IDEAS home Printed from https://ideas.repec.org/p/ags/umaesp/13890.html
   My bibliography  Save this paper

Quarterly Econometric Model And Forecasts Of The Minnesota And U.S. Iron Mining Industry

Author

Listed:
  • Lyche, Harald C.
  • Maki, Wilbur R.

Abstract

The Report projects quarterly production and stock levels for the Minnesota and U.S. iron mining industry to the year 2000. Projections of Minnesota's iron industry employment are subsequently derived from the production forecasts. Ordinary least squares regression techniques are used to analyze the seasonality patterns that existed between 1955 and 1978. The regression equations, based on the quarterly data, were calibrated so they could be used to seasonalize the annual iron ore consumption, production and import projections developed by the U.S. Bureau of Mines. Alternate industry forecast series are presented to facilitate comparison with the yearly baseline projection series.

Suggested Citation

  • Lyche, Harald C. & Maki, Wilbur R., 1979. "Quarterly Econometric Model And Forecasts Of The Minnesota And U.S. Iron Mining Industry," Staff Papers 13890, University of Minnesota, Department of Applied Economics.
  • Handle: RePEc:ags:umaesp:13890
    DOI: 10.22004/ag.econ.13890
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/13890/files/p79-41.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.13890?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
    ---><---

    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:ags:umaesp:13890. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/daumnus.html .

    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.