Late retirement, early careers, and the aging of U.S. science and engineering professors
Studies of rescuing early-career scientists often take narrow approaches and focus on PhD students or postdoc populations. In a multi-method systems approach, we examine the inter-relations between the two ends of the pipeline and ask: what are the effects of late retirement on aging and hiring in a...
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description | Studies of rescuing early-career scientists often take narrow approaches and focus on PhD students or postdoc populations. In a multi-method systems approach, we examine the inter-relations between the two ends of the pipeline and ask: what are the effects of late retirement on aging and hiring in academia? With a simulation model, we postulate that the decline in the retirement rate in academia contributes to the aging pattern through two mechanisms: (a) direct effect: longer stay of established professors, and (b) indirect effect: a hiring decline in tenure-track positions. Late retirement explains more than half of the growth in average age and brings about 20% decline in hiring. We provide empirical evidence based on the natural experimental set-up of the removal of mandatory retirement in the 1990s. |
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In a multi-method systems approach, we examine the inter-relations between the two ends of the pipeline and ask: what are the effects of late retirement on aging and hiring in academia? With a simulation model, we postulate that the decline in the retirement rate in academia contributes to the aging pattern through two mechanisms: (a) direct effect: longer stay of established professors, and (b) indirect effect: a hiring decline in tenure-track positions. Late retirement explains more than half of the growth in average age and brings about 20% decline in hiring. We provide empirical evidence based on the natural experimental set-up of the removal of mandatory retirement in the 1990s.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0208411</identifier><identifier>PMID: 30586402</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Age Factors ; Aged ; Aging ; Aging (natural) ; Aging - physiology ; Author productivity ; Biology and Life Sciences ; Career Mobility ; Careers ; College faculty ; Computer simulation ; Demographic aspects ; Employment ; Engineering ; Engineering - education ; Engineering teachers ; Faculty - psychology ; Faculty - statistics & numerical data ; Female ; Forecasts and trends ; Higher education ; Humans ; Longitudinal Studies ; Male ; Mandatory retirement ; Medicine and Health Sciences ; Middle Aged ; People and Places ; Polls & surveys ; Population ; Research and Analysis Methods ; Research funding ; Researchers ; Retirement ; Retirement - statistics & numerical data ; Sample size ; Science - education ; Science Policy ; Science teachers ; Scientists ; Social Sciences ; Studies ; Time Factors ; Tracking ; Trends ; Tuition ; United States - epidemiology ; University professors ; Workforce</subject><ispartof>PloS one, 2018-12, Vol.13 (12), p.e0208411-e0208411</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Ghaffarzadegan, Xu. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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subjects | Adult Age Age Factors Aged Aging Aging (natural) Aging - physiology Author productivity Biology and Life Sciences Career Mobility Careers College faculty Computer simulation Demographic aspects Employment Engineering Engineering - education Engineering teachers Faculty - psychology Faculty - statistics & numerical data Female Forecasts and trends Higher education Humans Longitudinal Studies Male Mandatory retirement Medicine and Health Sciences Middle Aged People and Places Polls & surveys Population Research and Analysis Methods Research funding Researchers Retirement Retirement - statistics & numerical data Sample size Science - education Science Policy Science teachers Scientists Social Sciences Studies Time Factors Tracking Trends Tuition United States - epidemiology University professors Workforce |
title | Late retirement, early careers, and the aging of U.S. science and engineering professors |
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