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Persuasion Effects in Regression Discontinuity Designs

Sung Jae Jun, Sokbae Lee

arXiv 30 Sep 2025 · Econometrics

arXiv:2509.26517 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We develop a framework for identifying and estimating persuasion effects in regression discontinuity (RD) designs. The RD persuasion rate measures the probability that individuals at the threshold would take the action if exposed to a persuasive message, given that they would not take the action without exposure. We present identification results for both sharp and fuzzy RD designs, derive sharp bounds under various data scenarios, and extend the analysis to local compliers. Estimation and inference rely on local polynomial regression, enabling straightforward implementation with standard RD tools. Applications to public health and media illustrate its empirical relevance.

Citation extraction

42
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76
in-text mentions
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Jun, Sung Jae and Sokbae Lee (2023) Identifying the effect of persuasion self1.00085100%
2Brehm, Paul and Martin Saavedra (2025) Vaccines and Verdicts: How Smallpox Court Decisions Affect Anti-Vaccine Discourse and Mortality0.87492100%
3Barone, Guglielmo, Francesco D'Acunto, and Gaia Narciso (2015) Telecracy: Testing for channels of persuasion0.87482100%
4DellaVigna, Stefano and Ethan Kaplan (2007) The Fox News effect: Media bias and voting0.81142100%
5DellaVigna, Stefano and Matthew Gentzkow (2010) Persuasion: empirical evidence0.73732100%
6Stoye, Jörg (2009) More on Confidence Regions for Partially Identified Parameters0.64422100%
7Calonico, Sebastian, Matias D. Cattaneo, and Rocio Titiunik (2014) Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs0.64422100%
8Calonico, Sebastian, Matias D. Cattaneo, Max H. Farrell, and Rocio T… (2017) rdrobust: Software for Regression Discontinuity Designs0.64422100%
9Hahn, Jinyong, Petra Todd, and Wilbert Van der Klaauw (2001) Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design0.64422100%
10Jun, Sung Jae and Sokbae Lee (2024) b): Learning the Effect of Persuasion via Difference-In-Differences, ArXiv:2410.14871, available at https://arxiv.org/abs/2410.1… self0.64422100%

Showing the top 10 of 42 scored citations.