C. E. Loeffler

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Can machine learning improve human decision making? Bail decisions provide a good test case. Millions of times each year, judges make jail-or-release decisions that hinge on a prediction of what a defendant would do if released. The concreteness of the prediction task combined with the volume of data available makes this a promising machine-learning(More)
One long-standing motivation for low-income housing programs is the possibility that housing affordability and housing conditions generate externalities, including on children’s behavior and long-term life outcomes. We take advantage of a randomized housing voucher lottery in Chicago in 1997 to examine the longterm impact of housing assistance on a wide(More)
In the last decade, a number of states have expanded the jurisdiction of their juvenile courts by increasing the maximum age of jurisdiction to eighteen. Proponents argue that these expansions reduce crime by increasing access to the beneficial features of the juvenile justice system. Critics counter that these expansions risk increasing crime by reducing(More)
Gun violence continues to be a staggering and seemingly intractable issue in many communities. The prevalence of gun violence among the sub-population of individuals under court-ordered community supervision provides an opportunity for intervention using remote monitoring technology. Existing monitoring systems rely heavily on location-based monitoring(More)
A sizable literature examines the effect of transferring the most serious and persistent juvenile arrestees from the juvenile justice system to the adult justice system. Few studies, however, have tested whether processing juveniles in the adult system has a similar effect on those who are not eligible for transfer. Recent legislative changes to the(More)
Recent empirical research has shown that juveniles do not achieve complete psycho-social maturity until post-adolescence and that processing juveniles as adults in the criminal justice system can be associated with elevated rates of criminal recidivism. In response to these as well as other concerns, a number of states have recently raised their legal ages(More)
One longstanding motivation for low-income housing programs is the possibility that housing affordability and housing conditions generate externalities, including on children’s behavior and long-term life outcomes. We take advantage of a randomized housing voucher lottery in Chicago in 1997 to examine the long-term impact of housing assistance on a wide(More)
We examine how machine learning can be used to improve and understand human decisionmaking. In particular, we focus on a decision that has important policy consequences. Millions of times each year, judges must decide where defendants will await trial—at home or in jail. By law, this decision hinges on the judge’s prediction of what the defendant would do(More)
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