Content uploaded by Thadeus F. Mkamwa
Author content
All content in this area was uploaded by Thadeus F. Mkamwa on Mar 13, 2023
Content may be subject to copyright.
Content uploaded by Eunsoo Choi
Author content
All content in this area was uploaded by Eunsoo Choi on Feb 27, 2023
Content may be subject to copyright.
Content uploaded by Maria Ingrid Teresa Olsson
Author content
All content in this area was uploaded by Maria Ingrid Teresa Olsson on Jan 26, 2023
Content may be subject to copyright.
Content uploaded by Ilan Dar-Nimrod
Author content
All content in this area was uploaded by Ilan Dar-Nimrod on Jan 26, 2023
Content may be subject to copyright.
1
Political Psychology, Vol. 0, No. 0, 2023
doi: 10.1111/pops.12880
0162-895X © 2023 The Authors. Political Psychology published by Wiley Periodicals LLC on behalf of International Society of Political Psychology.
Published by Wiley Periodicals, LLC., 350 Main Street, Malden, MA 02148, USA, 9600 Garsington Road, Oxford, OX4 2DQ,
and PO Box 378 Carlton South, 3053 Victoria, Australia
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in
any medium, provided the original work is properly cited.
Gender Gap in Parental Leave Intentions: Evidence from 37
Countries
Maria I. T. Olsson
Inland Norway University of Applied Sciences
Sanne van Grootel
University of Leuven
Katharina Block
University of Amsterdam
Carolin Schuster
Leuphana University Lüneburg
Loes Meeussen
University of Leuven
Research Foundation Flanders
Colette Van Laar
University of Leuven
Toni Schmader
University of British Columbia
Alyssa Croft
University of Arizona
Molly Shuyi Sun
University of Toronto
Mare Ainsaar
University of Tartu
The present article focuses on traditional gender roles and thus primary analyses focus on cisgender participants who
may expect to be in a straight relationship in the future (and thus more likely to anticipate a gender- traditional division
of roles). Including data from lesbian and gay participants does not change the main findings.
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
2M.I.T. Olsson et al.
Lianne Aarntzen
Utrecht University
Magdalena Adamus
Centre of Social and Psychological Sciences, Slovak Academy of Sciences
Joel Anderson
Australian Catholic University
La Trobe University
Ciara Atkinson
University of Arizona
Mohamad Avicenna
State Islamic University Syarif Hidayatuillah Jakarta
Przemysław Bąbel
Jagiellonian University
Markus Barth
Bielefeld University of Applied Sciences
Tessa M. Benson- Greenwald
Indiana University Bloomington
Edona Maloku
Rochester Institute of Technology Kosovo
Jacques Berent
University of Geneva
Hilary B. Bergsieker
University of Waterloo
Monica Biernat
University of Kansas
Andreea G. Bîrneanu
West University of Timisoara
Blerta Bodinaku
University of Tirana
Janine Bosak
Dublin City University
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
3
Gender Gap in Leave Intentions
Jennifer Bosson
University of South Florida
Marija Branković
University of Belgrade
Julius Burkauskas
Lithuanian University of Health Sciences
Vladimíra Čavojová
Centre of Social and Psychological Sciences, Slovak Academy of Sciences
Sapna Cheryan
University of Washington
Eunsoo Choi
Korea University
Incheol Choi
Seoul National University
Carlos C. Contreras- Ibáñez
UAM – Universidad Autónoma Metropolitana
Andrew Coogan
Maynooth University, National University of Ireland
Ivan Danyliuk
Taras Shevchenko National University of Kyiv
Ilan Dar- Nimrod
University of Sydney
Nilanjana Dasgupta
University of Massachusetts, Amherst
Soledad de Lemus
Universidad de Granada
Thierry Devos
San Diego State University
Marwan Diab
Gaza Community Mental Health Programme
Amanda B. Diekman
Indiana University Bloomington
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
4M.I.T. Olsson et al.
