Econometrics: Statistical Tools to Understand Economic Data

Course Description

In this course, you will learn crucial statistical concepts and methods to qualitatively and quantitatively analyze and interpret data. Importantly, econometrics helps us understand economic or financial trends. Econometrics, for example, can be used to test, analyze, and predict hypotheses related to the U.S. recovery from the COVID-19 pandemic, Baby Boomer retirement, the labor market, or the price of oil, gas, and food.

This interactive course will include lectures, discussions, and hands-on learning. Problem-solving and empirical case studies will be at the heart of course discussions. They may include scenarios relating to car performance, global warming, gender discrimination, the relation between economic growth and life expectancy, and the effect of education on income. In addition, discussions will be sparked by viewing short video clips based on the popular Freakonomics book. You will also submit a short paper applying statistical analysis on the topic of your choosing. Overall, you will be exposed to problems from various fields, such as economics, finance, government, education, and public health.

By the end of this course, you will:
• Understand various statistics and econometrics concepts, including probability, random variables, distributions, inference, hypothesis testing, linear regression.
• Interpret plots and data and draw conclusions based on critical thinking.
• Use software to compute statistics, conduct simulations, and create adequate graphs (computer exercises).
• Conduct your statistical analysis to evaluate a hypothesis (final project).


Econometrics is an excellent option for any secondary school student who has completed a second-year algebra course and possesses sufficient mathematical maturity and quantitative reasoning ability. This course recommends a laptop for course-related programming, games/simulations, etc. Please note that some devices (e.g., Chromebooks) do not allow software downloads onto a desktop and so will not accommodate the specific needs of this course. If you have questions about this requirement please reach out to [email protected]


One Section Available to Choose From:

Online sections of Pre-College courses are offered in one of the following modalities: Asynchronous, Mostly asynchronous, or Blended. Please review full information regarding the experience here.

Dates: June 27, 2022 - July 08, 2022
Duration: 2 Weeks
Meeting Times: M-F 3:30P-6:20P
Status: Closed
Format: On-Campus
Instructor(s): Mauricio Caceres Bravo
Course Number: 10169