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Cited by 320

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Estimating the Effect of Elite Communications on Public Opinion Using Instrumental Variables

Gabel, Matthew, Scheve, Kenneth·2007·American Journal of Political Science

Abstract

A central question in the study of democratic polities is the extent to which elite opinion about policy shapes public opinion. Estimating the impact of elites on mass opinion is difficult because of endogeneity, omitted variables, and measurement error. This article proposes an identification strategy for estimating the causal effect of elite messages on public support for European integration employing changes in political institutions as instrumental variables. We find that more negative elite messages about European integration do indeed decrease public support for Europe. Our analysis suggests that OLS estimates are biased, underestimating the magnitude of the effect of elite messages by 50%. We also find no evidence that this effect varies for more politically aware individuals, and our estimates are inconsistent with a mainstreaming effect in which political awareness increases support for Europe in those settings in which elites have a favorable consensus on the benefits of integration.

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Metadata

Authors
Gabel, M., & Scheve, K.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2007-10
Volume
51
Issue
4
Pages
1013-1028
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W2080289065
Cited by
320
References
42
FWCI
83.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating the Effect of Elite Communications on Public Opinion Using Instrumental Variables. https://app.cochat.ai/papers/10.1111/j.1540-5907.2007.00294.x
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Gabel, M., & Scheve, K. (2007). Estimating the Effect of Elite Communications on Public Opinion Using Instrumental Variables. American Journal of Political Science. https://doi.org/10.1111/j.1540-5907.2007.00294.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.