Replication Package for ''State Captation: The Political Economy of Elite-Driven Democratic Hollowing''

Zenodo Descriptions (Anonymized) Overall Deposit Description Title: Replication Package: "State Captation: The Political Economy of Elite-Driven Democratic Hollowing" Authors: [Anonymous for peer review] Description: This deposit contains all supplementary materials, replication code, and documentation for the manuscript "State Captation: The Political Economy of Elite-Driven Democratic Hollowing," currently under review. The package includes Python code to reproduce all figures from the main text and appendix, complete supplementary materials with proofs and extended case studies, and detailed replication instructions. All files are anonymized for peer review. Contents: 1. code/ – Python scripts for figure generation 2. supplementary_materials.pdf – Complete supplementary materials (proofs, calibrations, extended cases) 3. README.md – Detailed replication instructions 4. requirements.txt – Python package dependencies Software Requirements: Python 3.8 or higher with packages: numpy, matplotlib, seaborn, pandas, scipy, networkx License: MIT License README.md File Description Title: README.md – Replication Instructions Description: This file provides comprehensive instructions for replicating all figures and analyses in the manuscript. It includes system requirements and dependencies, step-by-step execution instructions for Windows, Mac, and Linux, troubleshooting guidance, and expected outputs. This is a Markdown file that can be opened in any text editor or viewed directly on GitHub and Zenodo. generate_figures.py File Description Title: generate_figures.py – Main Replication Script Description: This Python script generates all figures appearing in the manuscript: Main text: Figures 1, 2, 3, 4, 5 Appendix: Figures A1, A2, A3, A4, A5 The script implements the dynamic system specified in Appendix A.1 of the manuscript and reproduces all simulations reported in the paper. All random seeds are fixed for exact reproducibility. When executed, the script creates a figures/ directory containing all figures in both PNG (for viewing) and PDF (for publication) formats. supplementary_materials.pdf File Description Title: supplementary_materials.pdf – Extended Technical Appendix Description: This document contains the complete supplementary materials accompanying the manuscript. It provides the technical foundation for the paper's theoretical and empirical claims. Contents: SM.1: Complete formal model specification SM.2: Full proofs of all propositions SM.3: Extended parameter calibration and sensitivity analysis SM.4: Full network adjacency matrices and centrality measures SM.5: Extended case materials (Tunisia, Sri Lanka, Peru) SM.6: Extended counterfactual simulations and policy analysis SM.7: Additional supplementary figures SM.8: Replication code and data availability All sections are referenced in the main text and provide essential technical depth for interested readers. requirements.txt File Description Title: requirements.txt – Python Dependencies Description: This file lists all Python packages required to run the replication code. To install all dependencies: text pip install -r requirements.txt Contents: 1. numpy>=1.21.0 2. matplotlib>=3.4.0 3. seaborn>=0.11.0 4. pandas>=1.3.0 5. scipy>=1.7.0 6. networkx>=2.6.0 Summary of Files File Name Purpose generate_figures.py Main Python script to generate all figures supplementary_materials.pdf Extended technical appendix with proofs and case materials README.md Detailed replication instructions requirements.txt List of Python package dependencies All files are fully anonymized and ready for peer review. For questions regarding this replication package, please contact the corresponding author through the journal submission system.