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Topics are divided between 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.

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.

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.

Introduction to quantitative techniques used in resource economics theory and applications. Basic mathematical concepts and methods of microeconomics and their uses in optimization and comparative statics analysis.