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Journal ArticleDOI

Earnings, Unemployment, and the Supply of Enlisted Volunteers.

Stuart H. Altman
- 01 Jan 1969 - 
- Vol. 4, Iss: 1, pp 38-59
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TLDR
In this paper, an attempt is made to measure the likely impact on new enlistments of raising military pay by estimating the extent to which regional enlistments have varied in relation to relative military to civilian earnings.
Abstract
If the draft is to be eliminated and an all-volunteer system substituted in its place, it is essential that the military be able to recruit additional personnel through higher pay. In this study an attempt is made to measure the likely impact on new enlistments of raising military pay by estimating the extent to which regional enlistments have varied in relation to relative military to civilian earnings. A cross-section supply model was estimated using actual with-draft enlistment experience and estimates of the enlistment rates that would have prevailed without a draft. The supply elasticities derived in the paper tend to support the conclusion that volunteers could be attracted to active duty by raising military pay, but that the larger the proportion of the eligible population in military service, the more expensive it would become to recruit additional manpower.

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The Determinants of Teacher Supply

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An Econometric Study of Recruitment Marketing in the U.S. Navy

TL;DR: In this paper, the authors investigated the effectiveness of advertising and personal selling within the general framework of the recruiting environment, using insights into the recruiting process, provided by the Navy Recruiting Command, along with principles of economics and marketing to develop an econometric model of recruiting performance.
Posted Content

The Role of Economists in Ending the Draft

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Journal ArticleDOI

Forecasting the supply of construction skills in the UK

TL;DR: In this paper, an aggregate supply model for craft trainee entrants to the UK construction sector using annual data for the period 1976-1990 was presented for the purpose of estimating the proportion of school-leavers choosing to train as construction operatives.
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