Quantitative Models for Cause Selection

Quantitative models can help us determine which interventions to support. However, naïve cost-effectiveness estimates have big problems. In particular:

1. They don’t give stronger consideration to more robust estimates.
2. They don’t always account for all relevant factors.

In this sequence, I present and analyze several models for cause selection.