IDEAS home Printed from https://ideas.repec.org/a/sae/pubfin/v2y1974i4p432-450.html
   My bibliography  Save this article

A Tax Revenue Forecasting Model for the State of Hawaii

Author

Listed:
  • John C. Hambor

    (Social Security Administration)

  • Morris R. Norman

    (Econometrica International (Goleta, California))

  • R. Robert Russell

    (University of California (San Diego))

Abstract

This paper reports on the application of an econometric forecasting technique to a state (Hawaii) with a relatively simple revenue structure and sufficient data to permit the estimation of relationships which determine the bulk of state revenues. A thirty-equation model which determines excise, personal income, corporate income, and other state tax revenues is estimated with quarterly data and used to forecast state revenues for a single fiscal year.

Suggested Citation

  • John C. Hambor & Morris R. Norman & R. Robert Russell, 1974. "A Tax Revenue Forecasting Model for the State of Hawaii," Public Finance Review, , vol. 2(4), pages 432-450, October.
    • Handle: RePEc:sae:pubfin:v:2:y:1974:i:4:p:432-450
    DOI: 10.1177/109114217400200403
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/109114217400200403
    Download Restriction: no
    File URL: https://libkey.io/10.1177/109114217400200403?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:sae:pubfin:v:2:y:1974:i:4:p:432-450. 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: SAGE Publications (email available below). General contact details of provider: .

    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.