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nicolacaravaggio/README.md

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  • 👋 Hi, I’m @nicolacaravaggio
  • 👀 I’m interested in data analysis, with a focus on public economics, forestry, and labor economics.
  • 🌱 I’m currently learning machine learning and causal inference methods.
  • 💞️ I’m looking to collaborate on projects involving prediction and causal analysis.
  • 📫 Reach me at: nicola.caravaggio@unimol.it

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  1. dashboard_somministrazione_stock dashboard_somministrazione_stock Public

    Shiny dashboard of Italian working agencies' employees. Link: https://nicolacaravaggio.shinyapps.io/stock_eng/?_ga=2.4767099.931419517.1657230621-1520541816.1657001700

    R

  2. dashboard_somministrazione_pivot dashboard_somministrazione_pivot Public

    Shiny dashboard of Italian working agencies' employees in pivot-style. Link: https://nicolacaravaggio.shinyapps.io/stock_pivot/?_ga=2.219075793.931419517.1657230621-1520541816.1657001700

    R

  3. forest_cover_data forest_cover_data Public

    Reconstructed forest cover data (1960-2015) for 114 countries based on FAO sources. Article link: https://www.sciencedirect.com/science/article/abs/pii/S1389934120305165

    Stata

  4. working_paper_roma3 working_paper_roma3 Public

    Web scraping procedure to retrive citations of working papers of Roma Tre University, School of Economics.

    Jupyter Notebook

  5. workers_return_rate workers_return_rate Public

    Animated plot of workers' return rate over one year from a termination.

    R

  6. country_name_harmonization country_name_harmonization Public

    Stata and R scripts to harmonize countries' name among different database sources. In collaboration with Federica Cappelli, Ph.D.

    Stata