AEM 6850

AEM 6850

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.

View Enrollment Information

  •   Regular Academic Session. 

  • 3 Credits Graded

  •  9684 AEM 6850   LEC 001

    • TR Malott Hall 224
    • Aug 21 - Dec 4, 2023
    • Michuda, A

  • Instruction Mode: In Person