Hostname: page-component-89b8bd64d-x2lbr Total loading time: 0 Render date: 2026-05-08T02:18:13.502Z Has data issue: false hasContentIssue false

New Data on Court Curbing by State Legislatures

Published online by Cambridge University Press:  16 May 2022

Meghan E. Leonard*
Affiliation:
Department of Politics and Government, Illinois State University, Normal, IL, USA
Rights & Permissions [Opens in a new window]

Abstract

The examination of the interaction between the institutions in American state politics has long suffered from a dearth of data. This is the case despite the importance of understanding the separation of powers in the states and the specific effects on policy making and policy outcomes. In this article, I introduce a new, original dataset of court-curbing introductions by state legislators. The data include information on more than 1,200 state legislative bills that would restrict the power of the courts. In this article, I provide descriptive statistics for the data, employ the data to test hypotheses, and explain how this data may be used in future scholarly research on the interactions between state legislators and state courts.

Information

Type
Original 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), 2022. Published by Cambridge University Press and State Politics & Policy Quarterly
Figure 0

Figure 1. Court-curbing bills per state.

Figure 1

Table 1. Descriptive statistics on court curbing by state legislatures

Figure 2

Figure 2. Court-curbing bills by year.

Figure 3

Figure 3. Introductions by methods of selection.

Figure 4

Figure 4. Progress of court-curbing introductions.

Figure 5

Table 2. Sequential logit: Progress of court-curbing legislation

Figure 6

Figure 5. Change in predicted probability of each outcome: Member of judiciary committee (ordinal logistic regression).

Supplementary material: Link

Leonard Dataset

Link
Supplementary material: File

Leonard supplementary material

Leonard supplementary material

Download Leonard supplementary material(File)
File 28 KB