Difference-in-differences with as few as two cross-sectional units -- A new perspective to the democracy-growth debate
仅需两个截面单位的双重差分:民主与增长的新视角
Pooled panel analyses often mask heterogeneity in unit-specific treatment effects. This challenge, for example, crops up in studies of the impact of democracy on economic growth, where findings vary substantially due to differences in country composition. To address this challenge, this paper introduces the Temporal Difference-in-Differences (T-DiD) estimator that leverages temporal variation in the data to estimate unit-specific average treatment effects on the treated…