EconPapers    
Economics at your fingertips  
 

Fractional seasonality: Models and Application to Economic Activity in the Euro Area

Laurent Ferrara and Dominique Guegan ()
Additional contact information
Dominique Guegan: CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

Abstract: In this paper, we recall some concepts on seasonal long memory, we review the diverse fractionally integrated seasonal time series models and we discuss their statistical properties. Then, we compare the empirical performances of those models on euro area economic data and we show that generalized long memory models offer competitive alternatives to classical SARIMA models, avoiding over-differentiation and providing a better goodness of fit.

Keywords: Fractional seasonality; long-range dependence; economic activity; generalized long memory models; economic activity. (search for similar items in EconPapers)
Date: 2006-05-10
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00185370
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Published in Conference on Seasonality, Seasonal Adjustment and their Implications for Short-Term Analysis and Forecasting, May 2006, Luxembourg. pp.137 - 153

Downloads: (external link)
https://shs.hal.science/halshs-00185370/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:halshs-00185370

Access Statistics for this paper

More papers in Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-22
Handle: RePEc:hal:cesptp:halshs-00185370