This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Seasonal Adjustment

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Svend Hylleberg () (Department of Economics, University of Aarhus, Denmark)

Additional information is available for the following registered author(s):

Abstract

The main objective behind the production of seasonally adjusted time series is to give an easy access to a common time series data set purged of what is considered seasonal noise. Although the application of o¢ cially seasonally adjusted data may have the advantage of being cost saving it may also imply a less e¢ cient use of the information available, and one may apply a distorted set of data. Hence, in many cases, there may be a need for treating seasonality as an integrated part of an econometric analysis. In this article we present several di¤erent ways to integrate the seasonal adjustment into the econometric analysis in addition to applying data adjusted by the two most popular adjustment methods.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: ftp://ftp.econ.au.dk/afn/wp/06/wp06_04.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by School of Economics and Management, University of Aarhus in its series Economics Working Papers with number 2006-04.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 29
Date of creation: 22 Feb 2006
Date of revision:
Handle: RePEc:aah:aarhec:2006-04

Contact details of provider:
Web page: http://www.econ.au.dk/afn/

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords: Seasonality;

Other versions of this item:

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Robert F. Engle & Svend Hylleberg, 1996. "Common Seasonal Features: Global Unemployment," University of California at San Diego, Economics Working Paper Series 96-32, Department of Economics, UC San Diego. [Downloadable!]
    Other versions:
  2. Ghysels, E., 1993. "Seasonal Adjustment and Other Data Transformations," Cahiers de recherche 9322, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    Other versions:
  3. Brendstrup, Bjarne & Hylleberg, Svend & Nielsen, Morten Rregaard & Skipper, Lars & Stentoft, Lars, 2004. "Seasonality In Economic Models," Macroeconomic Dynamics, Cambridge University Press, vol. 8(03), pages 362-394, June. [Downloadable!]
  4. Canova, Fabio & Hansen, Bruce E, 1995. "Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 237-52, July.
  5. repec:cup:macdyn:v:6:y:2002:i:3:p:337-56 is not listed on IDEAS
  6. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 369-80, October.
    Other versions:
  7. Koop, Gary & Dijk, Herman K. Van, 2000. "Testing for integration using evolving trend and seasonals models: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 97(2), pages 261-291, August. [Downloadable!] (restricted)
    Other versions:
  8. Hylleberg, Svend, 1995. "Tests for seasonal unit roots general to specific or specific to general?," Journal of Econometrics, Elsevier, vol. 69(1), pages 5-25, September. [Downloadable!] (restricted)
    Other versions:
  9. Johansen, S. & Schaumburg, E., 1997. "Likelihood Analysis of Seasonal Cointegration," Economics Working Papers eco97/16, European University Institute.
    Other versions:
  10. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-60, Oct.-Dec.. [Downloadable!] (restricted)
    Other versions:
  11. Engle, Robert F, 1974. "Band Spectrum Regression," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 1-11, February. [Downloadable!] (restricted)
    Other versions:
  12. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October. [Downloadable!] (restricted)
  13. Cubadda, Gianluca, 2001. " Complex Reduced Rank Models for Seasonally Cointegrated Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 497-511, September. [Downloadable!] (restricted)
    Other versions:
  14. Miron, Jeffrey A & Zeldes, Stephen P, 1988. "Seasonality, Cost Shocks, and the Production Smoothing Models of Inventories," Econometrica, Econometric Society, vol. 56(4), pages 877-908, July. [Downloadable!] (restricted)
    Other versions:
  15. Hylleberg, S. & Pagan, A. R., 1997. "Seasonal integration and the evolving seasonals model," International Journal of Forecasting, Elsevier, vol. 13(3), pages 329-340, September. [Downloadable!] (restricted)
    Other versions:
  16. Mark Gersovitz & James G. MacKinnon, 1977. "Seasonality in Regression: An Application of Smoothness Priors," Working Papers 257, Queen's University, Department of Economics. [Downloadable!]
