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AAEC 5014: Applied Economic Analytics

Concentration: Agribusiness
Credits: 3 graduate credits


Mathematical and statistical methods used in applied economic decision making. Applied mathematical optimization, statistical simulation, data visualization, probability theory and linear econometric models to economic, agricultural, and environmental data and problems. Extensive application of quantitative models and modern programming platforms used in applied economic analysis.

Learning Objectives

Upon completion of this course, students will be able to:

  • Employ computational, statistical, simulation, and data visualization resources by using modern statistical and programming packages.

  • Build mathematical models applicable to applied economic analysis.

  • Solve problems relevant to applied economics by using mathematical optimization.

  • Formulate quantitative models used in applied economic data analyses.

  • Integrate results from business, government, and applied academic research.

  • Apply statistical properties and probability theory to applied economic data.

  • Formulate econometric models for applied economic decision making.

  • Verify econometric results for applied economic decision making. 

Prerequisites and Corequisites

Graduate Standing


Matthew Holt