Replication Package: Institutional Change, Political Feasibility, and Reform Sustainability

This replication package contains all data, code, documentation, and supplementary material necessary to reproduce the empirical results, figures, and tables presented in the paper: "Institutional Change, Political Feasibility, and Reform Sustainability: A Dynamic Framework" --- PACKAGE CONTENTS 1. DATA:   - master_panel_normalized_final.csv: Quarterly panel dataset (1990Q1-2023Q4) for Denmark, Tunisia, Egypt, and Nigeria   - Variables: Governance Capacity, GDP Growth, Trust Index, Reform Support, Erosion, Resistance, Coalition Size, Elite Consultation, Trade Union Density, Unemployment Rate, Inflation Rate 2. CODE (Python 3.9+):   - 01_data_preparation.py: Loads and prepares the panel dataset   - 02_model_estimation.py: Estimates Tables 1 (Threshold Regression) and 2 (Regime-Switching Interaction Model)   - 03_simulation.py: Generates Table 6.4 (Reform Sustainability)   - 04_figures_main.py: Generates Figures 1-8   - 05_figures_supplementary.py: Generates Supplementary Figures SM-E.1 to SM-E.4   - utils/config.py: Shared configuration   - utils/helpers.py: Shared utility functions 3. OUTPUTS:   - outputs_Figures/main/: Figures 1-8 (PNG)   - outputs_Figures/supplementary/: Figures SM-E.1 to SM-E.4   - Tables 1, 2, and 6.4 (CSV format) 4. SUPPLEMENTARY MATERIAL:   - ONLINE_SUPPLEMENTARY_MATERIAL.pdf: Full micro-foundations, formal propositions, proofs, bidirectional feedback analysis, and robustness checks (Sections SM-A to SM-G) 5. DOCUMENTATION:   - README.md: Complete instructions with crosswalk   - LICENSE.txt: MIT License   - requirements.txt: Python package dependencies   - environment.yml: Conda environment specification --- KEY RESULTS REPLICATED - Threshold (γ*) = 0.451 (Hansen F-statistic = 44.23, p < 0.001)- Low-capacity regime (N = 313): D_Gov_Lag1 = 0.0865**, D_GDP_Growth = 0.0459*, D_Erosion = 0.0482*, D_Resistance = 0.0388*- High-capacity regime (N = 219): D_Erosion = -0.1183***- Regime-switching interaction model: R² = 0.789, LR = 44.23*** --- SOFTWARE REQUIREMENTS - Python 3.9+- Packages: numpy (≥1.24.0), pandas (≥2.0.0), scipy (≥1.10.0), statsmodels (≥0.14.0), matplotlib (≥3.7.0), seaborn (≥0.12.0) --- INSTRUCTIONS 1. Install dependencies: pip install -r requirements.txt2. Run scripts in numerical order from the Scripts/ folder Detailed instructions, crosswalk, and expected outputs are provided in the README.md file. --- LICENSE MIT License. See LICENSE.txt for details.