AfterQuery
AfterQueryVerified listing
Remote

Econometrics Expert

115/hr
Remote
Posted September 16, 2026
contract
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Listing checked October 7, 2026 · pay as published by AfterQuery

Overview

AfterQuery brings on applied economists to build empirical problems that frontier AI labs use to gauge model judgment. Prompts come straight from your own research background: causal inference questions, panel data, discrete choice models and forecasting tasks, and you carry each one through to a reference answer with the reasoning laid out step by step. Hours stay flexible with a floor of 10 per week and no ceiling, so you decide how much you take on each week. Pay arrives weekly through Stripe, and the arrangement runs as independent contractor work with ongoing projects.

What You'll Do8

  • 1Write empirical economics problems that mirror the questions you handle in your own research or analytics work.
  • 2Turn each prompt into a complete reference solution, showing the logic behind every stage of the analysis.
  • 3Cover territory such as causal identification, panel data structures, discrete choice models and time series forecasting.
  • 4Flag identification and modeling mistakes that survive a surface check but break under an econometrician's eye.
  • 5Explain your reasoning in clear written English so a reviewer can trace how an answer was reached.
  • 6Ground each problem in realistic data structures and estimation routines instead of textbook abstractions.
  • 7Scale output up or down each week while holding to the 10 hour minimum.
  • 8Apply your own empirical judgment when deciding what counts as a sound answer.

Requirements8

  • 1Master's or PhD in economics or another quantitative social science.
  • 2At least 3 years in a full time empirical research or analytics post. Internships and coursework do not count toward this bar.
  • 3Direct experience with causal inference or econometric modeling.
  • 4Working command of Stata, R or Python.
  • 5Strong written English and the ability to walk a reader through an analysis.
  • 6Availability of 10 hours per week at minimum.
  • 7Preferred: hands-on work with difference in differences, instrumental variables, regression discontinuity or synthetic control designs.
  • 8Preferred: time series forecasting projects.

Who Should Apply

The strongest fit is an applied economist or econometrician with a graduate degree and several years of hands-on empirical work, someone who reaches for difference in differences, instrumental variables or forecasting methods without checking a reference. You should enjoy writing out why an estimate holds up, not just producing the number. The role suits people who want to stay inside their specialty and control their own schedule week to week. Applicants who bring only coursework or internship experience miss the 3 year full time bar, and those who cannot explain an identification strategy in plain written English score low on fit. A fixed 40 hour structure or a team-based project format will frustrate you here.

Salary Insight

Pay runs $115.00 per hour, sent weekly through Stripe under an independent contractor arrangement. For an econometrician with a graduate degree and a few years of empirical work, that figure lands above what most academic research assistant and postdoc roles pay per hour and tracks with senior analytics consulting rates. Since you set your own hours, weekly earnings depend on how much you take on above the 10 hour floor.

Pay and demand for Market Research & Insights roles

Aggregated

Typical pay

$90/hour

This role

$115/hr

Most Market Research & Insights roles pay $59–$139 per hour. This role's pay falls inside that range.

Based on 32 similar roles that publish pay · 1 publishes only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Location

Typeremote
LocationRemote
This is a remote position

Compensation

$115/hr

Required Skills

econometricscausal inferencestatarpythondifference in differencesinstrumental variablesregression discontinuitysynthetic controltime series forecastingpanel datadiscrete choice modelsempirical researchmicroeconometricsquantitative social sciencestatistical modeling

Application Tip

Name the estimator, the identification strategy, the dataset and the result when you describe past work. A line like 'difference in differences on 12 years of state panel data, clustered standard errors, 4 percent wage effect' reads as a practitioner, while 'causal inference experience' does not. Confirm upfront that you can commit at least 10 hours per week and note how many projects you want to carry.

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