Professor

Kimberly Boswell

AD
3.9
Overall Ratings
Based on 80 Users
Easiness 3.4 / 5 How easy the class is, 1 being extremely difficult and 5 being easy peasy.
Workload 4.3 / 5 How light the workload is, 1 being extremely heavy and 5 being extremely light.
Clarity 4.0 / 5 How clear the professor is, 1 being extremely unclear and 5 being very clear.
Helpfulness 4.2 / 5 How helpful the professor is, 1 being not helpful at all and 5 being extremely helpful.

Reviews (80)

7 of 7
7 of 7
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Nov. 12, 2022
Quarter: Spring 2022
Grade: A

The class was online with multiple choice, open book/note midterms and final so it was an easy class, however the professor was a bad lecturer and I feel like I didn't learn much at all in this class. Her lectures were all over the place, and sometimes she would repeat herself, or forget what she was talking about, or contradict herself in the next sentence. When watching the lecture recordings, I would often play it back multiple times since it was just super confusing to understand her overall point.

Easy A, but you barely learn anything and her lectures are boring, bad, and frustrating.

Helpful?

0 1 Please log in to provide feedback.
June 29, 2025
Quarter: Spring 2025
Grade: A

Boswell is great at explaining the concepts; however, the course itself is poorly organized by the economics department. The material jumps around from correcting regression model assumption violations to QDV models, then to time series models, and back again to finishing the corrections for the regression assumptions. It also briefly touches on machine learning and panel data toward the end. While each of these topics is interesting on its own, trying to cover them all in just 10 weeks results in only a very basic understanding of the material. In contrast, Econ 103 was a much better learning experience, as it focused solely on least squares regression, covering both the derivation and the intuition behind it, along with practical applications. I would have preferred if this course had focused solely on completing the regression assumption corrections and gone more in-depth on time series and QDV models. Due to how crammed the course was, it didn’t provide enough depth to confidently apply any of the concepts. That said, Boswell remains an excellent instructor and continues to be my preferred choice for any economics course.

Helpful?

0 0 Please log in to provide feedback.
June 25, 2025
Quarter: Spring 2025
Grade: A

I enjoyed this class a lot since Boswell kept it very organized and straightforward. She listed past papers and all other resources/guides you needed to succeed in the class. I also found the readings very helpful if you needed clarification on confusing concepts. What helped me most were her practice exams and copying and pasting her slide information onto the cheat she let us have. Make sure to fill up both midterm cheat sheets with as much information since you can reuse them for the final exam. I didn't think discussions were necessary since I clarified any confusing concepts through the readings.

Helpful?

0 0 Please log in to provide feedback.
ECON 2
Quarter: Spring 2022
Grade: A
Nov. 12, 2022

The class was online with multiple choice, open book/note midterms and final so it was an easy class, however the professor was a bad lecturer and I feel like I didn't learn much at all in this class. Her lectures were all over the place, and sometimes she would repeat herself, or forget what she was talking about, or contradict herself in the next sentence. When watching the lecture recordings, I would often play it back multiple times since it was just super confusing to understand her overall point.

Easy A, but you barely learn anything and her lectures are boring, bad, and frustrating.

Helpful?

0 1 Please log in to provide feedback.
ECON 104
Quarter: Spring 2025
Grade: A
June 29, 2025

Boswell is great at explaining the concepts; however, the course itself is poorly organized by the economics department. The material jumps around from correcting regression model assumption violations to QDV models, then to time series models, and back again to finishing the corrections for the regression assumptions. It also briefly touches on machine learning and panel data toward the end. While each of these topics is interesting on its own, trying to cover them all in just 10 weeks results in only a very basic understanding of the material. In contrast, Econ 103 was a much better learning experience, as it focused solely on least squares regression, covering both the derivation and the intuition behind it, along with practical applications. I would have preferred if this course had focused solely on completing the regression assumption corrections and gone more in-depth on time series and QDV models. Due to how crammed the course was, it didn’t provide enough depth to confidently apply any of the concepts. That said, Boswell remains an excellent instructor and continues to be my preferred choice for any economics course.

Helpful?

0 0 Please log in to provide feedback.
ECON 2
Quarter: Spring 2025
Grade: A
June 25, 2025

I enjoyed this class a lot since Boswell kept it very organized and straightforward. She listed past papers and all other resources/guides you needed to succeed in the class. I also found the readings very helpful if you needed clarification on confusing concepts. What helped me most were her practice exams and copying and pasting her slide information onto the cheat she let us have. Make sure to fill up both midterm cheat sheets with as much information since you can reuse them for the final exam. I didn't think discussions were necessary since I clarified any confusing concepts through the readings.

Helpful?

0 0 Please log in to provide feedback.
7 of 7
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