Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Einführung in Panel Regression

This project investigates how social media usage relates to political polarization in Germany, using panel data from the German Longitudinal Election Study (GLES). The analysis, conducted in R, includes data wrangling, visualization, and panel regression models to assess the impact of social media activity on shifts in political attitudes over time

Here I take a deep-dive into the relationship between a company's asset utilisation efficiency (with Asset Turnover as a proxy) and carbon emissions (RaceToZero website for refernce - Scope 1 + 2 Emissions). The financial data cannot be included as it was obtained using my University's subscription services.

R code for Panel Data Analysis with Expectation Maximization iteration for missing values. Final models are heteroskedastic, so Robust Covariance Matrix is used. Since the panel analysis didn't produce any potential fixed effect models, Chow Test wasn't included.

Understanding impact of financial factors on carbon emissions