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Evaluation and monitoring of community youth prevention programs using a robust productivity index

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  • Lee, Yooneun
  • Prabhu, Vittaldas

Abstract

Evidence-based prevention and intervention programs for youth behavioral and mental problems have been implemented by many local community program providers. Due to the differences among communities in resource availability and the demand for services, however, policymakers and program practitioners require ways of measuring organizational efficiency in terms of resource commitment and improvement in individual outcomes. In this paper, we propose a robust productivity index for monitoring managerial performance and detecting exceptions in dynamic environments. Robust productivity bounds are constructed to identify innovators who make a technical shift. The approach is illustrated with panel data on youth outcomes from a selected multi-site community prevention program between the fiscal years 2010 and 2015. The results suggest that our approach not only permits classification of the innovators, but also recognizes patterns of change in productivity.

Suggested Citation

  • Lee, Yooneun & Prabhu, Vittaldas, 2019. "Evaluation and monitoring of community youth prevention programs using a robust productivity index," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:soceps:v:68:y:2019:i:c:s0038012117300277
    DOI: 10.1016/j.seps.2018.04.003
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    Cited by:

    1. Adebanji, Atinuke & Rios Insua, David & Ruggeri, Fabrizio, 2022. "Dynamic linear models for policy monitoring. The case of maternal and neonatal mortality in Ghana," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).

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