This paper develops non-linear smooth transition autoregressive (STAR) models with two additive smooth transition components to capture the business cycle characteristics of UK real consumers' expenditure and industrial production. The results indicate consumption has essentially two business cycle regimes: recession and expansion. Industrial production, however, is characterized by the three regimes of recession, normal growth and high growth. The transitions describing recovery from recession are very similar for the two variables. Stochastic simulations illustrate the dynamic responses of these models and emphasize that they are locally linear. Our results also indicate that the two-transition STAR models have some forecast advantages ov...
A Real Business Cycle model of the UK is developed to account for the behaviour of UK non-stationary...
This paper examines the usefulness of a more refined business cycle classification for monthly indus...
This paper estimates Logistic Smooth Transition Autoregressive (LSTAR) models to analyze nonlinearit...
This paper examines possible nonlinearities in growth rates of nine U.K. macroeconomic time series, ...
During the past few years investigators have found evidence indicating that various time-series repr...
This paper examines the role of the Office for National Statistics Composite Longer Leading Indicato...
textabstractThe interest in business cycle asymmetry has been steadily increasing over the last fift...
This paper examines business cycle features of UK GDP sectors with regard to trends, cycles and grow...
Writers on the business cycle often emphasize that non-linear models are needed to account for certa...
The possible nonlinearity of business cycles is an old topic in eco-nomics. In this paper, I adopt t...
This paper models the phases of the UK business cycle using GDP data with a time-varying transition ...
This paper examines the information available through leading indicators for modelling and forecasti...
This paper studies linear and nonlinear autoregressive leading indicator models of business cycles i...
In this paper, we study the industrial production index of Sweden from Jan, 2000 to latest Feb, 2010...
This paper considers the ultimate causes of post-war UK business cycles. Using an extended stochasti...
A Real Business Cycle model of the UK is developed to account for the behaviour of UK non-stationary...
This paper examines the usefulness of a more refined business cycle classification for monthly indus...
This paper estimates Logistic Smooth Transition Autoregressive (LSTAR) models to analyze nonlinearit...
This paper examines possible nonlinearities in growth rates of nine U.K. macroeconomic time series, ...
During the past few years investigators have found evidence indicating that various time-series repr...
This paper examines the role of the Office for National Statistics Composite Longer Leading Indicato...
textabstractThe interest in business cycle asymmetry has been steadily increasing over the last fift...
This paper examines business cycle features of UK GDP sectors with regard to trends, cycles and grow...
Writers on the business cycle often emphasize that non-linear models are needed to account for certa...
The possible nonlinearity of business cycles is an old topic in eco-nomics. In this paper, I adopt t...
This paper models the phases of the UK business cycle using GDP data with a time-varying transition ...
This paper examines the information available through leading indicators for modelling and forecasti...
This paper studies linear and nonlinear autoregressive leading indicator models of business cycles i...
In this paper, we study the industrial production index of Sweden from Jan, 2000 to latest Feb, 2010...
This paper considers the ultimate causes of post-war UK business cycles. Using an extended stochasti...
A Real Business Cycle model of the UK is developed to account for the behaviour of UK non-stationary...
This paper examines the usefulness of a more refined business cycle classification for monthly indus...
This paper estimates Logistic Smooth Transition Autoregressive (LSTAR) models to analyze nonlinearit...