Applied econometrics scripts for analyzing macroeconomic indicators and policy impacts using panel data models, Hausman tests, and fixed/random effects estimations.
This repository contains scripts and datasets for applied econometric analysis using Python (and optionally Stata).
It includes exercises and case studies on panel data, fixed and random effects models, Hausman tests, and dummy variable interpretation.
The project explores empirical relationships between macroeconomic indicators and employment using econometric models.
It demonstrates how to estimate and interpret panel data models (FE/RE) and perform hypothesis testing.
script_modelo→ Jupyter notebooks with analysis scriptspanel_limpio.csv→ Datasets used in the examples
To run the notebooks, install the following packages:
pip install pandas numpy statsmodels linearmodels matplotlib