Applications of Non-S tandard Maximum Likelihood Techniques in Energy and Resource Economics

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" Applications of Non-S tandard Maximum Likelihood Techniques in Energy and Resource Economics "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151582
Doc. No	:	ET23374
Main Entry	:	Klaus Moeltner
Title Proper	:	Applications of Non-S tandard Maximum Likelihood Techniques in Energy and Resource Economics
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Two important types of non-standard maximum likelihood techniques, SimulatedMaximum Likelihood (SML) and Pseudo-Maximum Likelihood (PML), have onlyrecently found consideration in the applied economic literature. The objective of thisthesis is to demonstrate how these methods can be successfully employed in the analysisof energy and resource models.Chapter I focuses on SML. It constitutes the first application of this technique inthe field of energy economics. The framework is as follows: Surveys on the cost ofpower outages to commercial and industrial customers usually capture multipleobservations on the dependent variable for a given firm. The resulting pooled data set iscensored and exhibits cross-sectional heterogeneity. We propose a model that addressesthese issues by allowing.....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46613.pdf
Title and statement of responsibility and	:	Applications of Non-S tandard Maximum Likelihood Techniques in Energy and Resource Economics [Thesis]