Wages, work, and unemployment
This paper provides new evidence on unemployment durations for individuals in Great Britain using a three state Markov framework in a competing risk setting and a nationally representative data set. The analysis is based on the premise that an individual's movements between labour market states can be represented by a Markov process. The modelling procedure combines the dynamic properties of the search approach to unemployment while using the labour supply decision at each moment in time in response to the expected wage to include participation decisions. Using this framework, we are able to determine the effect of individual characteristics, including the expected wage, on labour market behaviour. The model is estimated separately for men and women, and for young and mature workers, to investigate whether labour market behaviour differs for these groups. The validity of the Markov assumptions are tested using different model specifications, and changes in the model over calendar time are also presented.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 30 (1998)
Issue (Month): 11 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAEC20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAEC20|
When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:30:y:1998:i:11:p:1531-1547. 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: (Michael McNulty)
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.