Econometric analysis of the WHO Global Health Expenditure Database for Zimbabwe, framing public health finance anomalies as formal statistical hypotheses.
# Structural Break and Elasticity Analysis: Zimbabwe Health Financing Framework
A rigorous, hypothesis-driven analytical framework mapping the structural durability of health sector financing in Zimbabwe across macroeconomic transitions (2005–2024).
## 🚀 Executive Metric Dashboard
| Target Analytical Question | Quantitative Methodology | Validated Output Target | Strategic Policy Takeaway |
| :--- | :--- | :--- | :--- |
| **Q1 · The Denominator Illusion** | Pearson Alignment Check | $r = 0.74$ | GDP percentages mask absolute procurement power collapses. |
| **Q2 · Abuja Declaration Metric** | One-Sample $t$-test Engine | Met 0 / 14 Years | System operates at a chronic, statistically significant budget gap. |
| **Q3 · Shock Transference Layer** | Multi-Variable Correlation | Dynamic Cointegration | Drops in international donor assistance pass directly onto households. |
| **Q4 · Structural Privatisation** | OLS Linear Vector Modeling | Significant Positive Slope | Public sector fallback is creating a system driven by private out-of-pocket costs. |
| **Q5 · System Resiliency Pace** | Interrupted Time Series (ITS) | Break Recovery: $+\$3.34/\text{year}$ | Fragile structural rebound operating from a permanently baseline shift. |
## 🛠️ Reproducibility Pipeline
The code is self-contained within an optimized dark-themed configuration. To replicate the visualization dashboard locally:
1. Clone the workspace files via browser download.
2. Ensure your local environment has `pandas`, `scipy`, and `matplotlib` enabled.