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Simple and complex difference-in-differences approach

Elena Kotyrlo

Applied Econometrics2024https://doi.org/10.22394/1993-7601-2024-73-119-142article
ABDC C
Weight
0.39

What the paper says

The paper presents extensions of the popular difference‐in‐differences approach (DD) from 2×2 design on multiple time‐period, multiple groups, fuzzy DD, non‐staggered treatment and approaches to measure distributional treatment effect. The paper describes assumptions for consistent estimation of the treatment effect by two‐way fixed effects model (TWFE) and presents the problem leading to inconsistent estimates justifying the application of alternative estimators. The paper briefly introduces methods developing DD for multiple‐period multiple‐group cases based on TWFE and alternative approaches. The proposed techniques allow treatment evaluation in the frame of DD when canonical TWFE leads to inconsistent estimates. Some approaches allow replacement of the well‐known parallel trend assumption (PTA) for a conditional PTA or time randomisation. The paper refers to implementations of these methods in Stata and R. Simulation modelling demonstrates that the stated properties of the alternative estimators are not always reliable.

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https://doi.org/https://doi.org/10.22394/1993-7601-2024-73-119-142

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@article{elena2024,
  title        = {{Simple and complex difference-in-differences approach}},
  author       = {Elena Kotyrlo},
  journal      = {Applied Econometrics},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.22394/1993-7601-2024-73-119-142},
}

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Evidence weight

0.39

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.22 × 0.4 = 0.09
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.