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panel-regression

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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

  • Updated Jun 11, 2025
  • R

End-to-end Python replication of 'The Value of Information: A Puzzle' (Kadan et. al, 2026). Estimates equilibrium dollar value of private information in US equity markets via discrete quadratic covariation of 1-min NYSE TAQ price changes & signed order flow. Implements CLNV trade signing, Amihud filtering, 2-way FE regressions, & SDF entropy bounds

  • Updated May 17, 2026
  • Jupyter Notebook

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