DATA ANALYTICS FOR ECONOMISTS
Use core economic datasets such as the Panel Study on Income Dynamics, Consumer Expenditure Survey, National Income and Product Accounts, and the American Community Survey for quantitative economic research. Learn to clean and manipulate data to create datasets usable for economic research and to implement theory-based and atheoretic econometric models.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Be familiar with core data sets often used in microeconomics, macroeconomics, industrial organization, and finance Audience: Graduate 2. Assemble manipulate economic data into datasets that can be used to conduct economic research Audience: Graduate 3. Recognize the organization of economic data into cross-section, panel, and time series datasets Audience: Graduate 4. Use python and pandas to efficiently manipulate and analyze economic data Audience: Graduate 5. Identify the strengths and weaknesses of theory-based and atheoretic econometric models Audience: Graduate Learning Outcomes: 1. Be familiar with core data sets often used in microeconomics, macroeconomics, industrial organization, and finance Audience: Graduate 2. Assemble manipulate economic data into datasets that can be used to conduct economic research Audience: Graduate 3. Recognize the organization of economic data into cross-section, panel, and time series datasets Audience: Graduate 4. Use python and pandas to efficiently manipulate and analyze economic data Audience: Graduate 5. Identify the strengths and weaknesses of theory-based and atheoretic econometric models Audience: Graduate
Sources
- Course catalogue ↗2026-2027