Maria Efremova
National Research University Higher School of Economics
Léïla Eisner
University of Zurich
Anja Eller
UNAM – Universidad Nacional Autónoma de México
Rasa Erentaite
Kaunas University of Technology
Denisa Fedáková
Centre of Social and Psychological Sciences, Slovak Academy of Sciences
Renata Franc
Institute of Social Sciences Ivo Pilar
Leire Gartzia
Deusto Business School
Alin Gavreliuc
West University of Timisoara
Dana Gavreliuc
West University of Timisoara
Julija Gecaite- Stonciene
Lithuanian University of Health Sciences
Adriana L. Germano
University of Washington
Columbia University
Ilaria Giovannelli
University of Chieti- Pescara
Renzo Gismondi Diaz
Universidad Privada de Santa Cruz de la Sierra
Lyudmila Gitikhmayeva
L. N. Gumilyov Eurasian National University
Abiy Menkir Gizaw
Bahir Dar University
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
5
Gender Gap in Leave Intentions
Biljana Gjoneska
Macedonian Academy of Sciences and Arts
Omar Martínez González
UNAM – Universidad Nacional Autónoma de México
Roberto González
Pontificia Universidad Católica de Chile
Isaac David Grijalva
Pontificia Universidad Católica del Ecuador
Derya Güngör
University of Leuven
Marie Gustafsson Sendén
Stockholm University
William Hall
Brock University
Charles Harb
American University of Beirut
Doha Institute for Graduate Studies
Bushra Hassan
International Islamic University Islamabad
Tabea Hässler
University of Zurich
Diala R. Hawi
Doha Institute for Graduate Studies
Levke Henningsen
University of Zurich
University of Exeter
Annedore Hoppe
University of Leipzig
Keiko Ishii
Nagoya University
Ivana Jakšić
University of Belgrade
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
6M.I.T. Olsson et al.
Alba Jasini
University of Leuven
Jurgita Jurkevičienė
Kaunas University of Technology
Kaltrina Kelmendi
University of Prishtina
Teri A. Kirby
International Islamic University Islamabad
Purdue University
Yoko Kitakaji
Hiroshima University
Natasza Kosakowska- Berezecka
University of Gdańsk
Inna Kozytska
Taras Shevchenko National University of Kyiv
Clara Kulich
University of Geneva
Eva Kundtová- Klocová
Masaryk University
Filiz Kunuroglu
İzmir Kâtip Çelebi University
Christina Lapytskaia Aidy
York University
Albert Lee
Nanyang Technological University
Anna Lindqvist
Lund University
Wilson López- López
Pontificia Universidad Javeriana
Liany Luzvinda
State Islamic University Syarif Hidayatuillah Jakarta
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
7
Gender Gap in Leave Intentions
Fridanna Maricchiolo
Roma Tre University
Delphine Martinot
Université Clermont Auvergne (LAPSCO)
Rita Anne McNamara
Victoria University of Wellington
Alyson Meister
IMD Business School
Tizita Lemma Melka
Bahir Dar University
Narseta Mickuviene
Lithuanian University of Health Sciences
María Isabel Miranda- Orrego
Pontificia Universidad Católica del Ecuador
Thadeus Mkamwa
Saint Augustine University of Tanzania
James Morandini
University of Sydney
Thomas Morton
University of Copenhagen
David Mrisho
Saint Augustine University of Tanzania
Jana Nikitin
University of Vienna
Sabine Otten
University of Groningen
Maria Giuseppina Pacilli
University of Chieti- Pescara
Elizabeth Page- Gould
University of Toronto
Ana Perandrés
Universidad de Granada
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
8M.I.T. Olsson et al.
Jon Pizarro
Deusto Business School
Nada Pop- Jordanova
Macedonian Academy of Sciences and Arts
Joanna Pyrkosz- Pacyna
AGH University of Science and Technology
Sameir Quta
Islamic University of Gaza
TamilSelvan Ramis
Sunway University
Nitya Rani
Independent Researcher
Sandrine Redersdorff
Université Clermont Auvergne (LAPSCO)
