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decomposition-analysis

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End-to-end Python econometric toolkit implementing Dustmann et al.'s (2025) decomposition framework for identifying the true labor market impact of immigration. Separates aggregate immigration effects into displacement, crowding-out, and selection components using 2SLS, FD-IV, and Wild Cluster Bootstrap on German social security microdata.

  • Updated Nov 2, 2025
  • Jupyter Notebook

This customer churn analysis identifies key factors contributing to attrition and their financial impact, helping businesses enhance retention strategies. The study leverages data-driven insights to optimize contracts, pricing, and service offerings for improved customer loyalty."

  • Updated Feb 9, 2025

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