Essays on Environmental and Computational Economics

dc.contributor.advisorJeffrey S. Scroggs, Committee Memberen_US
dc.contributor.advisorDenis Pelletier, Committee Memberen_US
dc.contributor.advisorPaul L. Fackler, Committee Chairen_US
dc.contributor.advisorJohn J. Seater, Committee Memberen_US
dc.contributor.authorBalikcioglu, Metinen_US
dc.date.accessioned2010-04-02T18:28:38Z
dc.date.available2010-04-02T18:28:38Z
dc.date.issued2008-12-05en_US
dc.degree.disciplineEconomicsen_US
dc.degree.leveldissertationen_US
dc.degree.namePhDen_US
dc.description.abstractThe study consists of three separate essays. The first essay reassesses and extends the papers by Pindyck (2000, 2002) which analyze the effects of uncertainty and irreversibility on the timing of emissions reduction policy. It is shown that proposed solutions for some of the optimal stopping problems introduced in these papers are incorrect. Correct solutions are provided for both the incorrect special cases and the general model through a numerical method since closed form solutions do not exist for these problems. In the second essay, singular control framework is employed in order to allow for gradual emission reduction instead of once-for-all type policies. The solution for the model is obtained using the numerical method introduced in the last essay. The effects of uncertainty and irreversibility on optimal emission reduction policy are investigated. The model is illustrated for greenhouse gas mitigation in the context of climate change problem and some of the model parameters are estimated using a state space model. In the third essay, a unified numerical method is introduced for solving multidimensional singular and impulse control models. The link between regime switching and singular/impulse control problems is established. This link results in a convenient representation of optimality conditions for the numerical method. After solving the optimality conditions at a discrete set of points, an approximate solution can be obtained by solving an extended vertical linear complementarity problem using a variety of techniques. The numerical approach is illustrated with four examples from economics and finance literature.en_US
dc.identifier.otheretd-12032008-210449en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/3285
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectirreversibilityen_US
dc.subjectclimate changeen_US
dc.subjectuncertaintyen_US
dc.subjectimpulse controlen_US
dc.subjectsingular controlen_US
dc.subjectpollution controlen_US
dc.subjectreal optionsen_US
dc.titleEssays on Environmental and Computational Economicsen_US

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