Essays on Environmental and Computational Economics
| dc.contributor.advisor | Jeffrey S. Scroggs, Committee Member | en_US |
| dc.contributor.advisor | Denis Pelletier, Committee Member | en_US |
| dc.contributor.advisor | Paul L. Fackler, Committee Chair | en_US |
| dc.contributor.advisor | John J. Seater, Committee Member | en_US |
| dc.contributor.author | Balikcioglu, Metin | en_US |
| dc.date.accessioned | 2010-04-02T18:28:38Z | |
| dc.date.available | 2010-04-02T18:28:38Z | |
| dc.date.issued | 2008-12-05 | en_US |
| dc.degree.discipline | Economics | en_US |
| dc.degree.level | dissertation | en_US |
| dc.degree.name | PhD | en_US |
| dc.description.abstract | The 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.other | etd-12032008-210449 | en_US |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/3285 | |
| dc.rights | I 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.subject | irreversibility | en_US |
| dc.subject | climate change | en_US |
| dc.subject | uncertainty | en_US |
| dc.subject | impulse control | en_US |
| dc.subject | singular control | en_US |
| dc.subject | pollution control | en_US |
| dc.subject | real options | en_US |
| dc.title | Essays on Environmental and Computational Economics | en_US |
Files
Original bundle
1 - 1 of 1
