Delayed Entry Program (DEP) Attrition: A Microdata Model
Attrition from the Delayed Entry Program (DEP) is a continuing problem for the U.S. Army Recruiting Command. Previous research on DEP attrition has suffered from small sample size, systematic sample bias, and the omission of economic variables. This research builds on previous efforts, correcting th...
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Zusammenfassung: | Attrition from the Delayed Entry Program (DEP) is a continuing problem for the U.S. Army Recruiting Command. Previous research on DEP attrition has suffered from small sample size, systematic sample bias, and the omission of economic variables. This research builds on previous efforts, correcting their shortcomings. It uses a binary logistic regression approach to estimate the effects of personal characteristics, recruiting policies, and economic conditions on DEP loss. The estimates indicate that conditions and personal characteristics significantly influence DEP loss. We also find that recruiting policies variables, although small, have a significant impact. Keywords: Delayed entry program, Logistic regression, Attrition, Loss, Recruiting, Personnel policy, Manpower policy. |
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