We evaluate the impacts of adopting algorithmic predictions of future offending (risk assessments) as an aid to judicial discretion in felony sentencing. We find that judges' decisions are influenced by the risk score, leading to longer sentences for defendants with higher scores and shorter...

We examine the microeconomics of using algorithms to nudge decision-makers towards particular social outcomes. We refer to this as "algorithmic social engineering." In this article, we apply classic strategic communication models to this strategy. Manipulating predictions to express policy...

This Article seeks to provide the most comprehensive national-level empirical analysis of misdemeanor criminal justice that is currently feasible given the state of data collection in the United States. First, we estimate that there are 13.2 million misdemeanor cases filed in the United States...

In this brief note I propose a condition called “conditional average monotonicity” that extends the average monotonicity condition from Frandsen et al. (2023) to a setting in which the instrument is only exogenous conditional on covariates. I lean on a proof from Blandhol et al. (2022) to...

Recent years have seen a rush toward evidence-based tools in criminal justice. As part of this movement, many jurisdictions have adopted actuarial risk assessment to supplement or replace the ad-hoc decisions of judges. Proponents of risk assessment tools claim that they can dramatically reduce...

We evaluate the impacts of adopting algorithmic predictions of future offending (risk assessments) as an aid to judicial discretion in felony sentencing. We find that judges' decisions are influenced by the risk score, leading to longer sentences for defendants with higher scores and shorter...

As criminal justice actors increasingly seek to rely on more evidence-informed practices, including risk assessment instruments, they often lack adequate information about the evidence that informed the development of the practice or the tool. Open science practices, including making scientific...

We evaluate the impacts of adopting algorithmic predictions of future offending (risk assessments) as an aid to judicial discretion in felony sentencing. We find that judges' decisions are influenced by the risk score, leading to longer sentences for defendants with higher scores and shorter...

We evaluate the impacts of adopting algorithmic predictions of future offending (risk assessments) as an aid to judicial discretion in felony sentencing. We find that judges' decisions are influenced by the risk score, leading to longer sentences for defendants with higher scores and shorter...