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Keeping a learned society young

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Article and its Citations
 

Herbert Dawid
Gustav Feichtinger
Joshua R. Goldstein
Vladimir M. Veliov

 
VOLUME 20 - ARTICLE 22
PAGES 541 - 558
Date Received: 16 Nov 2007
Date Published: 20 May 2009

http://www.demographic-research.org/volumes/vol20/22/

doi:10.4054/DemRes.2009.20.22
   
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Abstract
Aging organizations - regardless of whether they are firms, faculties, societies, political bodies, teams, or national academies - seek ways to rejuvenate. This paper demonstrates that the best way to keep an organization young is through a mixed strategy of recruiting both young and old, and that, contrary to intuition, recruiting those of middle age is the least effective strategy for maintaining a younger age structure. The aging of learned societies is a problem in many national academies. Faced with rising life expectancy, particularly for older persons, the average age of academy members is increasing. Another reason for "overaging" is an increase in the age at election. In an organization with a fixed size, the annual intake is strictly determined by the number of deaths and the statutory retirement age. This can, among many learned societies, lead to a fundamental dilemma: the desire to maintain a young age structure, while still guaranteeing a high recruitment rate. We derive an optimal recruitment policy which is bimodal, i.e., it entails shifting recruitment partly to younger ages and partly to older ages, while decreasing the recruitment of middle-aged candidates. Although the optimization problem explicitly involves only the average age and the recruitment rate as objectives, the methodology implicitly allows us to take into consideration all other objectives (formal or informal) used in the actual election practice.

Author's affiliation
Herbert Dawid
University of Bielefeld, Germany
Gustav Feichtinger
University of Technology, Vienna, Austria
Joshua R. Goldstein
Max Planck Institute for Demographic Research, Germany
Vladimir M. Veliov
University of Technology, Vienna, Austria

Keywords
age-specific recruitment policy, fixed-size population, optimal control

Word count (Main text)
6300

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