Just published the latest Causal Book chapter for data scientists.
Matching is controversial in diff-in-diff use cases, and for good reason. In this chapter, we review two studies to delve into the details and understand the optimal decision, which is arguably not to match the treatment and control groups at all.
Causal Book is an interactive resource for applying modern methods and tools to causal inference. It follows a nonlinear path, unlike a traditional book. Because of this unique structure, the new chapter doesn’t have data just yet (as the preceding chapters are still in progress), so expect an update down the road.