The social and economic impact of the Montreal Longitudinal and Experimental Study.

  • Published In: Criminal Behaviour & Mental Health, 2023, v. 33, n. 2. P. 116 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Vanzella‐Yang, Adam; Algan, Yann; Beasley, Elizabeth; Côté, Sylvana; Vitaro, Frank; Tremblay, Richard E.; Park, Jungwee 3 of 3

Abstract

Background: The effectiveness of early prevention programmes and their viability as a public policy option have increasingly caught the attention of scholars and policymakers. Given the implementation costs of such programmes, it is important to assess whether they achieved anticipated objectives and whether they made efficient use of taxpayer money. Aim: To discuss the social and economic impact of a 2‐year randomised intervention aimed to improve social skills and self‐control (i.e., non‐cognitive skills) among disruptive boys from low‐income neighbourhoods in Montreal. Method: We review findings from published studies documenting the impact of the intervention at different stages of the life course, as well as its cost‐effectiveness and cost‐benefit. Results: The intervention improved behavioural indicators throughout adolescence and eventually led to greater high school graduation rates, reduced crime, and better labour market outcomes in adulthood. Importantly, the prevention programme generated considerable returns to taxpayer investments. Conclusion: Findings from the Montreal Longitudinal Experimental Study have been well‐received and have contributed to an early prevention 'awakening' in Quebec and elsewhere. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Criminal Behaviour & Mental Health. 2023/04, Vol. 33, Issue 2, p116
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2023
  • ISSN:0957-9664
  • DOI:10.1002/cbm.2278
  • Accession Number:162842368
  • Copyright Statement:Copyright of Criminal Behaviour & Mental Health is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.