Isabelle Régner
Aix Marseille Univ, CNRS, LPC
Emma A. Renström
Kristianstad University
Adrian Rivera- Rodriguez
University of Massachusetts, Amherst
Sánchez Tania Esmeralda Rocha
UNAM – Universidad Nacional Autónoma de México
Tatiana Ryabichenko
National Research University Higher School of Economics
Rim Saab
American University of Beirut
University of Sussex
Kiriko Sakata
Hiroshima University
Adil Samekin
M. Narikbayev KAZGUU University
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
9
Gender Gap in Leave Intentions
Tracy Sánchez- Pachecho
Osnabrück University
University of Costa Rica
Carolin Scheifele
University of Leuven
Research Foundation Flanders
University of Kaiserslautern- Landau
Marion K. Schulmeyer
Universidad Privada de Santa Cruz de la Sierra
Sabine Sczesny
University of Bern
David Sirlopú
Universidad San Sebastián
Vanessa Smith- Castro
University of Costa Rica
Kadri Soo
University of Tartu
Federica Spaccatini
University of Chieti- Pescara
Jennifer R. Steele
York University
Melanie C. Steffens
University of Kaiserslautern- Landau
Ines Sucic
Institute of Social Sciences Ivo Pilar
Joseph Vandello
University of South Florida
Laura Maria Velásquez- Díaz
Pontificia Universidad Javeriana
Melissa Vink
Utrecht University
Eva Vives
Aix Marseille Univ, CNRS, LPC
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
10 M.I.T. Olsson et al.
Turuwark Zalalam Warkineh
Bahir Dar University
Iris Žeželj
University of Belgrade
Xiaoxiao Zhang
Shenzhen University
Xian Zhao
University of Toronto
University of Kansas
Sarah E. Martiny
UiT The Arctic University of Norway
Despite global commitments and efforts, a gender- based division of paid and unpaid work persists. To
identify how psychological factors, national policies, and the broader sociocultural context contribute
to this inequality, we assessed parental- leave intentions in young adults (18– 30 years old) planning to
have children (N=13,942; 8,880 identified as women; 5,062 identified as men) across 37 countries that
varied in parental- leave policies and societal gender equality. In all countries, women intended to take
longer leave than men. National parental- leave policies and women’s political representation partially
explained cross- national variations in the gender gap. Gender gaps in leave intentions were paradoxically
larger in countries with more gender- egalitarian parental- leave policies (i.e., longer leave available to
both fathers and mothers). Interestingly, this cross- national variation in the gender gap was driven by
cross- national variations in women’s (rather than men’s) leave intentions. Financially generous leave
and gender- egalitarian policies (linked to men’s higher uptake in prior research) were not associated with
leave intentions in men. Rather, men’s leave intentions were related to their individual gender attitudes.
Leave intentions were inversely related to career ambitions. The potential for existing policies to foster
gender equality in paid and unpaid work is discussed.
KEY WORDS: parental leave, gender, cross- national, inequality, childcare
Many countries have a gender- based division of labor, with higher- status paid work
done more by men, and lower- status unpaid care work done more by women (EIGE,2019;
WEF,2020). Importantly, however, the gender gap in unpaid care work (e.g., childcare) is
larger than in paid work (OECD,2020). Men’s relatively lower engagement in childcare
has been linked to lower career opportunities for women and marital dissatisfaction in cou-
ples (Carlson et al.,2016; Croft et al.,2019), as well as lower well- being for fathers and
their children (see Meeussen et al.,2020). Notwithstanding these consequences, antecedents
of men’s underrepresentation in childcare have been largely overlooked in psychological
research (Croft et al., 2015). While empirically underexplored, men’s relatively low par-
ticipation in childcare tasks is nonetheless a well- known issue among policy and political
decision- makers. However, despite global commitments and efforts to tackle men’s lower
engagement in childcare (Eurofound, 1998), recent decades showed varied— and overall
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
11
Gender Gap in Leave Intentions
only modest— progress toward gender equality in childcare between countries (Sullivan
et al.,2018). This continued gender imbalance highlights the need for cross- cultural research
on reasons for men’s underrepresentation in unpaid care work. In addition, despite evidence
of gender inequities in parents’ actual division of labor (Ma et al.,2020), less is known about
young women’s and men’s intended engagement in these roles prior to having children.
Young women’s and men’s caregiving intentions may factor into their career choices and
ambitions (Croft et al.,2019; Frome et al.,2006), ultimately perpetuating a gender- based
division of paid and unpaid work. We thus examine predictors of intended uptake of parental
leave in 13,942 young adults from 37 countries who do not yet have children.
Individual Gender Attitudes and the Gender Gap in Childcare
Empirical and theoretical research has examined why women and men often behave in
accordance with traditional gender roles, with men largely occupying breadwinning roles and
women largely occupying caretaking roles (e.g., social role theory; Eagly & Wood,2012).
Although individual differences in gender attitudes are assumed to drive gender- based di-
vision of roles (Knudsen & Wærness,2008), evidence is mixed. Some research shows that
gender- egalitarian attitudes predict more equal sharing of childcare and parental leave uptake
between partners (Duvander,2014; Evertsson,2014). Yet even among straight couples who
endorse gender- egalitarian attitudes, mothers still do more childcare than fathers, including
taking the majority of parental leave (Brandén et al.,2018; Bulanda, 2004). Furthermore,
realistic constraints at the country level, such as transferrable leave policies and gender in-
equality in the labor market, inhibit leave uptake in men, irrespective of their individual
gender attitudes (Bueno & Grau- Grau,2020; Kaufman,2018). Thus, women’s and men’s
engagement in childcare may depend not only on individual gender attitudes but also the
broader sociopolitical context. Indeed, cross- national variation in policies and societal gen-
der inequality corresponds with cross- national variation in the division of paid and unpaid
work among mothers and fathers (Aboim,2010; Boll et al., 2014; Craig & Mullan, 2011;
DeRose et al.,2019; Gracia & Esping- Andersen,2015). For example, although straight cou-
ples with children have a more traditional division of paid and unpaid work than couples
without children, this difference is attenuated in countries where a proportion of paid leave
is reserved specifically for fathers (DeRose et al.,2019).
