule of the US Fed using the flexible approach of Hamilton (2001). We find that while there is significant evidence of nonlinearity for the period to 1979, there is little such evidence for the subsequent period....

Recent literature has uncovered evidence that the seasonal pattern in industrial production changes over the business cycle, with seasonality being less pronounced in periods of high growth than in the low growth (or recession) business cycle phase. Matas-Mir and Osborn (2002) examine this...