Tiêu đề 9.11. Assumptions in Matching.pdf ✅

pacmann.io © 2022 – Pacmann AI 112 Assumptions in Matching
pacmann.io © 2022 – Pacmann AI 113 Assumptions in Matching ● Matching, like any statistical method, relies on certain assumptions. ● Matching can relax some assumptions, like linearity (unless we’re using a regression to estimate a propensity score). However, it is not assumption-free. ● The assumptions on matching: ○ Conditional Independence Assumption ○ Common Support ○ Balance
pacmann.io © 2022 – Pacmann AI 114 1. Conditional Independence Assumption ● The conditional independence assumption is a key assumption in matching. ● It states that the chosen set of matching variables is sufficient to close all back doors and account for the relationship between treatment and outcome.
pacmann.io © 2022 – Pacmann AI 115 2. Common Support Assumption ● Matching relies on the assumption of common support, which means there must be suitable control observations to match with the treated group. ● Common support refers to substantial overlap in the distributions of the matching variables or propensity scores between the treated and control groups.