National Policies, Societal Gender Equality, and the Gender Gap in Childcare
One political strategy for reducing the gender gap in childcare is to extend parental- leave op-
portunities to men. However, this does not always translate into equal participation in childcare.
According to the International Labour Organization (ILO,2014), 66 countries across the world
have introduced parental leave (i.e., leave available to both mothers and fathers) to support gender
equality in the division of paid and unpaid work (Burri & Prechal,2013). However, statistics from
Europe show that even in countries that allow mothers and fathers to share leave, mothers tend to
take most or all of the leave (Eurofound,2019). Research has thus examined whether equal uptake
is associated with the extent to which leave policies are gender egalitarian (i.e., available to either
parent) and generous (i.e., compensated at a high rate). To identify the parental- leave policies most
associated with fathers’ leave uptake, one analysis of leave policies in 21 European countries found
that “use it or lose it” parental leave that was nontransferrable (i.e., reserved for fathers) and highly
paid (approaching 100% of salary) was associated with the highest uptake by men (Castro- García
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
12 M.I.T. Olsson et al.
& Pazos- Moran,2016). In contrast, women tended to take most of the paid leave offered to them,
not only leave paid at a high rate (for similar findings, see Duvander & Johansson,2012; Geisler &
Kreyenfeld,2019; O’Brien,2009). Longitudinal studies also show that policies play a key role in elic-
iting change, as introducing incentives for fathers to take parental leave increases gender- equitable
norms and leave uptake (Jurado- Guerrero & Muñoz- Comet,2021; Omidakhsh et al.,2020).
Importantly, however, parental- leave policies are likely to be confounded with other
social, cultural, and economic factors (Carriero,2020; Kasser,2011). Thus, to better esti-
mate the effect of leave policies over and above other country- level factors, it is important
to consider the effect of societal gender equality, which may also contribute to a gendered
divide of paid and unpaid work. For example, cross- national research has shown that straight
couples in more gender- egalitarian societies (where women are afforded a higher degree of
professional opportunities, economic power, and representation in politics) tend to divide
domestic work more equally than those in less gender- egalitarian societies (Hook, 2006;
Knudsen & Wærness,2008). This association between societal gender equality and couples’
share of domestic work may be explained by social role theory (Eagly & Wood,2012), ac-
cording to which gender differences are more pronounced in more unequal countries (Eagly
& Wood,1999), as women and men are expected to behave in accordance with gender- role
beliefs. These beliefs stem from the gender- based division of labor and gender hierarchy,
as women and men infer what is intrinsic and appropriate behavior for their gender based
on women’s and men’s relative distribution across social roles. Furthermore, in line with
role- congruity theory, women and men are motivated to behave in accordance with gender-
role expectations, as they experience personal and social rewards or punishments for role
congruity and role incongruity, respectively (Diekman & Eagly,2008). Taken together, both
egalitarian parental- leave policies (linked to men’s higher representation in unpaid care work
in prior research) and societal gender equality (women’s relative representation in higher-
status paid work) may be associated with a smaller gender gap in intended uptake of parental
leave, as young women and men align their future caregiving intentions with gender roles in
society (Brown & Diekman,2010).
Overview and Hypotheses
To address the gender- based division of paid work before it is firmly rooted in a new gener-
ation, it is important to situate caregiving intentions in young adults in a broader sociopolitical
context. Our preregistered study thus examined parental- leave intentions among 13,942 students
in 37 countries. We tested the extent to which parental- leave policies and societal gender equal-
ity predicted cross- national variation in the gender gap in intended leave uptake over and above
individual- level gender- role attitudes (see the online supporting information for exploratory
analyses with other country- level variables). We focus on intended leave uptake as a specific,
tangible aspect of childcare rather than intended engagement in childcare in general, as previous
research shows that men report shorter leave intentions than women, despite intending to share
childcare equally (Tharp & Parks- Stamm,2021).
In Model 1, we tested the independent effects of four different aspects of parental- leave
policies. In all countries, maternity leave is exclusive to mothers, whereas paternity leave is
exclusive to fathers. The amount of parental leave exclusive to fathers corresponds with fathers’
leave uptake (e.g., DeRose et al.,2019). Thus, in line with role congruity processes, we pre-
dicted that men would report greater intentions to take leave in countries where more leave is
exclusive to fathers.
