- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Course information provided by the Courses of Study 2018-2019.
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 R. 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 R programming 2- efficient coding practices for replication, team work and debugging 3- data gathering and manipulation 4- effective data visualization 5- basic analysis of spatial data and networks 6- numerical methods (Monte Carlo simulations, bootstrapping techniques).
When Offered Spring (weeks 8-14).
Prerequisites/Corequisites Perequisite: 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.
Disabled for this roster.