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Recent recruiting trends and their implications for models of enlistment supply

저자: 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.
출판사: Santa Monica, CA : RAND, ©1999.
판/형식:   전자도서 : 영어모든 판과 형식 보기
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요약:
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  더 읽기…
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장르/형태: Electronic books
추가적인 물리적 형식: Print version:
Murray, Michael P., 1946-
Recent recruiting trends and their implications for models of enlistment supply.
Santa Monica, CA : RAND, c1999
자료 유형: 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: 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 번호: 44962968
메모: "Prepared for the Office of the Secretary of Defense and the U.S. Army."
설명: 1 online resource (xiii, 83 p.)
내용: 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.
책임: Michael P. Murray, Laurie L. McDonald.

초록:

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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