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dc.contributor.advisorDaron Acemoglu and Abhitit Banerjee.en_US
dc.contributor.authorLester, Ashleyen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Economics.en_US
dc.date.accessioned2006-03-29T18:42:20Z
dc.date.available2006-03-29T18:42:20Z
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/32412
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2005.en_US
dc.description"June 2005."en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractThis thesis is a collection of three theoretical essays on institutions and economic growth. Chapter 1 considers a particular institution: ethnicity. Ethnic, religious and tribal divisions are empirically associated with economic underdevelopment. I construct a model in which groups form endogenously to enable cooperation between their members in a prisoner's dilemma. Groups sustain trust through monitoring, whereas only the Nash equilibrium, trade, is possible in an anonymous market. Optimal group size trades off the benefits of increased scale and the costs of reduced ability to detect cheating. Inter-group hostility can enable each group to enforce more trusting behavior between its own members. Even if groups may form optimally, in equilibrium they may persist inefficiently. Chapters 2 and 3 consider some distributional implications of technical change in a model with human capital. Both chapters distinguish between general skills, that are equally useful with any vintage of technology, and specific skills, that are associated with a particular vintage. In Chapter 2, I construct a model of slow technology diffusion. In developing countries, diffusion takes the form of a "dual economy", in which a gradually increasing fraction of workers use modern technology, while the remainder use traditional technology. Intermediate technologies are never used. During the transition, wages of specific-skill workers fall, as workers with general skills disproportionately join the modern sector. The model can also be applied to technology diffusion in developed countries. Chapter 3 asks why, early in the modern era, technical change was primarily deskilling, while in the modern era it is skill-biased.en_US
dc.description.abstract(cont.) Whereas previous explanations have focused on changes in technology, this paper suggests that changes in skills themselves were important. High-skill workers invest in specific skills if technical change is slow, and in general skills if it is rapid. This generates a U-shaped relationship between the rate of technical change and the skill-premium. Moreover, with low rates of technical change the modern sector is unskill-intensive, whereas the reverse is true when technical change is faster. The predictions of the model are compared with the historical experience.en_US
dc.description.statementofresponsibilityby Ashley Lester.en_US
dc.format.extent119 p.en_US
dc.format.extent6766966 bytes
dc.format.extent6774171 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectEconomics.en_US
dc.titleEssays in the theory of economic growthen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economics
dc.identifier.oclc61696946en_US


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