Remote Econometrics AI Training Opportunities

Part of: Economics & Public Policy

What to Expect

Econometrics evaluation tasks demand rigorous statistical and economic methodology assessment. You'll evaluate whether AI-generated econometric analyses correctly specify regression models (appropriate variable inclusion, functional form), identify and address endogeneity (instrumental variables, difference-in-differences, regression discontinuity), and interpret results without overstating causal claims. Tasks frequently present AI analyses of policy interventions and ask whether the identification strategy is credible. Time series tasks assess whether AI correctly applies unit root testing, cointegration analysis, and ARIMA/VAR modeling. AI econometric outputs often use sophisticated-sounding methods incorrectly or make unwarranted causal inferences from correlational data. PhD or strong Master's-level training in economics, statistics, or econometrics is the standard background.