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
13
Gender Gap in Leave Intentions
H1: The gender gap will be smaller in countries where more leave is exclusive to
fathers.
In most countries, however, more leave tends to be exclusive to mothers than fathers. We
predicted that in countries where relatively more leave is exclusive to mothers than fathers
(estimated by subtracting the number of weeks of leave exclusive to fathers from the number of
weeks exclusive to mothers), women would report higher— and men lower— intentions to take
leave.
H2: The gender gap will be larger in countries with more gender imbalance in exclusive
leave.
Interestingly, previous research indicates that (unpaid) parental leave (i.e., leave that moth-
ers and fathers choose how to distribute between themselves) seems to have little bearing on
men’s uptake of leave (Han & Waldfogel, 2003). Moreover, experimental research suggests
that when women and men are offered longer leave, the gender gap in intentions to take leave
increases, as women are more likely to take advantage of unpaid leave than men (Tharp &
Parks- Stamm,2021). In line with these previous findings on how policies affect the gender gap
in childcare, we predictthat:
H3: Longer available parental leave will correspond with a larger gender gap.
In addition, although financial compensation may correspond with higher leave inten-
tions among both women and men, it may be more strongly associated with men’s leave
intentions because of a realistic calculus of lost salary (given men’s higher average pay) or
gender norms prescribing men as breadwinners (Haas & Hwang,2019). Thus, we predict
that:
H4: More financially generous leave (i.e., the degree to which leave is compensated) will
correspond with a smaller gender gap.
In Model 2, we tested the independent effects of different country- level gender equality
indicators on men’s and women’s leave intentions. Again, in line with role- congruity processes,
we predicted that gender equality at the national level (operationalized as women’s relative
representation in high- status paid work) would correspond with greater gender- equal intentions
to care for one’s future children, as women would report relatively shorter– and men relatively
longer– leave intentions. Thus, we predict that:
H5: The gender gap in intended leave will be smaller in countries where women’s repre-
sentation in earnings are more equal to men’s.
H6: The gender gap in intended leave will be smaller in countries where women’s repre-
sentation in politics are more equal to men’s.
Finally, with the aim to integrate previous literature and examine the relative importance of
national policy versus gender- equality indicators on the gender gap in intentions over and above
individual gender attitudes, we included all significant interaction effects between participant
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
14 M.I.T. Olsson et al.
gender and country- level variables (from Models 1 and 2) into a final model where we also
controlled for individual gender attitudes. In addition to testing the preregistered hypotheses
outlined above, we explored the relationship between women’s and men’s leave intentions and
career ambitions to assess the implications of caregiving intentions for gender- equal representa-
tion in high- status careers.
Method
Sample
Data were collected as part of an international research collaboration on gender roles
(ucom2 017.wordp ress.com). Exclusion criteria, hypotheses, and analyses were preregistered
(https://osf.io/7psh5/ ?view_only=a6ef2 88322 88414 0b788 04281 9d926c9; see the online sup-
porting information for minor deviations from the preregistration). Because the question about
leave intentions may be interpreted as only hypothetical in countries that do not offer leave, we
preregistered excluding data from 12 countries that did not offer parental or paternity leave to
fathers (ILO,2014).
The present focus is on how gender norms influence a traditional gender division of labor
and future child- rearing intentions between women and men in straight relationships. Lesbian
and gay couples are more likely to engage in “degendered parenting,” where personal choice,
aptitude, and fairness rather than gender guide the division of labor (Fulcher et al., 2008;
Silverstein et al.,2002). Accordingly, we preregistered excluding participants who identified as
neither male nor female (1.19%) or defined their sexual orientation as gay/lesbian or mostly gay/
lesbian from the hypothesis testing1 (2.95%).
Furthermore, because we were interested in future child- rearing intentions, participants
who were younger than 18 (1.65%) or reported already having a child (1.10%) or not want-
ing children in the future (4.88%) were excluded. Notably, despite declining birth rates in
many countries, the majority of our young sample (82.30%) indicated that they definitely or
most likely want to have children. A minority (17.70%) indicated being unsure. A relatively
equal proportion of women (4.35%) and men (4.58%) reported not wanting children in the
future.
After applying these preregistered exclusion criteria, the final sample contained 13,942
participants (8,880 identified as women; 5,062 identified as men) from 99 universities across
37 countries (see Table1). The gender imbalance in the final sample is due to convenience
sampling; most of the sample (57%) was recruited from majors in psychology, healthcare, and
early education where women are overrepresented (OECD,2019, see TableSI1 in the online
supporting information for more details).
