Estimating persistence in Canadian unemployment: evidence from a Bayesian ARFIMA
Abbreviated Journal Title
MOVING-AVERAGE MODELS; STATIONARY TIME-SERIES; REAL BUSINESS CYCLES; LONG-MEMORY; INFERENCE; TREND; Economics
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.
"Estimating persistence in Canadian unemployment: evidence from a Bayesian ARFIMA" (2006). Faculty Bibliography 2000s. 6437.