Economics professors David Laibson (Harvard University), James Choi (Yale University), and John Beshears (Harvard Business School) are hiring a full‐time research assistant to start work in mid-June 2022. This position will last until mid-July 2023, with a potential second-year renewal, and will involve work on theoretical and empirical research related to behavioral economics, decision making, savings, and health behaviors. The research uses field data, experimental data, and field experiments.
Salary is $58,500 annually, plus benefits. Expected start date is mid-June 2022. Visa sponsorship is available.
For examples of our research, see our faculty pages:
- Performing statistical analyses on large databases
- Designing and running experiments
- Programming simulations of theoretical models
- Proving theoretical results
- Bachelor’s degree by start date (required)
- Strong programming and quantitative skills, including coursework in multivariable calculus, matrix algebra, probability, and statistics (required)
- Previous experience estimating econometric models (strongly preferred)
- Interest in applying to a quantitative PhD program and pursuing an academic career (strongly preferred).
We prefer research assistants who want to become professional economists, but we're interested in future PhDs in any quantitative field. Our past full‐time RAs have enrolled in the following PhD programs: Harvard economics (13), Harvard business economics (5), Harvard public policy (1), MIT economics (8), MIT operations research (1), Princeton economics (1), University of Chicago GSB – finance (2), University of Chicago GSB – economics (2), University of Chicago history (1), UC Berkeley economics (1), Yale economics (1), Columbia economics (1), and NYU Stern economics (1).
- Submit a single PDF containing your (1) cover letter, describing your interest in and qualifications for the position, (2) resume, and (3) unofficial transcript to: firstname.lastname@example.org. Applications will be accepted and reviewed on a rolling basis.
- Qualified applicants will be invited to complete a data analysis task to demonstrate quantitative and programming proficiency.
- Highly qualified applicants will be invited to interview with our team and provide up to 3 references.