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Cited by 347

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Substituting the End for the Whole: Why Voters Respond Primarily to the Election‐Year Economy

Open access
Healy, Andrew, Lenz, Gabriel S.·2014·American Journal of Political Science
DOI 10.1111/ajps.12053
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Abstract

According to numerous studies, the election‐year economy influences presidential election results far more than cumulative growth throughout the term. Here we describe a series of surveys and experiments that point to an intriguing explanation for this pattern that runs contrary to standard political science explanations, but one that accords with a large psychological literature. Voters, we find, actually intend to judge presidents on cumulative growth. However, since that characteristic is not readily available to them, voters inadvertently substitute election‐year performance because it is more easily accessible. This “end‐heuristic” explanation for voters’ election‐year emphasis reflects a general tendency for people to simplify retrospective assessments by substituting conditions at the end for the whole. The end‐heuristic explanation also suggests a remedy, a way to align voters’ actions with their intentions. Providing people with the attribute they are seeking—cumulative growth—eliminates the election‐year emphasis.

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Metadata

Authors
Healy, A., & Lenz, G. S.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2013-09-09
Volume
58
Issue
1
Pages
31-47
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
DOI
10.1111/ajps.12053
OpenAlex
W1531142403
Cited by
347
References
45
FWCI
129.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Substituting the End for the Whole: Why Voters Respond Primarily to the Election‐Year Economy. https://app.cochat.ai/papers/10.1111/ajps.12053
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Healy, A., & Lenz, G. S. (2014). Substituting the End for the Whole: Why Voters Respond Primarily to the Election‐Year Economy. American Journal of Political Science. https://doi.org/10.1111/ajps.12053

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

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