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Constitutional Recency and Support for Judicial Review

Published online by Cambridge University Press:  13 December 2024

Adam R. Brown
Affiliation:
Brigham Young University, Political Science Department, Provo, UT, USA
Christopher N. Krewson*
Affiliation:
Brigham Young University, Political Science Department, Provo, UT, USA
*
Corresponding author: Christopher N. Krewson; Email: chris_krewson@byu.edu
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Abstract

Under what conditions are people more likely to support judicial invalidation of legislative acts? We theorize that constitutional recency confers greater democratic legitimacy on constitutional provisions, reducing concerns that judges may use dated language to impose their own will on a living majority. Exploiting differences among US state constitutions, we show in a pre-registered vignette experiment and conjoint analysis that Americans are more supportive of judicial review and original intent interpretation when presented with a younger constitutional provision or constitution. These results imply that Americans might alter their approach to the US Constitution if it were changed as easily and as often as a typical state constitution.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of the Law and Courts Organized Section of the American Political Science Association
Figure 0

Figure 1. Illustration from Instrument.

Figure 1

Figure 2. Results of Vignette Experiment.

Figure 2

Figure 3. Overall Support for Dependent Variables, Comparing US Versus State Constitutions.

Figure 3

Figure 4. Support for Judicial Invalidation (Estimated Marginal Means).

Figure 4

Figure 5. Support for Living or Original Interpretation (Estimated Marginal Means).

Supplementary material: File

Brown and Krewson supplementary material

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