Replication Materials: "The Future of Worker Well-being in the AI Era: A Class-Stratified Regression Analysis with Machine Learning Validation Using the Job Demands-Resources Framework"

This repository contains replication materials for the paper "The Future of Work in the AI Era: Job Demands, Resources, and Class-Stratified Wellbeing Across 27 European Countries." DATA- Analytic sample derived from Eurobarometer 101.4 (April-May 2024)- N = 9,562 employed respondents aged 18-65 across 28 European countries- Variables include AI exposure, digital skills, employer support, financial capability, life satisfaction, and daily life satisfaction CODE- Stata do-files for data preparation and OLS regressions- Python scripts for XGBoost validation and SHAP analysis ONLINE APPENDICES- Appendix A: Descriptive statistics and correlation matrices- Appendix B: Full 28-variable regression models and diagnostics- Appendix C: XGBoost feature importance and SHAP plots CONTACT Assistant Professor, PhDDr. Asad ul Islam KHANDepartment of Economics,School of Business,YBF 1.42, Ibn Haldun University, Başak Mah. Ordu Cad. F-05 Blok No:3 PK 34480 Başakşehir, Istanbul, Tü[e-mail], [e-mail]#: [phone] Ext.# 2208