Economic Forecasting

Randall Rojas

Economic Forecasting

Economics department

Randall Rojas

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from 4 users

Ratings

Bad
Overall 4.5
Good
Hard
Easiness of class 2.0
Easy
Heavy
Workload 3.0
Light
Not Clear
Clarity of professor 3.8
Clear
Not Helpful
Helpfulness of professor 4.2
Helpful
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Tags

  • Uses Slides
  • Tolerates Tardiness
  • Engaging Lectures
  • Useful Textbooks
  • Appropriately Priced Materials
  • Snazzy Dresser
  • Often Funny
  • Would Take Again
  • Has Group Projects

Grades

Spring 2019
25.7%
21.4%
17.1%
12.9%
8.6%
4.3%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

Winter 2019
20.8%
17.4%
13.9%
10.4%
6.9%
3.5%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

Spring 2017
30.3%
25.3%
20.2%
15.2%
10.1%
5.1%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

Spring 2016
26.9%
22.4%
17.9%
13.5%
9.0%
4.5%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

Spring 2015
27.1%
22.6%
18.1%
13.5%
9.0%
4.5%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

Winter 2014
23.8%
19.8%
15.9%
11.9%
7.9%
4.0%
0.0%
A+
A
A-
B+
B
B-
C+
C
C-
D+
D
D-
F

Grade distributions are collected using data from the UCLA Registrar’s Office.

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Reviews

Quarter Taken: Spring 2018 Submitted June 24, 2018 Grade Received: B

This is by far the most interesting and useful economics course I've taken at UCLA. Be aware, aa majority of the class drops out throughout the quarter. The quarter started with 145 students and a full waitlist and only 69 were left taking the final. There are a couple of reasons why.

First, the course description says, "Preparation: familiarity with data analysis software (e.g., R, Excel, MATLAB, Stata) and/or programming experience." This is not a suggestion. No, opening stata once and copying down 10 lines the professor gave you in 103 does NOT count. Most people dropped because they have never done any programming before and could not keep up with the pace. It is crucial that you take at least one programming course before. (If you want to use Stata from 103, actually learn it). Rojas gives you a homework week 1 in R that will generally weed out most of the class who takes a week and can't figure out how to upload a dataset.

The course has 1 midterm, 5 homeworks, 2 projects, and a final.

It is a lot of work. You learn a lot. If you are an econ major, this will probably be by far the most difficult course you will take at UCLA. If you are a math major (most of the class had a math/stats/ physics background), this should be easier than most of your other classes.

Most people do well on hw/projects. The midterm and final are very difficult. Averages were around 68. The course itself covers a broad range of topics. He will test you on topics barely mentioned and push you to really learn a lot on your own. Your success in the course depends on how much work you are willing to put in outside of class. The curve is very generous. I think it's misleading to think this is an easy course because of the grade distribution. The people left at the end are all very smart and willing to work hard, and Rojas rewards that.

Overall, I really recommend this course. Besides Econ 103, I think this is one of the only Econ courses that can actually benefit you in a career. You'll have to put in a lot of time and effort, but I think it's really rewarding. Whether you should or should not take this class really depends if you're here to get easy A's or want to learn valuable skills that will require a lot of time and hard work.

Quarter Taken: Spring 2020
COVID-19 This review was submitted during the COVID-19 pandemic. Your experience may vary.
Submitted July 9, 2020
Grade Received: A

This was probably one of the most interesting and useful econ electives I've taken at UCLA. I took this course with Rojas during the pandemic (AKA when everything was online/remote), so I'll give my review based on that.

First, you should definitely take a class on R, set aside some time to learn how to use the program, or have a friend who has experience and can teach you how to use R. I went in with really minimal programming experience (I've only taken PIC10A, so C++), so there was definitely a learning curve with it. Since the quarter was all online, Rojas gave us more time to complete the one midterm and final, but he put more weight on programming than he usually would with the class. That meant we had to come up with and submit our own lines of code for both exams.

In terms of content, I think I learned a lot of really useful information through this class. If you're looking to go in the data analyst direction, this is a great course to take. Rojas is also a very clear and helpful lecturer, and probably one of the best professors the econ department has to offer.

If you want to take a more challenging yet helpful econ elective, I highly recommend taking this with Rojas.

Quarter Taken: Winter 2019 Submitted Jan. 7, 2020 Grade Received: A-

I felt sad that I didn't go to lectures as often as I should've and didn't work as hard as I should've because this course is REALLY useful.

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Tags

  • Uses Slides
  • Tolerates Tardiness
  • Engaging Lectures
  • Useful Textbooks
  • Appropriately Priced Materials
  • Snazzy Dresser
  • Often Funny
  • Would Take Again
  • Has Group Projects
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