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A new tool for assessing workforce management policies over time [electronic resource] : extending the dynamic retention model / Beth Asch, Michael Mattock, James Hosek.

Summary:

The dynamic retention model (DRM) is a state-of-the-art modeling capability that supports decisionmaking about workforce management policy. The DRM can be applied in a wide variety of workforce contexts for a variety of compensation and personnel policies, though to date the focus has been on supporting military compensation decisions to sustain the all-volunteer force in the United States. While the DRM is an extremely powerful tool, a drawback in the use of the model to date is that it has focused on the steady state. That is, implementations of the model to date show only the retention and cost effects of alternative policies when the entire workforce is under the new policy versus when the workforce is under existing policy. The research presented in this report extends 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.

Electronic resources

Record details

  • ISBN: 0833081969
  • ISBN: 9780833081964
  • Physical Description: 1 online resource (xix, 73 pages) : color illustrations
  • Publisher: Santa Monica, CA : RAND, 2013.

Content descriptions

General Note:
"RAND National Defense Research Institute."
"This research was conducted within the Forces and Resources Policy Center of the RAND National Defense Research Institute"--Preface.
Bibliography, etc. Note:
Includes bibliographical references (pages 71-73).
Formatted Contents Note:
Introduction -- Extending the DRM to incorporate the transition period -- Application to military retirement reform -- Concluding thoughts -- Appendix: Additional model results related to retention effects.
Source of Description Note:
Print version.
Subject: United States > Armed Forces > Personnel management > Evaluation.
United States > Armed Forces > Personnel management > Mathematical models.