Econometrics
Regression, policy evaluation and introductory time series. Each of the 20 labs pairs an economic question with synthetic data and a complete Python analysis you can run in OpenEconometrics.
Econometrics labs
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Lab 01
The Economic Question Comes First
Research questions, observational units, data types and study design.
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Lab 02
A First Look at Wages
Descriptive statistics, distributions and clear exploratory plots.
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Lab 03
What Changes Across Random Samples?
Sampling variation, standard errors and the central limit theorem.
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Lab 04
Does Class Size Predict Test Scores?
Simple OLS with robust inference.
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Lab 05
How Precise Is Our Estimate?
Confidence intervals, t tests and the difference between precision and importance.
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Lab 06
What Changes When We Add Controls?
Multiple regression, omitted variable bias and same-sample comparisons.
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Lab 07
Do Groups Have Different Wage Profiles?
Indicator variables, interactions and conditional comparisons.
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Lab 08
Modeling Percentage Changes and Curvature
Log transformations, polynomial terms and interpretation.
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Lab 09
Same Coefficient, Different Standard Error?
Heteroskedasticity and robust covariance estimation.
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Lab 10
Testing Several Claims Together
Joint restrictions, F/Wald tests and specification questions.
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Lab 11
Comparing Firms to Themselves
Panel data, fixed effects and cluster-robust uncertainty.
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Lab 12
Explaining Labor-Force Participation
Linear probability, logit/probit models and marginal effects.
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Lab 13
Estimating Effects with an Instrument
IV/2SLS, relevance, exclusion and weak-instrument limitations.
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Lab 14
Evaluating a Randomized Training Program
Random assignment, treatment contrasts and uncertainty.
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Lab 15
Before and After a Policy Reform
Difference-in-Differences, parallel trends and treatment-unit clustering.
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Lab 16
What Happens Around an Eligibility Cutoff?
Regression discontinuity, bandwidths, continuity and local effects.
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Lab 17
The Trap of Trending Series
Stationarity, unit roots and spurious regression.
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Lab 18
Accounting for Persistent Shocks
Serial correlation and HAC inference.
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Lab 19
Forecasting Inflation Without Looking Ahead
Autoregressive models, time-ordered evaluation and forecast errors.
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Lab 20
From Research Question to Finished Report
Capstone: design, data, estimation, diagnostics and reproducible reporting.
Try it on your own data
OpenEconometrics is free and open source under Apache 2.0. Install the Python library or download the desktop alpha.
pip install openecon