Abstract In recent years interest has been growing in testing for (non)linearity in eco- nomic time series. Several tests are available in literature, some of them are designed to distinguish linearity from a well specified parametric nonlinear model, while others have been developed without a parametric nonlinear alternative in mind. In this paper we re- view the issue of testing for (non)linearity and examine, via Monte Carlo experiments, the power and size properties of the major linearity tests applied to different nonlinear time series models.
Testing for (non)linearity in economic time series: a Monte Carlo comparison
BISAGLIA, LUISA;
2014
Abstract
Abstract In recent years interest has been growing in testing for (non)linearity in eco- nomic time series. Several tests are available in literature, some of them are designed to distinguish linearity from a well specified parametric nonlinear model, while others have been developed without a parametric nonlinear alternative in mind. In this paper we re- view the issue of testing for (non)linearity and examine, via Monte Carlo experiments, the power and size properties of the major linearity tests applied to different nonlinear time series models.File in questo prodotto:
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