[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/bes/jnlbes/v10y1992i4p391-400.html
   My bibliography  Save this article

A Comparative Study of Alternative Methods of Quantifying Qualitative Survey Responses Using NAPM Data

Author

Listed:
  • Dasgupta, Susmita
  • Lahiri, Kajal
Abstract
This article examines the effectiveness of a subjective probability approach to quantify three-category qualitative responses from expectations surveys. Since one cannot make a judgment on the validity of estimated expectations by comparing them with ex post outcomes, the authors use the National Association of Purchasing Managers survey data on materials buying prices and compare them with the Producer Price Index for intermediate materials and components for manufacturing. The authors experimented with normal, logistic, and scaled-t distributions and found that the approach could explain approximately 60 percent of the variation in the monthly series. Marginal improvement in the explanatory power of the procedure was noted.when the imperceptible parameter was allowed to be asymmetric and variable over time.

Suggested Citation

  • Dasgupta, Susmita & Lahiri, Kajal, 1992. "A Comparative Study of Alternative Methods of Quantifying Qualitative Survey Responses Using NAPM Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 391-400, October.
    • Handle: RePEc:bes:jnlbes:v:10:y:1992:i:4:p:391-400
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:bes:jnlbes:v:10:y:1992:i:4:p:391-400. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main .

    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.