Outlier Detection, Seasonal Adjustment and Cycle Extraction in New Member States of European Union
AbstractAn econometric exercise is run to identify outliers, seasonal adjust and extract the cycle from New Member States GDPs series. Obtained results are showed with full statistics. For the NMS aggregate direct vs. indirect approach is compared.
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 Euro-American Association of Economic Development in its journal International Journal of Applied Econometrics and Quantitative Studies .
Volume (Year): 1 (2004)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://www.usc.es/economet/eaa.htm
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Buono, Dario & Alpay, Kocak, 2010. "Backward recalculation of seasonal series affected by economic crisis: a Model-Based-Link method for the case of Turkish GDP," MPRA Paper 40092, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (M. Carmen Guisan).
If references are entirely missing, you can add them using this form.