Advanced Search
MyIDEAS: Login to save this paper or follow this series

Underlying dimensions of knowledge assessment : factor analysis of the knowledge assessment methodology data

Contents:

Author Info

  • Chen, Derek H. C.
  • Gawande, Kishore

Abstract

The Knowledge Assessment Methodology (KAM) database measures variables that may be used to assess the readiness of countries for the knowledge economy and has many policy uses. Formal analysis using KAM data is faced with the problem of which variables to choose and why. Rather than make these decisions in an ad hoc manner, the authors recommend factor-analytic methods to distill the information contained in the many KAM variables into a smaller set of"factors."Their main objective is to quantify the factors for each country, and to do so in a way that allows comparisons of the factor scores over time. The authors investigate both principal components as well as true factor analytic methods, and emphasize simple structures that help provide a clear political-economic meaning of the factors, but also allow comparisons over time.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2007/04/19/000016406_20070419124156/Rendered/PDF/wps4216.pdf
Download Restriction: no

Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 4216.

as in new window
Length:
Date of creation: 01 Apr 2007
Date of revision:
Handle: RePEc:wbk:wbrwps:4216

Contact details of provider:
Postal: 1818 H Street, N.W., Washington, DC 20433
Phone: (202) 477-1234
Email:
Web page: http://www.worldbank.org/
More information through EDIRC

Related research

Keywords: Statistical&Mathematical Sciences; Econometrics; Economic Theory&Research; Education for Development (superceded); Innovation;

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Kaufmann, Daniel & Kraay, Aart & Zoido-Lobaton, Pablo, 1999. "Aggregating governance indicators," Policy Research Working Paper Series 2195, The World Bank.
  2. Chen, Derek H. C. & Dahlman, Carl J., 2004. "Knowledge and development : a cross-section approach," Policy Research Working Paper Series 3366, The World Bank.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:4216. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Roula I. Yazigi).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.