  17. Braun, R. Anton & Evans, Charles L., 1995. "Seasonality and equilibrium business cycle theories," Journal of Economic Dynamics and Control, Elsevier, vol. 19(3), pages 503-531, April. [Downloadable!] (restricted)
    Other versions:
  18. Boswijk, H Peter & Franses, Philip Hans, 1995. "Periodic Cointegration: Representation and Inference," The Review of Economics and Statistics, MIT Press, vol. 77(3), pages 436-54, August. [Downloadable!] (restricted)
  19. Jeffrey A. Miron, 1990. "The Economics of Seasonal Cycles," NBER Working Papers 3522, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  20. Wells, John M., 1997. "Business Cycles, Seasonal Cycles, and Common Trends," Journal of Macroeconomics, Elsevier, vol. 19(3), pages 443-469, July. [Downloadable!] (restricted)
  21. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March. [Downloadable!] (restricted)
  22. Bunzel, Henning & Hylleberg, Svend, 1982. "Seasonality in dynamic regression models : A comparative study of finite sample properties of various regression estimators including band spectrum regression," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 345-366, August. [Downloadable!] (restricted)
  23. Taylor, A. M. Robert, 2005. "Variance ratio tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 124(1), pages 33-54, January. [Downloadable!] (restricted)
  24. Ghysels, E., 1986. "A Study Towards a Dynamic Theory of Seasonality for Economic Time Series," Cahiers de recherche 8612, Universite de Montreal, Departement de sciences economiques.
  25. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238. [Downloadable!] (restricted)
    Other versions:
  26. Busetti, Fabio & Harvey, Andrew, 2003. "Seasonality Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 420-36, July.
  27. Engle, R.F. & Granger, C.W.J. & Hylleberg, S. & Lee, H.S., 1990. "Seasonal Cointegration: The Japanese Consumption Function," Economics Working Papers 1990-10, School of Economics and Management, University of Aarhus.
  28. Osborn, Denise R, 1988. "Seasonality and Habit Persistence in a Life Cycle Model of Consumptio n," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(4), pages 255-66, October-D. [Downloadable!] (restricted)
  29. Josu Artech & Peter M Robinson, 1998. "Semiparametric Inference in Seasonal and Cyclical Long Memory Processes - (Now published in Journal of Time Series Analysis, 21 (2000), pp.1-25.)," STICERD - Econometrics Paper Series /1998/359, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
  30. Engle, Robert F, 1980. "Exact Maximum Likelihood Methods for Dynamic Regressions and Band Spectrum Regressions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 391-407, June. [Downloadable!] (restricted)
  31. Hylleberg, Svend, 1977. "A comparative study of finite sample properties of band spectrum regression estimators," Journal of Econometrics, Elsevier, vol. 5(2), pages 167-182, March. [Downloadable!] (restricted)
  32. Lee, Hahn Shik, 1992. "Maximum likelihood inference on cointegration and seasonal cointegration," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 1-47. [Downloadable!] (restricted)
  33. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328. [Downloadable!] (restricted)
    Other versions:
  34. Cubadda, Gianluca & Savio, Giovanni & Zelli, Roberto, 2002. "Seasonality, Productivity Shocks, And Sectoral Comovements In A Real Business Cycle Model For Italy," Macroeconomic Dynamics, Cambridge University Press, vol. 6(03), pages 337-356, June. [Downloadable!]
  35. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178. [Downloadable!] (restricted)
    Other versions:
  36. Harvey, Andrew & Scott, Andrew, 1994. "Seasonality in Dynamic Regression Models," Economic Journal, Royal Economic Society, vol. 104(427), pages 1324-45, November. [Downloadable!] (restricted)
    Other versions:
  37. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 393-95, October.
  38. Hannan, E J & Terrell, R D & Tuckwell, N E, 1970. "The Seasonal Adjustment of Economic Time Series," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 11(1), pages 24-52, February. [Downloadable!] (restricted)
  39. Engle, R. F. & Granger, C. W. J. & Hallman, J. J., 1989. "Merging short-and long-run forecasts : An application of seasonal cointegration to monthly electricity sales forecasting," Journal of Econometrics, Elsevier, vol. 40(1), pages 45-62, January. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? All RePEc services are meant to be be free forever, as they are all run by volunteers.

This page was last updated on 2009-11-6.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.