Description:
The candidate will be involved in most stages of the research project. The ideal candidate will minimize the time burden on Prof Norris: anything they can do to achieve this is highly valued. Please emphasize qualities pertaining to this in your application.
Responsibility
- Data collection and cleaning. Collecting the data from the relevant sources (typically available on-line, either in public or academic databases), and cleaning the data.
- Regression analysis. Such as using OLS, IV, panel, spatial econometrics. Expect the assistant to take initiative in exploring the results and in investigating robustness.
- Quantitative analysis. Potentially apply economic models, for example using Monte Carlo simulations.
- Documentation. Provide well-commented code, write up results in reports and create tables and figures communicating the findings. These must be sufficiently clear such that I or someone else can continue from where you left-off, if necessary.
- Literature review. Review prior work to help inform directions we will take in the project
- Paper writing. Writing up the findings in an academic paper.
The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure
Required Education
- Bachelors degree in Economics or similar quantitative discipline (Computational Social Science, Computer Science, etc
Preferred Education
- Masters degree in Economics or similar quantitative discipline
Required Experience
- Some research experience (e.g. Bachelors/Masters dissertation; research assistantship; publications)
Required Skills
- Data analysis including knowledge of econometrics/statistics
- Data management: collection, organization, cleaning
- Programming language skills, especially with statistical languages (e.g. STATA)
- Project management: management of code (organization, commenting, version history, etc), time
- Interpersonal skills: teamwork, communication (including ability to intuitively explain technical concepts)
- Organizational skills: proactive, independence, initiative, critical thinking, problem solving, responsive