Applied Economics and Econometrics Analyst
Job Description
Use empirical methods to answer business and policy questions, documenting models and assumptions clearly.
What you will do
• Develop economic analyses using real datasets.
• Build regression, panel-data and causal-inference models suited to the question.
• Improve variable definitions and test robustness and sensitivity.
• Explain the methodology, assumptions and analytical choices so the work can be reviewed.
Required background
• One to three years in economics, econometrics, policy analysis or a related quantitative profession.
• A master’s degree in economics, econometrics, public policy or a related quantitative discipline.
• At least one first-author publication or equivalent first-author work.
• Strong problem-solving skills and the ability to complete technical analysis independently.
Preferred background
• Teaching-assistant experience in causal inference, econometrics or programming-based statistics, applied machine learning and empirical-analysis courses.
Availability
• Remote and asynchronous; accepted assignments typically last two to three weeks with 10–20 hours per week expected.
Pay and engagement
Per assignment; est. $63–$105/hour
Payment is an agreed assignment fee, not payment for hours worked.
The quoted $63–$105/hour is an estimated equivalent based on the assignment scope and expected effort; actual earnings per hour depend on time taken.
The fee and acceptance requirements are confirmed before you accept the work. Amounts are in USD.