AEM 6850

Empirical Methods for Applied Economists

Course Description

Course information provided by the 2025-2026 Catalog.

The course introduces students to various empirical methods and practices necessary to conduct applied research and analysis in microeconomics in a data-rich world. The course format is hands-on and students will conduct most of their work on computers in Python. Students will be graded on 1- participation, 2- weekly empirical exercises and 3- final project (chosen by the student). Topics covered include: 1- basics of Python programming 2- efficient coding practices for replication, teamwork and debugging 3- data gathering and manipulation (APIs and scraping) 4- effective data visualization 5- basic analysis of spatial data and networks 6- numerical methods (Monte Carlo simulations, bootstrapping techniques).

Prerequisites REF-FA25/Corequisites REF-FA25 AEM 6120 or higher. Corequisites: None.

Last 4 terms offered (None)

Outcomes REF-FA25

• Students will become proficient in basic programming in a statistical software.
• Students will be capable of gathering, manipulating and visualizing various types of data.
• Students will employ numerical methods in applied research.
• Students will apply techniques for analyzing original economic questions.

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