- Schedule of Classes - October 1, 2023 7:53PM EDT
- Course Catalog - October 1, 2023 7:34PM EDT
Course information provided by the Courses of Study 2023-2024.
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).
When Offered Fall.
Prerequisites/Corequisites Prerequisite: AEM 6120 or higher.
- 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.
Regular Academic Session.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
- TR Malott Hall 224
- Aug 21 - Dec 4, 2023
Instruction Mode: In Person
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