Sign up to get all the latest Careers and Education news delivered to you - - >
TUS Ad

Predicting the Probability of Long-Term Unemployment

Share this post

Predicting the ESRIProbability of Long-Term Unemployment

 

A new ESRI study, commissioned by the Department of Social Protection, updates the statistical profiling model used by the Department to identify those jobseekers at risk of becoming long-term unemployed, the Probability of Exit (PEX) model.

The study found that the eight key characteristics associated with the risk of long-term unemployment in 2018 are:

  1. claiming Jobseeker’s Allowance
  2. not being recently employed
  3. having low levels of educational attainment
  4. poor (self-perceived) health
  5. having a history of long-term unemployment
  6. having previously been on the Community Employment (CE) scheme
  7. not having access to one’s own transport
  8. being older

The study also examines whether the characteristics associated with the risk of long-term unemployment have changed since the PEX model was originally developed in 2006.

Employment

Click here to read original article ...

Languages top
envelopemenu-circlecross-circle linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram