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…ctive modeling for ML practitioners
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This pull request adds comprehensive documentation, analysis, and communication materials for a causal inference study on Mexican IT salary survey data. The main contributions include a detailed execution summary mapping the project to its specification, a formal specification document, and a set of social media scripts designed to communicate key findings. Additionally, the original README is updated to clarify data usage permissions.
Documentation and Analysis:
CAUSAL_ANALYSIS_SUMMARY.md, providing a detailed mapping of how each item in the project specification was addressed, including methodology, confounder controls, key findings, limitations, and actionable insights.SPECIFICATION.md, outlining the requirements and constraints for the causal analysis, including data sources, periods, exclusions, and the main analytical goal.Communication Materials:
ig_scripts/01_intro_estudio.md,02_experiencia_vale.md,03_ingles_48k.md,04_brecha_genero.md) to communicate the study’s main findings, methodology, and societal implications in an accessible, engaging way. Each script includes a storyboard, required assets, music suggestions, hashtags, and captions. [1] [2] [3] [4]Repository Information:
README_original.mdto clarify the academic/research-only license and provide guidance for commercial use requests.