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dc.contributor.advisorMahmud, Syed F.
dc.contributor.authorYücel, Mustafa Eray
dc.date.accessioned2016-01-08T20:17:11Z
dc.date.available2016-01-08T20:17:11Z
dc.date.issued2000
dc.identifier.urihttp://hdl.handle.net/11693/18200
dc.descriptionAnkara : The Department of Economics, Bilkent Univ., 2000.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2000.en_US
dc.descriptionIncludes bibliographical references leaves 54-57.en_US
dc.description.abstractThis study examines the determinants of trade flows for six developed countries. Volume of imports (exports) is regressed on relative import (export) price and domestic (world) real income using non-parametric kernel estimation techniques. On quarterly data, Local Constant Least Squares (LCLS) and Local Linear Least Squares (LLLS) estimates of trade elasticities are obtained. Using pointwise and point estimates of these elasticities, the Marshall-Lemer Condition is checked for our sample countries. The condition is satisfied for two of our six sample countries. Although the existing controversy on the subject has not been solved using non-parametric regression techniques, a new room is opened for further investigation by presenting the time-behaviour of trade elasticities.en_US
dc.description.statementofresponsibilityYücel, Mustafa Erayen_US
dc.format.extentvii, 117 leaves, tablesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMarshall-Lemer Conditionen_US
dc.subjectLocal Linear Least Squaresen_US
dc.subjectLocal Constant Least Squaresen_US
dc.subjectNon-Parametric Regression,en_US
dc.subjectNon-Parametric Kernel Estimationen_US
dc.subject.lccHB139 .Y83 2000en_US
dc.subject.lcshEconometrics--Statistical models.en_US
dc.subject.lcshNon-parametric statistics.en_US
dc.subject.lcshRegression analysis.en_US
dc.titleTesting Marshall-Lerner Condition: a non-parametric approachen_US
dc.typeThesisen_US
dc.departmentDepartment of Economicsen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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