QUANTITATIVE METHODS IN AGRICULTURAL AND APPLIED ECONOMICS

AAE 770

The fundamental mathematics and statistics necessary for the study of quantitative methods in resource and energy demand. Topics include the mathematics of optimization and its role in basic welfare theory and consumer demand; linear and matrix algebra and their application in both modeling consumer behavior and the statistical analysis of models; and the fundamentals of statistical analysis relevant to econometric analysis of resource and energy demand, including probability theory, sampling distributions, and statistical inference.

AAE 724

Quantitative methods typically used by economic analysts in a professional setting. Synthesize and apply previous coursework to conduct econometric analysis and produce a professional report.

AAE 670

The fundamental mathematics and statistics necessary for the study of quantitative methods in agricultural and applied economics (AAE). Topics include the mathematics of optimization and its role in basic welfare theory and consumer demand; linear and matrix algebra and their application in both modeling consumer behavior and the statistical analysis of models; and the fundamentals of statistical analysis relevant to econometric analysis, including probability theory, sampling distributions and statistical inference.

AAE 746

Economics of agricultural technology innovation and adoption, properties and measurement of production and productivity, and impact evaluation. Empirical methods, including surveys, experiments, randomized trials, and instrumental variable methods of testing applied microeconomic models.

AAE 737

Preparation for empirical work by examining contemporary econometric techniques as they are used in development, environment and natural resources, and agricultural economics. Review a selection of applied models using past and current research as examples. Develop a deeper understanding of the many facets of empirical research in economics.