Quant Econometrics Academy
Your econometrics desk
365 interactive stages · 84 skills · 12 complete courses
Course library
From foundations to expert practice
Ordinary Least Squares
The line of best fit, how it's computed, inference, and the assumptions behind it.
Instrumental Variables & 2SLS
When OLS is biased by endogeneity, and how an instrument plus 2SLS rescues it.
Difference-in-Differences
Treatment effects from before/after × treated/control, parallel trends, event studies.
Vector Autoregression (VAR)
Joint dynamics of several series: estimation, impulse responses, Granger causality.
Panel Data: Fixed & Random Effects
Unobserved heterogeneity, pooled-OLS bias, the within estimator, FE vs RE.
Logit & Probit (Binary Outcomes)
Binary outcomes: the logistic model, odds ratios, marginal effects, classification.
Generalized Method of Moments (GMM)
Moment conditions as a unifying estimator, IV-GMM, over-identification, efficiency.
Statistical Foundations, Simulation & Asymptotics
Probability, sampling distributions, estimator properties, asymptotics, Monte Carlo, and bootstrap.
Maximum Likelihood & Numerical Econometrics
Likelihood construction, information, identification, robust inference, and numerical optimization.
Univariate Time Series & Forecasting
Stationarity, ARMA, ARIMA, diagnostics, and rolling-origin forecast evaluation.
Cointegration, VECM & State-Space Models
Unit roots, long-run systems, error correction, Kalman filtering, and nowcasting.
Financial Econometrics, Risk & Factor Models
Returns, GARCH, VaR, Expected Shortfall, factor pricing, GMM, and backtesting.
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Skill map
84 connected capabilities
Track durable mastery separately from lesson completion. Due skills return on a 1, 3, 7, 21, and 60-day schedule.
Portfolio studio
Ship work an economist can inspect
Three reproducible capstones with guided and unguided modes, local code, and notebook or HTML export.
Guided curricula
Choose a learning path
Every route uses the same rigorous courses in a deliberate order. Switch routes whenever your goal changes.
Mastery loop
Learn it four ways
Completion means you acted: readings are confirmed, code must run, interactives must launch, and assessments must be solved.
- 01
Understand
Start from the economic question and the identifying assumption.
- 02
Estimate
Run real statsmodels code in a private browser-side Python runtime.
- 03
Experiment
Move parameters and watch bias, uncertainty, and dynamics respond.
- 04
Prove
Solve varied assessments with hints and precise explanations.
Been Free, Will be Free.