How enchi521-ops/econometrics-notes works
Ch06-07 is a small set of Python companion scripts for econometrics review notes: one replicates textbook regressions and prints summaries, while the other generates explanatory figures. The scripts independently load Wooldridge datasets and use statsmodels; the figure script also uses NumPy and Matplotlib. The excerpts show examples spanning model fit, dummy variables, interactions, Chow tests, linear probability models, and program evaluation. README content was not provided, so the map reflects only the sampled source; Ch15 has no source files shown.
Main entry points: make_figures.py Generate figures · replicate.py Replicate examples · figures Generated plots
Components 9
Econometric examples
- Replicate examples
Ch06-07/code/replicate.py - Printed summaries
Explanatory figures
- Generate figures
Ch06-07/code/make_figures.py - Generated plots
Ch06-07/figures
Other components
- Learner
- Wooldridge datasets
- Statsmodels
- NumPy
- Matplotlib
Connections 10
- Learner → Replicate examples: runs
Ch06-07/code/replicate.py - Learner → Generate figures: runs
Ch06-07/code/make_figures.py - Replicate examples → Wooldridge datasets: loads datasets
Ch06-07/code/replicate.py - Replicate examples → Statsmodels: fits models
Ch06-07/code/replicate.py - Replicate examples → Printed summaries: prints results
Ch06-07/code/replicate.py - Generate figures → Wooldridge datasets: loads datasets
Ch06-07/code/make_figures.py - Generate figures → Statsmodels: fits models
Ch06-07/code/make_figures.py - Generate figures → NumPy: uses arrays
Ch06-07/code/make_figures.py - Generate figures → Matplotlib: creates plots
Ch06-07/code/make_figures.py - Generate figures → Generated plots: saves plots
Ch06-07/code/make_figures.py