This dissertation is an economic investigation into the persistency of Canadian unemployment. It examines whether this persistence is caused by sectoral shifts. Empirically, we test for persistence using the Cochrane Variance ratio and the modified rescaled range test statistics. We estimate unemployment persistence using Bayesian ARFIMA class of models. To understand employment sectoral dynamics, the thesis uses data-driven Vector Autoregression models with emphasis on Classical and Bayesian estimation techniques. At the theoretical level, two structural Real Business Cycle models are proposed to explain how aggregate unemployment persistence emerges from sectoral labour mobility. The main difference between these two models is the impetus of the shock. One model uses relative sectoral technology shocks and the other uses relative sectoral taste shocks. We show that sectoral phenomena are important in accounting for aggregate unemployment fluctuations.
|Source Sets||Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada|
|Type||Electronic Thesis or Dissertation|
|Coverage||Doctor of Philosophy (Department of Economics.)|
|Rights||All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.|
|Relation||alephsysno: 001844932, proquestno: NQ75660, Theses scanned by UMI/ProQuest.|
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