IDEAS home Printed from https://ideas.repec.org/a/wly/apsmbi/v22y2006i4p313-319.html
   My bibliography  Save this article

Measurement‐error detection: international evidence on industrial production

Author

Listed:
  • Kosei Fukuda

Abstract

The existence or non‐existence of measurement error (ME) in observed time series is examined not by hypothesis testing but by model selection using the values of information criteria of a battery of alternative models with and without ME. Whether the time series contains ME is determined as a result of model selection. This method is compared with recently proposed hypothesis‐testing method. Simulation results suggest that the performances of the proposed method are usually comparable to and sometimes better than those of the hypothesis‐testing method. The proposed method is applied to monthly time series of industrial production for fifteen developed countries. Obtained results indicate that MEs are detected for at least one and at most seven countries. Copyright © 2006 John Wiley & Sons, Ltd.

Suggested Citation

  • Kosei Fukuda, 2006. "Measurement‐error detection: international evidence on industrial production," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 22(4), pages 313-319, July.
    • Handle: RePEc:wly:apsmbi:v:22:y:2006:i:4:p:313-319
    DOI: 10.1002/asmb.617
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asmb.617
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asmb.617?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:wly:apsmbi:v:22:y:2006:i:4:p:313-319. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1526-4025 .

    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.