IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v14y1982i11p1469-1478.html
   My bibliography  Save this article

Estimation of Input-Output Coefficients by Means of Employment Data

Author

Listed:
  • R C Hinojosa

    (School of Urban Planning and Landscape Architecture, Michigan State University, East Lansing, MI 48824, USA)

  • B W Pigozzi

    (Department of Geography, Michigan State University, East Lansing, MI 48824, USA)

Abstract

A new procedure is presented for estimating input-output tables with limited survey data. Its significance lies in two areas: it demonstrates the efficacy of adjusting biproportionally the Leontief inverse rather than the matrix of technical coefficients and it shows the potential of utilizing independently gathered, less expensive, employment data in the column constraint. This procedure is tested by use of Washington input-output tables; the results compare favorably with conventional RAS adjustments.

Suggested Citation

  • R C Hinojosa & B W Pigozzi, 1982. "Estimation of Input-Output Coefficients by Means of Employment Data," Environment and Planning A, , vol. 14(11), pages 1469-1478, November.
  • Handle: RePEc:sae:envira:v:14:y:1982:i:11:p:1469-1478
    DOI: 10.1068/a141469
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a141469
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a141469?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:envira:v:14:y:1982:i:11:p:1469-1478. 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.