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.
All Science Journal Classification (ASJC) codes
- Geography, Planning and Development
- Economics and Econometrics
- Strategy and Management
- Statistics, Probability and Uncertainty
- Management Science and Operations Research