Procedure and Instruments
Participants completed a 45- minute survey in the language of instruction at their university.
Only relevant measures are described (for a complete list, see: https://osf.io/rwxcj/ ?view_on-
ly=35deb 74b4d dc499 58bd7 001a0 064431d).
1Including (mostly) gay/lesbian participants in the hypothesis testing generated comparable results. Notably, however,
the gender gap was more pronounced between straight women and men than between lesbian women and gay men. The
relatively smaller gender gap in the latter group appears to be more driven by differences between straight versus gay
men than straight versus lesbian women (see the online supporting information for related analyses).
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
15
Gender Gap in Leave Intentions
Individual- Level Variables
Intended parental leave Participants’ intended parental leave was assessed with: “If you had
a child in the future, how much voluntary (non- medical) parental leave (may be paid or unpaid)
would you like to take in the first 2 years of your child’s life? Please indicate in weeks. For
reference, 1 month ~ 4 weeks, 6 months ~ 26 weeks, 1 year ~ 52 weeks.”
Gender Participants were asked: “What best reflects your gender?” Participants could choose
between male, female, or neither best reflects my identity.
Career ambitions Two items assessed participants’ ambitions to pursue high- status careers: “I
have ambitious career goals” and “I want to be an important person in my field,” rated from 1
(strongly disagree) to 7 (strongly agree). Items correlated between .42 to .76 across countries.
Control Variables
To account for potential differences in sample characteristics across universities, we pre-
registered as covariates participants’ study major, age, and subjective socioeconomic status
(SES), each of which have been linked to parental- leave uptake (Borràs et al.,2018; Geisler &
Kreyenfeld,2019; Ma et al.,2020; Marynissen et al.,2019; see the online supporting informa-
tion for control variables).
We also preregistered examining the role of country- level factors on leave intentions, over
and above individual attitudes. We therefore controlled for individual gender- role attitudes to-
ward childcare in the final model.
Table 1. Sample Information by Country
Country (rank) n (% men) Country (rank) n (% men)
Albania (38) 148 (43) South Korea (118) 136 (60)
Australia (35) 402 (38) Lithuania (28) 171 (42)
Belgium (31) 322 (22) Macedonia (67) 151 (44)
Canada (16) 1189 (40) Netherlands (32) 509 (25)
Chile (63) 365 (37) New Zealand (9) 222 (45)
Colombia (36) 308 (42) Norway (2) 269 (38)
Croatia (54) 384 (54) Poland (39) 439 (23)
Czech Rep. (88) 198 (35) Romania (58) 215 (36)
Denmark (14) 148 (26) Russia (71) 154 (39)
Ecuador (42) 134 (48) Serbia (40) 740 (25)
Estonia (37) 190 (37) Singapore (65) 189 (44)
Ethiopia (115) 194 (46) Slovakia (74) 253 (40)
France (11) 369 (38) Spain (24) 327 (43)
Germany (12) 622 (31) Sweden (5) 169 (50)
Indonesia (84) 240 (33) Tanzania (68) 89 (51)
Ireland (8) 282 (41) Ukraine (61) 238 (43)
Italy (82) 286 (37) United Kingdom (15) 265 (18)
Japan (114) 463 (41) United States (49) 3049 (34)
Kazakhstan (52) 113 (45) Total 13,942 (36)
Note: Sample information is reported with exclusion criteria applied. Rank refers to countries’ rank on the global
gender- gap index (WEF,2017).
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
16 M.I.T. Olsson et al.
Gender- role attitudes toward childcare Three items assessed participants’ gender- role
attitudes toward childcare2 (shortened from Gaunt,2006), e.g., “Mothers are instinctively
better caretakers than fathers” (α=.45 to .88 across countries). The response scales ran
from 1 (strongly disagree) to 7 (strongly agree). Higher scores indicate more traditional
attitudes.
Country- Level Variables
Indicators of different parental- leave policies (ILO,2014) and gender equality (WEF,2017)
were collected from publicly available datasets. As preregistered, to maximize the degrees of
freedom (by limiting the number of predictors in each model), we applied a data- driven ap-
proach to select which indicators of gender equality to include as predictors in Model 2 (see
the online supporting information for more details). To address missing data, we imputed 10
datasets from a larger dataset of 63 country- level economic, political, and social indicators using
Amelia II in R (Honaker et al.,2011; for imputation code, see https://osf.io/9tshr/ ?view_only=-
becdb 1e590 a64ff ca6cc ef74f 131fea8).
