Análisis de cambio de régimen en series de tiempo no lineales utilizando modelos TAR
AbstractIn some situations, theoreticians recommend a given predictive model for a series of financial time. However, some inappropriate behaviors in given series make such a model unsuitable. One of the reasons for this can be the non-linearity of those behaviors. A proposed model to treat these series is the TAR model (threshold autoregressive). TAR models are determined by a variable called threshold for which it mainly results to be a temporal nonlinear model. A TAR model expresses itself as a temporal series, with a lagged as a threshold variable, where d is an entire positive called retard threshold. In practice, the threshold variable is unknown, due to which an important question is how to determine it; an answer to this question is given in this paper. TAR models are illustrated by modeling Spain's Gross Domestic Product.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Universidad de Antioquia, Departamento de Economía in its journal LECTURAS DE ECONOMÍA.
Volume (Year): (2004)
Issue (Month): 61 (Julio-Diciembre)
Postal: Lecturas de Economía, Departamento de Economía, Calle 67, 53-108, Medellin 050010, Colombia.
Find related papers by JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Carlos Andrés Vasco Correa).
If references are entirely missing, you can add them using this form.