Labor economics and minimum wage policy exercises using Python-based analytical workflows.
| Dimension | Classification |
|---|---|
| Primary lab | Applied Economics Lab |
| Secondary labs | Research Methods Lab; Data Science Lab |
| Domain | Labor economics; wage policy; public policy analytics |
| Methods | Data cleaning; exploratory analysis; policy-oriented computation |
| Tools | Python; CSV; Excel |
| Portfolio role | Shows applied economic analysis with code-based outputs and reproducible exercises. |
This repository is organized as part of the Applied Economics Lab. It highlights economic reasoning, code-based analysis, and structured outputs for labor-market questions.
Core capabilities represented here:
- Labor economics.
- Minimum wage and salary analysis.
- Public policy analytics.
- Python scripting.
- Reproducible data exercises.
Excercise*_code_CUETO.py Python scripts
Excercise*_output_CUETO.csv Generated CSV outputs
Excercise4_output_ CUETO.xlsx Excel output
File*.csv / File*.xlsx Input files
README.md Project overview
This project should be read as a compact technical exercise in applied economics: it demonstrates how policy questions can be translated into structured data tasks, scripts, and outputs.