Skip to main content

Decomposing two values of a binary variable: application to the unemployment differential in Hungary

Buy Article:

$47.50 plus tax (Refund Policy)

This paper presents a study of the individual determinants of unemployment in Hungary. It seeks to understand the reasons why Hungarian women were, in 1992, less likely to be unemployed than their male counterparts. It estimates first, the probability of being in the stock of unemployment and secondly, one particular inflow into unemployment. Adapting standard discrimination analysis to the case of binary variables, the paper decomposes the differential in average unemployment rates by gender. The paper shows that differences in individual endowments account for very little of the gender gap in the stock of unemployment. On the other hand, slightly less than half the unemployment gap could come from differences in one digit occupations and sectors of employment between male and female employees.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: 01 December 1999

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more