A government entity in the economic sector
Project Background and Key Objectives
As part of national efforts to ensure fairness and efficiency in social support programs, a critical need emerged for a rigorous, evidence-based review of the simulation mechanisms used to determine beneficiary eligibility. The objective was not only to disburse support, but to ensure data accuracy, model effectiveness, and equitable distribution.
The Challenge:
- Variability in the quality of beneficiary data, affecting eligibility fairness.
- Difficulty predicting the impact of different support scenarios on social groups.
- Limited indicators used to measure policy efficiency and effectiveness.
Methodology Applied
The Hawaz team worked with the entity to:
- Conduct a comprehensive analysis of data for millions of beneficiaries, including errors resulting from income data entry.
- Design multi-scenario simulation models using real data.
- Develop new measurement indicators based on income distribution, number of households covered, and data quality.
- Prepare corrective recommendations to improve the accuracy of eligibility criteria.
- Deliver detailed reports illustrating the direct and indirect impact of each scenario.
Project Impact
- Identifying and addressing patterns of inaccurate data.
- Improving the accuracy of eligibility simulations across different social groups.
- Supporting decision-makers in selecting the optimal model based on impact and cost.
- Enhancing system flexibility to efficiently adapt to economic changes.