No multicollinearity was detected as indicated by VIF < 10 between hypothesized country-
level variables in each model (Kutner et al.,2004; see TableSI6 in the online supporting infor-
mation for bivariate correlations between country- level variables).
Parental- leave policies Father- exclusive leave represents the days of leave exclusive to fathers
in a given country (sample range: 0 to 80 days). Gender imbalance in exclusive leave represents
the extent to which leave is exclusive to mothers over fathers (in days) and is calculated as the
total leave reserved exclusively for mothers minus the total leave reserved exclusively for fathers
in a given country (range: −10 to 283 days). Available leave length represents the total leave
(in weeks) that is available to either parent (i.e., no part of this leave is exclusive to mothers
or fathers; range: 0 to 156 weeks). Financially generous leave represents the number of weeks
with 100% income compensation in a given country (range: 0 to 78 weeks), computed as the
product of parental leave duration (in weeks) and compensation rate (% of previous earnings;
e.g., 10 weeks compensated at 80%=8 weeks).
Gender equality Women’s relative income represents the ratio of female- to- male income in a
country and is estimated using the proportion of working women and men, their relative wages,
and overall GDP of the country in question (scale ranges from 0 to 1; sample range: .43 to .79;
WEF,2017). Women’s relative representation in politics is based on the ratio of women to men
with seats in parliament, at the ministerial level, and number of years with a female head of state
over the last 50 years in a given country (scale ranges from 0 to 1; sample range: .08 to .53;
WEF,2017).
Results
Data and analytical code are available on the Open Science Framework (https://osf.io/65dnv/
?view_only=c0fff 2520c e9497 49013 a3032 4770f46). All analyses were performed in R (version
4.1.1.1).
2Scale is labeled “gender essentialist attitudes” in the dataset.
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
17
Gender Gap in Leave Intentions
Data Structure
We had a sufficient sample size for hierarchical modeling based on the number of coun-
tries included (i.e., 37; Maas & Hox,2005). To examine whether there was sufficient variance
at the site and country level to justify a three- level hierarchical linear model, we first ran an
intercept- only model that included no predictor variables but random intercepts at the site and
country level. The intraclass correlation coefficient (ICC) for intended leave indicated sufficient
clustering at the site (ICC=0.06) and country (ICC=0.09) level (LeBreton & Senter,2008). We
noted a higher degree of clustering for women (ICC=0.24) than for men (ICC=.06). When we
added individual- and site- level control variables to the model, the clustering decreased for site
(ICC=0.03) but increased for country (ICC=0.12), indicating that we successfully captured
variance at the site level by including the control variables.
Analytical Strategy
We ran a series of hierarchical linear models in which we included a random slope of
participant gender at the country level to account for between- country variability. We added
cross- level interactions between participant gender (centered at the grand mean; Enders &
Tofighi, 2007; women=−0.36, men = 0.64) and country- level variables (i.e., parental- leave
policies and gender- equality indicators, centered at their grand mean; Enders & Tofighi,2007)
in two respective models. To test each hypothesis, we followed significant cross- level interaction
effects with simple slopes analyses and examined the gender gap in intentions (i.e., the effect of
participant gender) at different levels (±1 SD) of the country- level variable.
In each model, the predictors were entered simultaneously. Each effect is thus tested as the
other effects are held constant (see TableSI3 in the online supporting information for bivari-
ate correlations between each country- level variable and country- level gender differences in
intended leave uptake). We subsequently entered all significant cross- level interaction effects
from Models 1 and 2 into one final model, which also controlled for individual gender- role at-
titudes. This strategy allowed us to weigh different cross- level interaction effects against each
other with maximum degrees of freedom, over and above individual gender- role attitudes.
Age and subjective SES (centered within sites) and study major (effect coded) were added
as individual- level control variables. Age and subjective SES were also averaged across sites
(grand mean centered) and added as site- level control variables (to partial out potential differ-
ences across data- collection sites).
Descriptive Statistics
The first aim of the present research was to examine whether there is cross- national variability
in the gender gap in caregiving intentions. Descriptive analyses showed that women intend to take
longer leave than do men in all countries (see Figure1). The gender gap in leave intentions ranged
from 0.79 weeks (in Tanzania) to 45.79 weeks (in Russia). See FiguresSI2- 3 in the online support-
ing information for absolute averages and ranges for women and men across countries. Exploratory
analyses at the individual level further revealed that leave intentions were negatively (albeit weakly)
associated with career ambitions3 in both women (r=−.14, p < .001) and men (r=−.09, p < .001).
