Economic Research Assistant (Applied Econometrics + Writing-Intensive)

We are hiring a research assistant to support research in applied econometrics and economic analysis, with topics including international relations and political economy. The work will blend careful writing (especially literature reviews) with hands-on quantitative analysis in R, Python and Stata.

What you’ll do:

• Support empirical research in applied econometrics, including data cleaning, variable construction, and replication
• Implement causal inference and quasi-experimental methods (e.g., event studies, difference-in-differences, IV-style designs where relevant)
• Assist with macroeconomic or policy modeling tasks as needed (conceptual framing, data assembly, estimation support)
• Maintain organized, reproducible workflows (well-documented code, tidy folders, version control habits)

Required qualifications:

• Current PhD in Economics (preferred) or someone who is closer to completing their PhD. Applicants with a PhD in similar fields will be considered (International Relations with training in econometrics).
• Strong English writing skills with the ability to produce polished literature reviews
• Solid training in applied econometrics and research design, including causal inference and quasi-experimental methods
• Comfort working in both R, Python and Stata for empirical analysis
• Work style and logistics
• Remote or hybrid (depending on location), with a regular weekly cadence
• Part-time hours available, with potential to scale up during deadlines

This role is a strong fit for someone who wants real research responsibility and skill-building across writing and empirical methods

How to apply:

You must send (candidates without these will not be considered):

• Resume/CV
• Cover letter
• Website or LinkedIn
• One writing sample (original work; a literature review excerpt or research memo is ideal)
• Optional: a short code sample (Python/Stata) or a link to a GitHub portfolio

Job Type: Full-time

Pay: Rs60,000.00 - Rs160,000.00 per month

Application Question(s):

• What's your intended salary bracket?
• In a staggered DiD with three timing groups, never-treated U, early-treated k, and later-treated ℓ > k, list the four underlying 2x2 DiD comparisons that feed the TWFE DiD coefficient. For each one, name the time windows it compares (PRE, MID, POST).
• If correlation does not equal causation, can correlational work be causal? Answer in one word: Yes or no?
• Can only treated units be used in economics analysis? Why or why not?

Work Location: In person