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UC Berkeley STAT230A Spring 2022 final project - Replication of Michalopoulos: The Origins of Ethnolinguistic Diversity

License: MIT License

Stata 28.77% R 9.68% Jupyter Notebook 57.24% TeX 4.30%
generalized-linear-models geospatial python r replication-study robust-statistics stata statistics

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230afinal's Issues

GREG dataset

  • some EDA
  • Try to replicate the virtual country regressions with this data as the dependent variable

Explanation of Re-Analysis

  • changing the sample selection used by the authors to produce their results.
  • Compare and contrast with the main result.
  • If results differ significantly, conjecture and/or analyze the source of discrepancies.

Explanation of Regression 1

  • Describe and state the statistical assumptions for linear models clearly in both English and mathetical symbols;
  • Replicate their main regression result and interpret it in English;
  • Critically appraise their statistical assumptions for linear models;

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