Network dependent altruism and economic growth

buir.advisorSağlam, H. Çağrı
dc.contributor.authorÇetin, Sefane
dc.date.accessioned2016-07-22T13:38:34Z
dc.date.available2016-07-22T13:38:34Z
dc.date.copyright2016-07
dc.date.issued2016-07
dc.date.submitted2016-07-21
dc.departmentDepartment of Economicsen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Economics, İhsan Doğramacı Bilkent University, 2016.en_US
dc.descriptionIncludes bibliographical references (leaves 19-21).en_US
dc.description.abstractThis thesis studies reference dependent agents in a static network where the reference point is the average behaviour in one's neighbourhood. It shows that the economy grows at a constant rate on the balanced growth path while income inequality and the speed of convergence depend on the specific network structure. For particular networks, initial inequalities remain in the long-run. However, it is also possible that depending on the location of agents, a lagged agent may surpass the ones who had higher initial human capital than her and as a result, a society that has too disperse initial distribution may admit an equilibrium in which the wealth distribution converges towards equality in the long-run. In short, in an economy at which the production depends on human capital, income inequalities can be explained by taking the network structure of the economy into account.en_US
dc.description.degreeM.A.en_US
dc.description.statementofresponsibilityby Sefane Çetin.en_US
dc.embargo.release2018-07-21
dc.format.extentix, 22 leaves.en_US
dc.identifier.itemidB153654
dc.identifier.urihttp://hdl.handle.net/11693/30155
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAltruismen_US
dc.subjectHuman capitalen_US
dc.subjectNetworksen_US
dc.subjectReference-dependenceen_US
dc.titleNetwork dependent altruism and economic growthen_US
dc.title.alternativeAğa bağlı fedakarlık ve ekonomik büyümeen_US
dc.typeThesisen_US

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