Stochastic modelling of intersectional pay gaps in universities
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: Royal Society Open Science, Jahrgang 10, Nr. 10, 230615, 11.10.2023.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Stochastic modelling of intersectional pay gaps in universities
AU - Barrett-Walker, Tessa
AU - Bülow, Franca
AU - MacDonald, Lindsey Te Atu O Tu
AU - Brower, Anna
AU - James, Alex
N1 - Publisher Copyright: © 2023 The Authors.
PY - 2023/10/11
Y1 - 2023/10/11
N2 - The gender and ethnicity pay gaps are well publicised for academics. The majority of research relies on observations representing a point in time or uses models to consider a standard academic lifespan. We use a stochastic mathematical model to ask what drives differences in lifetime earnings of university academics and highlight a new question: how best should we quantify a working lifetime? The model observes and accounts for patterns in age when entering and leaving the workforce, and differing salary trajectories during an academic career. It is parameterized with data from a national dataset in Aotearoa New Zealand. We compare the total lifetime earnings of different gender and ethnicity groups with and without accounting for the different lengths of time spent in academia. The lifetime earnings gaps are considerably larger when we account for different hiring and leaving ages. We find that overall, for every ethnicity, women have shorter careers and are more likely to leave academia. All minority ethnic groups - and women - earn considerably less than their male white, European colleagues.
AB - The gender and ethnicity pay gaps are well publicised for academics. The majority of research relies on observations representing a point in time or uses models to consider a standard academic lifespan. We use a stochastic mathematical model to ask what drives differences in lifetime earnings of university academics and highlight a new question: how best should we quantify a working lifetime? The model observes and accounts for patterns in age when entering and leaving the workforce, and differing salary trajectories during an academic career. It is parameterized with data from a national dataset in Aotearoa New Zealand. We compare the total lifetime earnings of different gender and ethnicity groups with and without accounting for the different lengths of time spent in academia. The lifetime earnings gaps are considerably larger when we account for different hiring and leaving ages. We find that overall, for every ethnicity, women have shorter careers and are more likely to leave academia. All minority ethnic groups - and women - earn considerably less than their male white, European colleagues.
KW - ethnicity pay gap
KW - gender pay gap
KW - stochastic model
KW - Environmental Governance
KW - Sustainability Governance
UR - http://www.scopus.com/inward/record.url?scp=85175192334&partnerID=8YFLogxK
U2 - 10.1098/rsos.230615
DO - 10.1098/rsos.230615
M3 - Journal articles
C2 - 37830027
VL - 10
JO - Royal Society Open Science
JF - Royal Society Open Science
SN - 2054-5703
IS - 10
M1 - 230615
ER -