IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

A Duration-Sensitive Measure of the Unemployment Rate: Theory and Application

  • Vani K. Borooah

    ()

The measurement of unemployment, like that of poverty, involves two distict steps: identification and aggregation. In this two-step process, the issue of identifying the unemployed has received considerable attention but, once the unemployed have been identiified, the aggregation issue has been addressed by simply "counting heads": the unemployment rate is conventionally defined as the proportion of the labour force that, on a given date, is unemployed. This, in particular, leads to differences between individuals, in their unemployment experiences being ignored when the unemployment rate is being computed. This paper - predicated on the proposition that what matters to a person is not just the fact of unemployment but also its duration - proposes a methodology, derived from the measurement of income inequality, for adjusting unemployment rates so as to make them "duration-sensitive". In consequence, different values of the "duration-sensitive" rate will, depending upon the degree of inequality in the distribution of unemployment duration, and upon the extent to which society is averse to such inequality, be associated with the same value of the conventionally defined unemployment rate. A numerical example, based on published data for seven major OECD countries, illustrates the methodology.

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://servizi.sme.unito.it/icer_repec/RePEc/icr/wp2002/borooah19-02.pdf
Download Restriction: no

Paper provided by ICER - International Centre for Economic Research in its series ICER Working Papers with number 19-2002.

as
in new window

Length: 19 pages
Date of creation: Apr 2002
Date of revision:
Handle: RePEc:icr:wpicer:19-2002
Contact details of provider: Postal: Corso Unione Sovietica, 218bis - 10134 Torino - Italy
Phone: +39 011 6706060
Fax: +39 011 6706062
Web page: http://www.esomas.unito.it/
Email:


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.:

as in new window
  1. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
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:icr:wpicer:19-2002. 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: (Simone Pellegrino)

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.