Working Papers 2002 – Abstracts
Nonlinear Autoregresssive Leading Indicator Models of Output in G-7
Countries
Heather M. Anderson, George Athanasopoulos and Farshid Vahid
This paper studies linear and nonlinear autoregressive leading indicator
models of business cycles in G7 countries. The models use the spread between
short-term and long-term interest rates as leading indicators for GDP,
and their success in capturing business cycles is gauged by non-parametric
shape tests, and their ability to predict the probability of recession.
We find that bivariate nonlinear models of output and the interest rate
spread can successfully capture the shape of the business cycle in cases
where linear models fail. Also, our nonlinear leading indicator models
for USA, Canada and the UK outperform other models of GDP with respect
to predicting the probability of recession.
Keywords: Business Cycles, Leading Indicators, Model Evaluation,
Nonlinear Models, Yield Spreads.
Next Abstract
