Skip to main content

Estimating persistence in Canadian unemployment: evidence from a Bayesian ARFIMA

Buy Article:

$47.00 plus tax (Refund Policy)

The degree of persistence in aggregate Canadian unemployment is estimated within a Bayesian ARFIMA class of models. The results conclude that unemployment exhibits persistence in the short and intermediate run. The evidence of persistence is stronger than previously reported by Koustas and Veloce (1996). This persistence cast a vital implication regarding disinflation policies, Based on the unemployment rate, these policies will prove very costly in terms of lost output and – if implemented – they considerably lengthen recessions.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: 1: Department of Economics, College of Business Administration, University of Central Florida, 4000 Central Florida blvd., Orlando, FL 32816, USA 2: Center for Human Resource Research, Ohio State University, 921 Chatham Lane, Suite 100 Columbus, OH 43221, USA 3: Department of Economics, McGill University, 855 Sherbrooke St. West, Montreal, Quebec, H3A 2T7, Canada

Publication date: 2006-08-20

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
X
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