Prioritization Tool - Selection Threshold Estimation

Preliminary Analysis for Minimum Selection Threshold Estimation

This analysis serves as an initial step toward estimating a minimum selection threshold. It highlights the vulnerability levels based on the MPC scorecard by examining the vulnerability scores of households (HHs) registered by three partners across 23 locations.

• Vulnerability Score Summary.
• Weighting Vulnerability Groups
• Comparison of Vulnerability Scores Across Locations
• Practical Application

Summary

Vulnerability Groups

Comparing

• The average vulnerability scores by location range between (9) and (13.7). While the overall average for all data is 11.9

• The plot indicates that candidate households (HHs) from district centers have a statistically significantly higher average vulnerability score compared to other community types. Conversely, the initial list from sub-district centers shows a lower vulnerability score. However, this difference is practically negligible, as the average vulnerability scores by community type range between 11 and 12.4. This consideration also accounts for potential biases in data collection.

Overall Average as selection Threshold

Setting the selection threshold to the overall average implies that the expected proportion of targeted households will be 50% of the total registered households.

In fact, not necessarily. This discrepancy arises due to varying levels of vulnerability (vulnerability scores) among targeted communities. One advantage of defining a minimum selection threshold is that it ensures fairness in selection across all families, regardless of their community or the partner targeting them.

Relationship

The data showed that there is a negative relationship between the vulnerability score average and the number of registered HHs in the locations. Whereas the plot shows the locations that have a higher vulnerability average, the number of registered HHs within was lower

Practical Application