This course is a comprehensive introduction to mathematical statistics principles underlying statistical analyses in economics. It covers probability theory, expectation, sampling, asymptotic results, the main families of probability distributions studied in economics, estimation and hypothesis testing.

Introduces models of economic growth and sustainable development with a focus on inequality and poverty in the national and global context.

This principles of economics course is intended to introduce students to concepts that will enable them to understand and analyze economic aggregates and evaluate economic policies. 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 uses economic tools to examine strategic aspects of competition and collaboration in an integrated global market. Topics include the determinants and changes in the boundaries of global firms, competitive advantage and value creation, the nature of global markets, and strategic positioning in the global market place.

Independent research conducted under the guidance of a faculty member.

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.

Courses designed to permit students and a professor to pursue a specialized interest in an area of economics not extensively treated in the offerings of the School.

Risky health behaviors such as smoking, alcohol use, drug use, risky sex, poor diet, and physical inactivity are responsible for thousands of preventable illnesses and deaths. They also impose billions of dollars in medical care costs each year in the United States. This course explores the economic theories and empirical evidence related to risky health behaviors. Topics include the demand and supply of goods and services that induce these behaviors, the impacts of health risks on individuals, firms, and society, and the role of government regulation and interventions in modifying these behaviors.

Econometric techniques and applications in economic and business analysis. Practical issues involving modeling, estimation, hypothesis testing, and emphasizing computer implementation through econometric software.

This principles of economics course is intended to introduce students to concepts that will enable them to understand and analyze economic aggregates and evaluate economic policies. 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.