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labor-economics

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An interpretable system that models the future of work as an equilibrium under AI-driven forces. Instead of predicting job loss, it decomposes workforce disruption into automation pressure, adaptability, skill transferability, demand, and AI augmentation to explain stability, tension, and transition paths by 2030.

  • Updated Dec 13, 2025
  • Python

Source code for the data analysis and models, including the FewSOC prompting framework for O*NET-SOC classification, used in the paper "Leveraging Large Language Models for Career Mobility Analysis: A Study of Gender, Race, and Job Change Using U.S. Online Resume Profiles."

  • Updated Jan 14, 2026
  • Jupyter Notebook

🇫🇷 Analyse des différences de salaire entre natifs et immigrés (Enquête Emploi 2018) 🇬🇧 Wage differential analysis between natives and immigrants (French Labor Force Survey 2018) Projet complet d'analyse de données avec Python | Full data analysis project with Python Data cleaning • Statistical modeling • Visualization • Policy implications

  • Updated Dec 30, 2025
  • Jupyter Notebook

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