ECON 4150
Introduction to Econometrics with Writing
Econometrics is the development and application of statistical techniques for the measurement of economic phenomena. This course is your initial study of econometric theory and practice. Topics include: translation of economic theory into statistical models, statistical foundations of econometrics, preregression analysis bivariate and multiple regression techniques, hypothesis testing, multicollinearity, specification error, autocorrelation, errors in variables, identification, and simultaneous estimation. The 3 writing assignments and the final paper will provide you an opportunity to formulate an economic model, estimate the model with appropriate data, and interpret the results.
Instructors
Reviews
I learned so much from this class. Dr. Canon is a fair grader, so what you put into the class is what you will get out of it.
2/25/2026
I think going to office hours singlehandedly raised my grade from a B+ to an A+, so as long as you do that this class is fine but it still has a decently heavy workload. She lowkey judges students who get the questions she asks in class wrong but other than that shes ok
12/22/2025
Maru's tough-love approach in this course can be uncomfortable, but it's worth it. The class demands significant time and effort, so stay proactive—attend office hours and communicate with the professor, classmates, and TAs. While challenging, it's rewarding to see growth with connecting economic theory to statistical analysis. ITS HARD!
12/23/2024
This class is a ton of work; weekly problem sets and the final paper are pretty difficult. Canon is a genuinely mean prof- yells at students for giving incorrect answers and fails to respond to emails. I once went to her for advice on my paper and she told me she couldn't do anything to help. Take this class if you're interested in econ research.
12/23/2023
This class was tough, one of the harder classes in the department, although curved appropriately. Professor Canon was always able to help with homework and the project if needed. I would reccomend that future students in 413W communicate via email and office hours, work through problem sets with peers, and prioritize the paper.
12/20/2023
This class was tough, one of the harder classes in the department, although curved appropriately. \n\nProfessor Canon was always able to help with homework and the project if needed. I would reccomend that future students in 413W communicate via email and office hours, work through problem sets with peers, and prioritize the paper.
12/20/2023
In general, she teaches quite fast but not in a productive way. Decent with grading but overall not worth taking
11/2/2023
Just fine, nothing groundbreaking. Her lectures were pretty easy to follow but very dry. It's less painful to just learn the material from the textbook. Class was a lot of work and the expectations were pretty high; at one point we had an exam and two days later a draft of the final writing project due. Just be prepared for a lot of work.
7/13/2021
Canon is always available to answer questions and help you. When writing your final research paper, her feedback will be incredibly useful. She is not a harsh grader, and wants you to suceed. Nonetheless, her lectures were lengthy and boring. Perhaps this is because significance tests and regression models are not the most interesting topic.
5/19/2021
Test are reasonable if you go through the material. The paper is ridiculously hard and she barely gives you any guidelines and you mostly have to figure out everything on your own. She may seem to be nice on a personal level but definitely comes across as mean as a teacher. She pretty much expects that you know how to use Stata and isn't helpful.
3/8/2021
Tests are fair-ish, paper isn't difficult provided you follow the steps she outlines (but it is alot of work). Most peculiar: She posted our final grades the day after we turned in our final paper (worth 40% of grade), but was generous with her grading. I didn't deserve the grade I got (which was very high). Sounds very strict when she lectures
5/5/2018