IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v8y1992i3p329-338.html
   My bibliography  Save this article

Forecasting US population totals with the Box-Jenkins approach

Author

Listed:
  • Pflaumer, Peter

Abstract

No abstract is available for this item.

Suggested Citation

  • Pflaumer, Peter, 1992. "Forecasting US population totals with the Box-Jenkins approach," International Journal of Forecasting, Elsevier, vol. 8(3), pages 329-338, November.
  • Handle: RePEc:eee:intfor:v:8:y:1992:i:3:p:329-338
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0169-2070(92)90051-A
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jack Baker & Adelamar Alcantara & Xiaomin Ruan & Kendra Watkins & Srini Vasan, 2013. "A Comparative Evaluation of Error and Bias in Census Tract-Level Age/Sex-Specific Population Estimates: Component I (Net-Migration) vs Component III (Hamilton–Perry)," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 919-942, December.
    2. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    3. D. Bauer & G. Feichtinger & W. Lutz & W.C. Sanderson, 1999. "Variances of Population Projections: Comparison of Two Approaches," Working Papers ir99063, International Institute for Applied Systems Analysis.
    4. Dempwolff, Nelly & Schulze, Peter M., 2009. "ARIMA: Bevölkerungsprognosen für Deutschland und Rheinland-Pfalz," Arbeitspapiere des Instituts für Statistik und Ökonometrie 43, Johannes Gutenberg-Universität Mainz, Institut für Statistik und Ökonometrie.
    5. Thomas M. Fullerton JR., 2001. "Specification of a Borderplex Econometric Forecasting Model," International Regional Science Review, , vol. 24(2), pages 245-260, April.
    6. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    7. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:8:y:1992:i:3:p:329-338. See general 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.