Title

Estimating Persistence In Canadian Unemployment: Evidence From A Bayesian Arfima

Abstract

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.

Publication Date

8-20-2006

Publication Title

Applied Economics

Volume

38

Issue

15

Number of Pages

1809-1819

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1080/00036840500427023

Socpus ID

33748113800 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33748113800

This document is currently not available here.

Share

COinS