Professor: Dr. John Burkett
Prerequisites: EEC 576 or permission of instructor
Catalog Description: A course covering the tools necessary for professional research in resource economics. Reviews the general linear model, but emphasis is on simultaneous equation models. Assumes a knowledge of introductory econometrics, statistical theory, and matrix algebra.
This course covers econometric foundations and selected applications. After briefly reviewing parts of probability, statistics, and introductory econometrics, we shall focus on maximum likelihood and Bayesian methods and their application to forecasting, systems of regressions, simultaneous equations, and micro econometrics. We will aim to achieve a command of econometric theory and computer programming sufficient for solving novel problems with more flexibility than allowed by the limited menus of traditional econometric software packages.
By the end of the semester students will be able to:
Dr. Burkett is an economist who specializes in microeconomics, econometrics, and health economics. His current research interests are:
Learn to combine economics, statistics, and mathematics to answer empirical questions relevant to resource economics.
This course is a requirement for environmental and natural resource economics graduate programs and a prerequisite for several other upper level graduate courses.