Natural Resources and Sustainability

Natural Resource and Environmental Economics

ECON 601 (3 Credits) Fall, Microeconomic Theory I

Analysis of consumer and producer theory, price determination and welfare economics.

ECON 602 (3 Credits) Alt. Fall: Economic Modeling

Economic Modeling takes a hands-on approach to applied microeconomics and resource modeling. Students are given an opportunity to extend their training in economic theory and econometrics to model real life problems in the areas of renewable and exhaustible resources, non-market valuation and environmental economics. Special emphasis will be given to the use of econometric analyses.

ECON 603 (3 Credits) Spring: Macroeconomic Theory I

Analysis of the underlying causes of unemployment, economic instability, inflation and economic growth.

ECON 623 (3 Credits) Fall: Mathematical Economics

Mathematical techniques including matrix algebra, differential and integral calculus. Particular attention is given to static and comparative statics analysis and dynamic models. (

ECON 626 (3 Credits) Spring: Econometrics

Introduction to econometric theory. Single equation and multiple equation system estimation, including inference and hypothesis testing and results of assumption violation.

ECON 635, (3 Credits) Fall: Renewable Resource Economics

The theory, methods of analysis and current literature of natural resource economics and policy for fisheries, forests and wildlife. Topics include externalities, property rights, public goods, benefit-cost analysis, amenity values and other non-market resource services and environmental policy.

ECON 636 (3 Credits) Spring: Non-Renewable Resource Economics

Exploration of issues relating to the mineral and energy markets. The analysis of energy and mineral use over time, capital investment problems and world market dynamics are explored. Topics include futures markets, present value, energy value and entropy.

STAT 605 (3 Credits) Alt. Spring: Spatial Statistics

Stochastic processes and variograms. Geostatistics including kriging and spatial design of experiments. Point processes including model selection and K-functions. Lattice process models and image analysis. Computer intensive statistical methods.

STAT 611 (3 Credits), Alt. Spring: Time Series

An applied course in time series and repeated measure analysis. Autoregression and moving average models. Estimation of parameters and tests. Prediction. Spectral analysis. Analysis of repeated measures data.

FISH 694 (3 Credits), Alt Spring: Bioeconomic Modeling and Fisheries Management

An introduction to analytic and computational models of discrete-time representations of bioeconomic systems, including comparative static and optimal control perspectives of optimizing for unitary and multiple criteria subject to deterministic and stochastic processes. Particular attention will be given to models of exploited populations of fish and shellfish. (Next offered 2008-09.)

FISH 694 (3 Credits), Alt Spring: Quantitative Analysis for Marine Policy Decisions

An introduction to the practical application of applied mathematical programming, operations research, simulation, risk analysis, adaptive management, and other decision theoretic tools to regulatory decision-making for natural resources and the assessment of environmental damages. (Next offered 2007-08.)