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1.
PNAS Nexus ; 2(5): pgad058, 2023 May.
Artigo em Inglês | MEDLINE | ID: mdl-37152677

RESUMO

Individuals regularly struggle to save for retirement. Using a large-scale field experiment ( N = 97 , 149 ) in Mexico, we test the effectiveness of several behavioral interventions relative to existing policy and each other geared toward improving voluntary retirement savings contributions. We find that an intervention framing savings as a way to secure one's family future significantly improves contribution rates. We leverage recursive partitioning techniques and identify that the overall positive treatment effect masks subpopulations where the treatment is even more effective and other groups where the treatment has a significant negative effect, decreasing contribution rates. Accounting for this variation is significant for theoretical and policy development as well as firm profitability. Our work also provides a methodological framework for how to better design, scale, and deploy behavioral interventions to maximize their effectiveness.

2.
Science ; 370(6517)2020 11 06.
Artigo em Inglês | MEDLINE | ID: mdl-33033154

RESUMO

Each year, millions of Americans fail to appear in court for low-level offenses, and warrants are then issued for their arrest. In two field studies in New York City, we make critical information salient by redesigning the summons form and providing text message reminders. These interventions reduce failures to appear by 13 to 21% and lead to 30,000 fewer arrest warrants over a 3-year period. In laboratory experiments, we find that whereas criminal justice professionals see failures to appear as relatively unintentional, laypeople believe they are more intentional. These lay beliefs reduce support for policies that make court information salient and increase support for punishment. Our findings suggest that criminal justice policies can be made more effective and humane by anticipating human error in unintentional offenses.


Assuntos
Comportamento de Ajuda , Aplicação da Lei , Responsabilidade Legal , Adulto , Feminino , Humanos , Masculino
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