Department Student Jobs
Economics Teaching Assistants
Students who wish to be Economics TAs need to have completed Econ 110, 380, and also the class they are applying to TA for prior to the semester/term of when the actual job will begin. Completion of 381 is also preferred. TAs are expected to maintain a 3.0 GPA or above. The beginning wage is $10.25/hour with a .50 raise every two semesters (if performance is satisfactory).
Applications for economics teaching assistant positions are due the third week of March for Spring/Summer/Fall and the third week of November for winter. Handwritten applications are not accepted. A current Academic Summary must also be attached. Shortly after the TA applications are due, the professors meet to review each candidate and make their selections. Typically, candidates are notified via email within two weeks from the application due date, whether they've been selected or not.
The next TA application will be posted below and announced in the department weekly emails.
*Spring/Summer/Fall TA Application - Due Thursday, March 19th by noon in 435 CTB
Economics Research Assistants
At this time, there is no formal process for students to apply to be research assistants. Since every professor does this differently, we suggest that you speak with your professors and ask if they are hiring. Most professors require their RAs to have taken Econ 388. If any professors are currently looking for research assistants, those positions will be announced in the department weekly emails and posted here.
Current RA Openings
RA For Dr. Emily Leslie
Dr. Leslie is looking to hire a research assistant. Will primarily be supporting projects related to crime and the criminal justice system. Starting pay is $10/hour. Desired qualifications:
- Completion of Econ 380, 381, 378, and 388 with good grades
- Planned graduation April 2021 or later
- Intermediate data and coding skills ideal, but not required.
Record Linking Lab Research Assistants
The Record Linking Lab (RLL) is a research lab run by Dr. Joseph Price that combines family history, machine learning, and economic research. Please visit rll.byu.edu for more general information about the lab or visit the Facebook page at https://www.facebook.com/BYUrecordlinkinglab/. Application instructions for students interested in becoming RLL RAs are found at: https://rll.byu.edu/students.