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Recent recruiting trends and their implications for models of enlistment supply

著者: Michael P Murray; United States. Department of Defense. Office of the Secretary of Defense.; United States. Army.; National Defense Research Institute (U.S.); Rand Corporation.
出版商: Santa Monica, CA : RAND, ©1999.
版本/格式:   电子图书 : 英语查看所有的版本和格式
数据库:WorldCat
提要:
The authors estimate an econometric model of high-quality enlistment supply using geographically disaggregated data from two periods, FY83-87 and FY90-93. They find that econometric models based on data from the earlier period do not predict the recruiting difficulties reported by the military in the 1990s. This conforms to a preliminary assessment provided by Asch and Orvis (MR-549-A/OSD, 1994). The authors also  再读一些...
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类型/形式: Electronic books
附加的形体格式: Print version:
Murray, Michael P., 1946-
Recent recruiting trends and their implications for models of enlistment supply.
Santa Monica, CA : RAND, c1999
材料类型: 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Michael P Murray; United States. Department of Defense. Office of the Secretary of Defense.; United States. Army.; National Defense Research Institute (U.S.); Rand Corporation.
ISBN: 0585220581 9780585220581 9780833025692 0833025694
OCLC号码: 44962968
注意: "Prepared for the Office of the Secretary of Defense and the U.S. Army."
描述: 1 online resource (xiii, 83 p.)
内容: Figures vii --
Tables ix --
Chapter 2 Variables Influencing Enlistment Supply 7 --
Chapter 3 The Econometric Models 21 --
Chapter 4 Empirical Results 31 --
Chapter 5 Conclusions and Recommendations 51.
责任: Michael P. Murray, Laurie L. McDonald.

摘要:

The authors estimate an econometric model of high-quality enlistment supply using geographically disaggregated data from two periods, FY83-87 and FY90-93. They find that econometric models based on data from the earlier period do not predict the recruiting difficulties reported by the military in the 1990s. This conforms to a preliminary assessment provided by Asch and Orvis (MR-549-A/OSD, 1994). The authors also find that econometric models estimated with the 1990s data give altered counsel about the effects of at least some policy variables, most notably the number of recruiters.

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