Quantitative Economics

Journal Of The Econometric Society

Edited by: Stéphane Bonhomme • Print ISSN: 1759-7323 • Online ISSN: 1759-7331

Quantitative Economics: Jul, 2018, Volume 9, Issue 2

When does regression discontinuity design work? Evidence from random election outcomes

Ari Hyytinen, Jaakko Meriläinen, Tuukka Saarimaa, Otto Toivanen, Janne Tukiainen

We use elections data in which a large number of ties in vote counts between candidates are resolved via a lottery to study the personal incumbency advantage. We benchmark non‐experimental regression discontinuity design (RDD) estimates against the estimate produced by this experiment that takes place exactly at the cutoff. The experimental estimate suggests that there is no personal incumbency advantage. In contrast, conventional local polynomial RDD estimates suggest a moderate and statistically significant effect. Bias‐corrected RDD estimates that apply robust inference are, however, in line with the experimental estimate. Therefore, state‐of‐the‐art implementation of RDD can meet the replication standard in the context of close elections.

Close elections experiment incumbency advantage regression discontinuity design C21 C52 D72

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Supplement to "When Does Regression Discontinuity Design Work? Evidence from Random Election Outcomes"

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