Raw synthetic data files- Bergantino, Intini, Nademi - Bridging Mobility Gaps: How Transport Investments and Equity Policies Reduce Absolute Poverty

1. Raw synthetic data files for each spatial scale of analysis:
o regional.xlsx: Panel data for 20 Italian regions (core analysis).
o provincial.xlsx: Panel data for 107 Italian provinces (robustness checks).
o municipal.xlsx: Cross-sectional data for 7,917 Italian municipalities (robustness checks).
2. EViews workfiles containing the structured data and econometric specifications:
o regional.wf1: Main models for regional-level analysis (Tables 2, 3, and 4).
o provincial.wf1: Models for provincial-level robustness checks (Appendix B).
o municipal.wf1: Models for municipal-level robustness checks (Appendix C).
3. Python scripts for constructing Principal Component Analysis (PCA) indices:
o poverty.py: Generates the multidimensional transport poverty index.
o inequality.py: Generates the multidimensional transport inequality index.
o development.py: Generates the multidimensional transport development index.