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dc.contributor.authorDolatabadi, Sepidehen
dc.date.accessioned2018-10-03T19:46:17Z
dc.date.available2018-10-03T19:46:17Z
dc.identifier.urihttp://hdl.handle.net/1974/24956
dc.description.abstractThis thesis consists of two main parts. The first part is composed of two essays. The first essay addresses the common movements of employment growth within and across 12 countries in the European Monetary Union after the formation of the currency union. A Bayesian dynamic factor model is used to analyse fluctuations in European employment cycles and the co-movement of sectoral employment growth across industries and countries, so as to derive the sources of these fluctuations. The findings suggest that these co-movements did not tend to increase after the introduction of the euro. The results for sectoral employment growth indicate that the idiosyncratic factor accounts for a large share of the fluctuations in employment growth. For the variance that is not due to the idiosyncratic factor, the common-European factor accounts for the largest share of these fluctuations. The second essay uses a vector autoregressive model to estimate the effects of each country's country-specific mark-up and technology shocks. The model separately identifies each country's mark-up and technology shocks by imposing restrictions on the sign of each country's impulse responses. The study finds that these shocks are equally important, quantitatively, for explaining the fluctuations in the relevant macroeconomic variables. The second part presents the final essay, which examines applications of a recently developed fractionally cointegrated vector autoregressive model to commodity spot and futures prices. This essay, co-authored with Morten Ørregaard Nielsen, Paresh K. Narayan, and Ke Xu, models and forecasts commodity spot and futures prices using FCVAR models to accommodate fractional integration. The findings illustrate that, on average, the fractional model generates higher profits compares to non-fractional cointegrated VAR model, especially when analysing futures markets.en
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectEmpirical Macroeconomicsen
dc.subjectFCVARen
dc.subjectBayesian Estimationen
dc.titleIssues in International Macroeconomics And Finance: A Time-Series Analysisen
dc.typethesisen
dc.description.degreePhDen
dc.contributor.supervisorHead, Allenen
dc.contributor.supervisorGregory, Allanen
dc.contributor.departmentEconomicsen
dc.embargo.termsCopyrights: One chapter has been published in the Journal of Futures Markets.en
dc.embargo.liftdate2023-10-01T20:58:35Z
dc.degree.grantorQueen's University at Kingstonen


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