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Perspective-taking in capital punishment decisions

Published online by Cambridge University Press:  18 September 2025

Joseph S. Reiff*
Affiliation:
Robert H. Smith School of Business, University of Maryland, College Park, MD, USA
Aaron F. Rudkin
Affiliation:
Department of Political Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Scott E. Sundby
Affiliation:
University of Miami School of Law, University of Miami, Coral Gables, FL, USA
Hal E. Hershfield
Affiliation:
UCLA Anderson School of Management, University of California Los Angeles, Los Angeles, CA, USA
*
Corresponding author: Joseph S. Reiff; Email: jreiff1@umd.edu
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Abstract

Perspective-taking has been theorized to be a central psychological process in how people make punishment decisions. However, previous research has only tested theory in low-stakes or hypothetical contexts. The current research describes how jurors perspective-take in real capital punishment trials (N = 1,198) and tests a series of hypotheses from previous research in a high-stakes, naturalistic context. In examining the predictors of perspective-taking, we found that jurors are more likely to perspective-take for white victims than black victims, but not more likely to perspective-take if the trial participant is demographically similar to themselves. We further uncovered new findings that older jurors perspective-take less (regardless of whether it is for perpetrators or victims), and women perspective-take for victims more than men do. In examining how perspective-taking relates to capital punishment decisions, we found that jurors who take victims’ perspectives are more likely to vote for the death penalty. We found mixed support for the theory that jurors who take defendants’ perspectives are more lenient. We conclude by discussing the implications of our findings for legal arguments on the arbitrary and biased nature of capital punishment decisions.

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Type
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), 2025. Published by Cambridge University Press.
Figure 0

Table 1. Demographic composition of jurors and voting decisions

Figure 1

Table 2. Demographic composition of victims and defendants

Figure 2

Table 3. Perspective-taking questions

Figure 3

Table 4. Empirical support for main hypotheses

Figure 4

Figure 1. Whose perspectives get taken and who takes others’ perspectives. The top left panel displays how jurors’ perspective-taking for victims depends on victim demographics. The bottom left panel displays how jurors’ perspective-taking for defendants depends on defendant demographics. The right panel displays how jurors’ perspective-taking for victims (top) and defendants (bottom) depends on juror demographics. The black points reflect sample means and the error bars reflect 95% confidence intervals, with standard errors clustered by trial. The translucent blue points reflect each juror’s value, where darker areas reflect greater density in the distribution, marginalized over the entire sample. Note that the survey instrument only asked people whether they were male or female, limiting the ability to identify non-binary people in the data.

Figure 5

Figure 2. Perspective-taking and capital punishment decisions. The x-axis represents the difference in the likelihood of voting for a life sentence over the death penalty (e.g., jurors who imagined being like the defendant were 13 percentage points more likely to vote for a life sentence instead of the death penalty, compared to those who did not imagine themselves being like the defendant). All coefficients are estimated with linear probability regressions without additional covariates, with standard errors clustered by trial. The coefficients for the defendant and victim perspective-taking indices were estimated in the same regression. The defendant vs victim perspective-taking index coefficient reflects the difference in life voting between jurors who always perspective-take for defendants and never for victims, and jurors who always perspective-take for victims and never for defendants. The benchmark effects at the bottom of the graph show two seminal effects from prior research: the differences in life voting between (1) jurors who perceived that the defendant was remorseful and those who did not and (2) black and white jurors.

Figure 6

Figure 3. Defendant vs victim perspective-taking index and capital punishment decisions. The bottom panel shows the distribution of the defendant vs victim perspective-taking index. The top panel shows the relationship between the perspective-taking index and voting for life sentences. The black slope and gray band reflect the predicted values and 95% confidence intervals from a linear probability model with standard errors clustered by trial. Each black dot reflects the average proportion of people voting for life within one of four evenly spaced bins of the perspective-taking index (0–0.249, 0.25–0.499, 0.5–0.749 and 0.75–1). The error bars reflect 95% confidence intervals, using standard errors clustered by trial.

Figure 7

Figure 4. Specification curve on the relationship between the defendant vs victim perspective-taking index and final voting. The top panel includes the standardized coefficients, ordered by magnitude, from 32 regression specifications that each estimate the relationship between the defendant vs victim perspective-taking index and final voting. The bottom panel indicates what was included in each of the 32 specifications. Specifically, each specification is represented by a column that contains two ‘x’ marks; the upper ‘x’ indicates the covariates that were included in the model and the lower ‘x’ indicates whether the data excludes observations with missing values or imputes missing values. ‘Juror demographics’ (C1) include jurors’ race/ethnicity, age, gender, education, income and employment status; ‘Def. & victim demographics’ (C2) include victims’ race/ethnicity, age and gender; and defendants’ race/ethnicity, age and gender; ‘State’ (C3) refers to the location of the state where the trial took place; and ‘Agg. & Mit. Circumstances’ (C4) includes jurors’ perceptions of aggravating and mitigating circumstances. Confidence intervals account for clustering by trial. To interpret the plot, the first column’s estimate, for instance, is from a regression that controls for defendant and victim demographics, state and aggravating and mitigating circumstances; and uses data that excludes observations with missing values. The upward trend in the ‘x’ marks in the bottom panel reflects that the estimated coefficient generally attenuates as additional controls are added into the model.

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