QUANTITATIVE METHODS IN AGRICULTURAL AND APPLIED ECONOMICS
Use of quantitative methods (mathematics, statistics, and optimization) to analyze problems faced by decision makers in natural resources and agriculture. Extensive homework requiring use of quantitative methods via spreadsheet tools to solve problems from an applied decision context.
Prerequisites & course information
Requisites: ( MATH 211 or 221 ), ECON 301 , and STAT 301 , or graduate/professional standing Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Breadth - Social Science Level - Intermediate L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2023 Learning Outcomes: 1. Develop an understanding of the use of calibrated economic models to study economic policy and the underlying applied price theory. Audience: Both Grad & Undergrad 2. Gain expertise in the formulation of numerical economic equilibrium models with application to trade, public finance, climate and energy policy applications. Audience: Both Grad & Undergrad 3. Describe data sources for sectoral and economy-wide policy applications of calibrated economic equilibrium models. Audience: Both Grad & Undergrad 4. Use GAMS, Excel and other visualization tools to analyze and interpret large, multi-dimensional datasets and models. Audience: Both Grad & Undergrad 5. Demonstrate competence in writing about economic issues on the basis of evidence-based analysis of economic policy proposals. Audience: Both Grad & Undergrad 6. Learn equivalent formulations of partial and general economic equilibrium models in primal, dual and complementarity formats. Audience: Graduate Learning Outcomes: 1. Develop an understanding of the use of calibrated economic models to study economic policy and the underlying applied price theory. Audience: Both Grad & Undergrad 2. Gain expertise in the formulation of numerical economic equilibrium models with application to trade, public finance, climate and energy policy applications. Audience: Both Grad & Undergrad 3. Describe data sources for sectoral and economy-wide policy applications of calibrated economic equilibrium models. Audience: Both Grad & Undergrad 4. Use GAMS, Excel and other visualization tools to analyze and interpret large, multi-dimensional datasets and models. Audience: Both Grad & Undergrad 5. Demonstrate competence in writing about economic issues on the basis of evidence-based analysis of economic policy proposals. Audience: Both Grad & Undergrad 6. Learn equivalent formulations of partial and general economic equilibrium models in primal, dual and complementarity formats. Audience: Graduate
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- QUANTITATIVE METHODS IN AGRICULTURAL AND APPLIED ECONOMICS · 4 credits.