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Bounding the Effect of Persuasion with Monotonicity Assumptions: Reassessing the Impact of TV Debates

Sung Jae Jun, Sokbae Lee

arXiv 8 Mar 2025 · Econometrics · publishedThe Review of Economics and Statistics (2026)

arXiv:2503.06046 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Televised debates between presidential candidates are often regarded as the exemplar of persuasive communication. Yet, recent evidence from Le Pennec and Pons (2023) indicates that they may not sway voters as strongly as popular belief suggests. We revisit their findings through the lens of the persuasion rate and introduce a robust framework that does not require exogenous treatment, parallel trends, or credible instruments. Instead, we leverage plausible monotonicity assumptions to partially identify the persuasion rate and related parameters. Our results reaffirm that the sharp upper bounds on the persuasive effects of TV debates remain modest.

Citation extraction

31
references
75
in-text mentions
31
distinct cited
4
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6,590
main-text words

appendix boundary found by appendix_titled_section at “Appendix” · 54% of the source is main text. Read the extracted text to check this.

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
1Manski, Charles F and John V Pepper (2000) Monotone instrumental variables: With an application to the returns to schooling1.00053100%
2Jun, Sung Jae and Sokbae Lee (2023) Identifying the effect of persuasion self0.9568588%
3Jun, 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… self0.9416483%
4Pearl, Judea (1999) Probabilities of causation: three counterfactual interpretations and their identification0.87452100%
5DellaVigna, Stefano and Ethan Kaplan (2007) The Fox News effect: Media bias and voting0.84333100%
6DellaVigna, Stefano and Matthew Gentzkow (2010) Persuasion: empirical evidence0.84333100%
7Le Pennec, Caroline and Vincent Pons (2023) How do Campaigns Shape Vote Choice? Multicountry Evidence from 62 Elections and 56 TV Debates0.7375340%
8Stoye, Jörg (2009) More on Confidence Regions for Partially Identified Parameters0.7374275%
9Tian, Jin and Judea Pearl (2000) Probabilities of causation: Bounds and identification0.7374275%
10Possebom, Vitor and Flavio Riva (2025) Probability of Causation with Sample Selection: A Reanalysis of the Impacts of Jóvenes en Acción on Formality0.7373367%

Showing the top 10 of 31 scored citations.