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:
- They don’t give stronger consideration to more robust estimates.
- They don’t always account for all relevant factors.
In this sequence, I present and analyze several models for cause selection.