Semi-Markov and Markov labour histories
It is possible to construct a panel of labour market flows from the first wave of the British Household Panel Study. Using this data, a three-state Markov model of labour market transitions is specified and estimated, using the proportional hazard function approach. The three states considered are unemployment, employment and self-employment. The purpose of this exercise is to illustrate how Markovian models can be used to identify the determinants of labour market flows. The sample used consists of mature males (25-55 years old) as this to a large extent eliminates the problems associated with non-participation. Specification tests reveal that the null hypothesis that an individuals labour market history can be described by a Markov process can not be rejected, and hence the time invariant hazard rates are used to evaluate the steady state proportions.
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:||01 Jun 1994|
|Date of revision:|
|Contact details of provider:|| Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK|
Web page: https://www.iser.essex.ac.uk/
More information through EDIRC
|Order Information:|| Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK|
Web: https://www.iser.essex.ac.uk/publications/ Email:
When requesting a correction, please mention this item's handle: RePEc:ese:iserwp:1994-27. 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: (Paul Groves)
If references are entirely missing, you can add them using this form.