Courses

All courses carry 3 credits unless otherwise specified.

696 Independent Study in Resource Economics
Independent study and research on selected problems in resource economics. Credit, 1-9.

698 Research Field Essay

699 Master’s Thesis
Credit, 3-9.

701 Quantitative Methods
Introduction to quantitative methods for applied econometrics. Topics include joint, marginal, and conditional distributions and expectations, multivariate normal distribution, properties of estimators, maximum likelihood, identifiability, difference equations, and Yule-Walker equations.

702 Econometric Methods
Introduction to econometric methods: the general linear models, nonspherical properties, generalized least squares, and restricted least squares. Also estimation with limited dependent variables, dichotomous choice and causality testing.

703 Topics in Advanced Econometrics
Methodologies for dealing with collinearity, autocorrelation, heteroscedasticity, and endogenous right-hand-side variables. Stochastic restrictions and evaluating restrictions via alternative norms. Generalized least squares procedures. Zellner estimation. Pooling data. Simultaneous systems of equations. Fixed-effects and random-effects models.

711 Microeconomic Theory I
Basic theory of monopoly and competitive markets; market equilibria; comparative statics; and adjustment process. Analysis of optimizing decisions for firms and consumers; production, cost, and utility functions; comparative static analysis; the derivation of supply and demand curves; risk and uncertainty.

712 Microeconomic Theory II
Principles of welfare economics; introduction to noncooperative game theory; theories of imperfect competition; the provision of public goods and the control of externalities, and the economics of information.

720 Environmental and Resource Economics
Economics of environmental quality and natural resource management; theory of externalities, public goods, and resource extraction. Benefit-cost analyses of natural resource use and preservation of unique resources.

721 Advanced Environmental and Natural Resource Economics
Economic models of renewable and nonrenewable natural resources; introduction to dynamic optimization; and the theory of environmental policy.

732 Industrial Organization I in Resource Economics
Application of industrial organization and strategic management theory to the marketing system. Empirical analysis of market power exertion, including market structure and performance, price discrimination, product differentiation, vertical control, cartel formation and sustainability, mergers, strategic behavior and firm organizations. Applied topics include branding, advertising, tradeable pullution emission permits, environmental quality, biotechnology, intellectual property rights, and cooperatives.

791Y Seminar in Resource Economics
Credit, 1.

796 Independent Study
Credit, 1-6.

797A Special Topics in Forecasting
Forecasting techniques and econometric time-series modeling. Discovering the data generating process of a random variable. Univariate approaches for dealing with a time series: exponential smoothing methods and ARIMA models. Tests for stationarity. Unit roots. Dickey-Fuller tests. Augmented Dickey-Fuller models. Multivariate approaches for modeling. Spurious relationships. Cointegration. Vector autoregression. Error correction models.

797B Experimental Economics
The purpose of this class is to introduce the methodology of experimental economics and what we have learned from the application of these techniques.  Economics is fundamentally the study of how individuals, firms and governments allocate scarce resources.  This involves decision making which is the focus of experimental economics. 

797M Industrial Organization II in Resource Economics
Use of advanced industrial organization and related models for analysis of horizontal markets and vertical channels of distribution in the marketing system. Sample topics include market entry, spatial competition, price discovery and transmission, product quality, and vertical restraints of trade.

899 Doctoral Dissertation
Credit, 18.