In this article, we consider extensions of smooth transition autoregressive (STAR) models to situations where the threshold is a function of variables that affect the separation of regimes of the time series under consideration. Our specification is motivated by the observation that unusually high/low values for an economic variable may sometimes be best thought of in relative terms. State-dependent contemporaneous-threshold STAR and logistic STAR models are introduced and discussed. These models are also used to investigate the dynamics of US short-term interest rates, where the threshold is allowed to be a function of past output growth and inflation.
State-Dependent Threshold Smooth Transition Autoregressive Models
Fabio Spagnolo
2012-01-01
Abstract
In this article, we consider extensions of smooth transition autoregressive (STAR) models to situations where the threshold is a function of variables that affect the separation of regimes of the time series under consideration. Our specification is motivated by the observation that unusually high/low values for an economic variable may sometimes be best thought of in relative terms. State-dependent contemporaneous-threshold STAR and logistic STAR models are introduced and discussed. These models are also used to investigate the dynamics of US short-term interest rates, where the threshold is allowed to be a function of past output growth and inflation.Pubblicazioni consigliate
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