Governments, companies, and charities are increasingly using “big" data to guide decision making. This course builds up foundational concepts and skills to help data scientists answer questions about the economic world. In the first half of the course we learn the fundamentals of data analysis in R, causal inference, and prediction. In the second half we learn what makes a dataset “big” and how to make accurate predictions about economic variables when the data contains many predictors. We will use real datasets to study topics which may include: the markups charged by online retailers, rents charged by airbnb units, salaries paid to athletes, and the prices of used cars. No prior experience with R or coding is necessary or expected.

Introduces research on the causes and consequences of contemporary armed conflict as well as economic studies of terrorism.

Doctoral research

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Independent research conducted under the guidance of a faculty member.

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This principles of economics course is intended to introduce students to concepts that will enable them to understand and analyze structure and performance of the market economy. Students can receive credit for either ECON 2100 or ECON 2101,or for ECON 2105/2106. Students cannot receive credit for ECON 2100 and ECON 2101 or for ECON 2100 and ECON 2105/2106 or for ECON 2101 and ECON 2105/2106.

This course covers important topics in development economics research and policy such as UN sustainable development goals, human resource investments, poverty and inequality, armed conflict and its impact on well-being and household decision-making. The course introduces students to latest theoretical developments as well as to empirical methods used in the field.

This course provides academic credit for doctoral-level independent research and specialized study conducted under the supervision of a Georgia Tech faculty advisor. ECON 8990 is designed for students to explore specific economic topics, methodologies, or preliminary research questions that fall outside the scope of regular course offerings.

Applies mathematical tools to economic analysis. Topics include the uses of linear algebra, multivariable calculus, comparative-static analysis, and optimization in economics.