This report discusses the dynamic retention model (DRM), “a state-of-the-art modeling capability that supports decisionmaking about workforce management policy” (p.iii). The DRM is a statistical model that has primarily been used to support military compensation decisions; however, as the authors of this report discuss, the model can be used in workforce contexts to predict various compensation and personnel policies.
The research in this report addresses the model’s previous gaps, and “extends the DRM to allow simulations of the effects of alternative policies both in the steady state and in the transition to the steady state. It also shows the effects of alternative implementation strategies and how different policies can affect how quickly the population and costs move toward the new steady state” (p.iii).
“The research should be of interest not only to the research community concerned with models to support workforce management but also to decisionmakers concerned about how to assess the short- and long-term effects of workforce management policies” (p.iii).
(Abstractor: Author and Website Staff)Full Publication Title: A New Tool for Assessing Workforce Management Policies Over Time: Extending the Dynamic Retention Model