IDEAS home Printed from https://ideas.repec.org/a/eee/jmacro/v4y1982i4p469-475.html
   My bibliography  Save this article

A new method of evaluating the accuracy of economic forecasts

Author

Listed:
  • Cicarelli, James

Abstract

No abstract is available for this item.

Suggested Citation

  • Cicarelli, James, 1982. "A new method of evaluating the accuracy of economic forecasts," Journal of Macroeconomics, Elsevier, vol. 4(4), pages 469-475.
    • Handle: RePEc:eee:jmacro:v:4:y:1982:i:4:p:469-475
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0164-0704(82)90065-9
    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. Prem P. Talwar & Edward J. Chambers, 1993. "Forecasting Provincial Business Indicator Variables and Forecast Evaluation," Urban Studies, Urban Studies Journal Limited, vol. 30(10), pages 1763-1773, December.
    2. Blaskowitz, Oliver & Herwartz, Helmut, 2014. "Testing the value of directional forecasts in the presence of serial correlation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 30-42.
    3. Thury, Gerhard & Witt, Stephen F., 1998. "Forecasting industrial production using structural time series models," Omega, Elsevier, vol. 26(6), pages 751-767, December.
    4. Thomas Wenzel, 2001. "Hits-and-misses for the evaluation and combination of forecasts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 759-773.
    5. Adhikari, Arun & Fannin, J. Matthew, 2013. "Modeling the Louisiana Local Government Fiscal Module in a Disequilibrium Environment: A Modified COMPAS Model Approach," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 43(2).
    6. Wenzel, Thomas, 2000. "Hits-and-misses for the evaluation and combination of forecasts," Technical Reports 2000,26, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    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:jmacro:v:4:y:1982:i:4:p:469-475. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622617 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.