IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Measurement of Human Recognition: A Methodology with Empirical Applications in India and Kenya

Listed author(s):
  • Tony Castleman


    (Institute for International Economic Policy, George Washington University)

This paper develops and applies a methodology for measuring human recognition, which is defined as the acknowledgement provided to an individual by other individuals, groups, or organizations that he is of inherent value with intrinsic qualities in common with the recognizer. A framework is developed that organizes the sources of human recognition into various domains of an individual's life. The framework is used to develop an index of indicators that measures human recognition received in each of the domains and combines these domain-specific measures into a single overall measure of human recognition received. Two empirical applications of the index are presented with cross-sectional survey data from India and Kenya. Exploratory factor analysis is used to generate measures of human recognition with the index, and the resulting measures are used in multivariate regression models of nutritional status. Results from both datasets provide evidence that human recognition is a significant, independent, positive determinant of nutritional status, controlling for socio-economic characteristics. The method and applications demonstrate how latent, intangible aspects of development such as human recognition can be measured and indicate that further empirical work on the determinants and effects of human recognition is both feasible and needed.

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:
Download Restriction: no

Paper provided by The George Washington University, Institute for International Economic Policy in its series Working Papers with number 2011-10.

in new window

Length: 81 pages
Date of creation: Oct 2011
Handle: RePEc:gwi:wpaper:2011-10
Contact details of provider: Web page:

More information through EDIRC

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.:

in new window

  1. Green, Francis & Weisskopf, Thomas E, 1990. "The Worker Discipline Effect: A Disaggregative Analysis," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 241-249, May.
  2. Tony Castleman, 2011. "Human Recognition among HIV-Infected Adults: Empirical Evidence from a Randomized Controlled Trial in Kenya," Working Papers 2011-11, The George Washington University, Institute for International Economic Policy.
  3. Tony Castleman, 2011. "Human Recognition and its Role in Economic Development: A Descriptive Review," Working Papers 2011-08, The George Washington University, Institute for International Economic Policy.
Full references (including those not matched with items on IDEAS)

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

When requesting a correction, please mention this item's handle: RePEc:gwi:wpaper:2011-10. 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: (Kyle Renner)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.