Identification with sharp difference-in-discontinuities and discontinuity-in-differences

This note revisits identification for difference-in-discontinuities (DIDISC) and discontinuity-indifferences (DISCID) when treatment assignment is sharp. I show that both estimands equal the average treatment effect at the cutoff (ATC) under two assumptions. The first assumption is the continuous trends assumption. The second assumption is no anticipation at the cutoff.

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Publication Details

Journal
Applied Economics Letters
Published
2026-08-20
DOI
https://doi.org/10.1080/13504851.2026.2721552
Primary Topic
Control Systems and Identification
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification with sharp difference-in-discontinuities and discontinuity-in-differences

Geert Goeyvaerts
Applied Economics Letters
Control Systems and Identification
article

Identification with sharp difference-in-discontinuities and discontinuity-in-differences

Geert Goeyvaerts
article en

Abstract

This note revisits identification for difference-in-discontinuities (DIDISC) and discontinuity-indifferences (DISCID) when treatment assignment is sharp. I show that both estimands equal the average treatment effect at the cutoff (ATC) under two assumptions. The first assumption is the continuous trends assumption. The second assumption is no anticipation at the cutoff.

Applied Economics Letters
Fonds Wetenschappelijk Onderzoek
Reduced inequalities
Openalex Percentile: Top 99%
Control Systems and Identification
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Identification with sharp difference-in-discontinuities and discontinuity-in-differences — Geert Goeyvaerts · Applied Economics Letters (2026) | TGRS Research Map | TGRS