The Incidence of Unemployment: Identifying Quit and Layoffs
We analyse what determines the incidence of unemployment among Danish employees by estimation of a logit model for becoming unemployed. Our data is incomplete in the sense that we do not observe whether a transition was caused by the person quitting or being laid off, so we apply the EM-algorithm to this problem. The models are extended to account for the panel data structure of the data set by including random effects. We use exclusion restrictions to identify quits and layoffs. We find many quitters among young and old women but only few among men.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" 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.
|Date of creation:||1997|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +45 8942 2350
Fax: +45 8942 2365
Web page: http://www.cls.dk/Email:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:clmsre:97-15. 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: (Thomas Krichel)
If references are entirely missing, you can add them using this form.