Econometrics Expert

$115/hr

rate as listed

Workload: 10+ hrs/week
Location: Location not stated
Field: Other

Author realistic empirical economics problems and rigorous reference answers used to evaluate AI model judgment. The work focuses on causal inference, panel data, choice models, forecasting, and practitioner-level identification or modeling errors.

The work

You will turn problems from applied economics, econometrics, or quantitative social science into self-contained evaluation tasks. Day to day, that means framing realistic empirical questions, specifying the available data and assumptions, working through each analysis step, and writing a reference answer that explains the reasoning behind the chosen method.

What the platform screens for

The screen is likely to test whether you can defend identification assumptions, distinguish credible designs from superficially plausible ones, and identify modeling mistakes that materially change a conclusion. A master's or PhD in economics or a related quantitative social science is required, along with at least three years of full-time empirical research or analytics experience, excluding internships and school. Hands-on causal inference or econometric modeling experience is required. Comfort with Stata, R, or Python is required, as is strong written English. Preferred experience includes difference in differences, instrumental variables, regression discontinuity, synthetic control, or time series forecasting.

Working arrangement

This is a remote, independent contractor role with ongoing, project-based work. It is fully async, with no fixed schedule, and requires at least 10 hours per week. You can scale your hours up or down from week to week, with no stated maximum. The platform says there is no screen recording, keystroke monitoring, or idle timer, and payments are made weekly through Stripe.

Pay band: $115/hr

What they look for

Applied econometrics and empirical research
Causal inference or econometric modeling
Master's or PhD in economics or a related quantitative social science
At least three years of full-time empirical research or analytics experience
Stata, R, or Python
Clear technical writing in English

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your three or more years of qualifying work include direct ownership of empirical decisions rather than only data preparation or implementation.
A strong answer: Give the research question, data structure, your exact responsibility, the design you selected, and the decision the analysis supported. Separate full-time professional experience from graduate study or internships.
Where people lose it: Candidates lose points by describing a team project without identifying which assumptions, models, or diagnostics they personally owned.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.