Identification with sharp difference-in-discontinuities and discontinuity-in-differences
Year: 2026
Type: article
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.
Source: Applied Economics Letters
Author: Geert Goeyvaerts
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Funder: Fonds Wetenschappelijk Onderzoek
OpenAlex ID: W4410155487