3Overall, women (M=5.53, SD=1.29) reported higher career ambition than men (M=5.45, SD=1.37). However, this
gender difference was significant in only a minority of countries: Belgium, Chile, Germany, New Zealand, Norway, and
the United States (see Table SI5 in the online supporting information).
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
18 M.I.T. Olsson et al.
Hypothesis Testing
The second aim of the present research was to examine the relationship between the gender
gap in caregiving intentions and different national parental- leave policies and levels of societal
gender equality.
Figure 1. Gender gap in intended uptake of parental leave by country. Scores are based on the estimated means (i.e.,
subtracting the intercept for men from the intercept for women, when individual- and site- level control variables are held
constant). Values above 0 indicate how many more weeks of leave women intend to take than men.
0510 15 20 25 30 35 40 45
50
Tanzania
Belgium
Singapore
Netherlands
Sweden
Ethiopia
Colombia
Italy
New Zeal
and
France
Norway
South Korea
Ecuador
U.S.A.
Ireland
Spain
Germany
Denmark
Chile
Poland
Albania
Indonesia
Australia
Macedonia
Canada
Croatia
U.K.
Serbia
Romania
Japan
Ukraine
Kazakhstan
Lithuania
Estonia
Czech Rep.
Slovakia
Russia
Weeks
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
19
Gender Gap in Leave Intentions
Model 1: Parental- Leave Policies
Model 1 tested whether different national parental- leave policies predicted gender differences
in leave intentions. Model 1’s total explanatory power was substantial (conditional R2=.30), and the
fixed effects alone explained 21% of variability (marginal R2). See TableSI6 in the online support-
ing information for bivariate correlations between different parental- leave policies.
We predicted that the gender gap would be larger in countries with more leave available ex-
clusively to fathers (H1). However, contrary to our hypothesis, with all other leave policies held
constant, the gender gap in intended leave did not significantly vary as a function of the amount
of exclusive leave available to fathers, b=0.13, SE=0.10, p=.187, 95% CI [−0.06, 0.32]. We
also predicted that the gender gap would be larger in countries with more leave available exclu-
sively to mothers over fathers (H2). Weak evidence for this hypothesis emerged, with gender
imbalance in exclusive leave only marginally significantly moderating the effect of gender on
intended leave uptake, b=−0.04, SE=0.02, p=.053, 95% CI [−0.09, 0.0002] (see the online
supporting information for related analyses).
In addition, we predicted that the gender gap would be larger in countries where longer
leave is available to either parent, as women will be more likely to take leave that is available
(H3). When gender imbalance in exclusive leave, length of exclusive leave to fathers, and
financially generous leave were held constant, available leave length significantly moder-
ated the effect of gender on intended leave uptake, b=−0.07, SE=0.03, p=.005, 95% CI
[−0.12, −0.03]. The gender gap in intended uptake was larger in countries that offer relatively
longer (+1 SD) parental leave, b= −22.92, SE=1.88, p < .001, 95% CI [−26.61, −19.23],
than in those that offer shorter (−1 SD) parental leave, b= −14.23, SE= 2.22, p < .001,
95% CI [−18.59, −9.87]. In line with Hypothesis3, simple slopes analyses indicated that
this cross- national variation in the gender gap seemed to be driven by women’s (not men’s)
leave intentions: The slope of length of leave was significantly positive for women, b=0.10,
SE=0.03, p=.001, 95% CI [0.05, 0.15], but not men, b=0.02, SE=0.02, p=.125, 95%
CI [−0.006, 0.05].
Finally, we predicted that the gender gap in leave intentions would be smaller in coun-
tries offering more financially generous leave, because men will be more motivated to take
leave that is paid (H4). Contrary to Hypothesis4, however, with all other leave policies held
constant, evidence for the opposite pattern emerged, b=−0.19, SE= 0.09, p=.044, 95%
CI [−0.37, −0.006]. Specifically, the gender gap in anticipated leave uptake was larger in
countries that offer more financially generous (+1 SD) leave, b=−21.52, SE=2.01, p < .001,
95% CI [−25.46, −17.58], than in those that offer less financially generous (−1 SD) leave,
b=−15.63, SE=2.07, p < .001, 95% CI [−19.69, −11.57]. Simple slopes analyses indicated
that this cross- national variation in the gender gap seemed to be driven by women’s (not
men’s) leave intentions: The slope of financially generous leave was nonsignificant for men,
b=0.09, SE =0.06, p=.104, 95% CI [−0.02, 0.21], but significantly positive for women,
b=0.28, SE=0.10, p=.008, 95% CI [0.09, 0.48].
Model 2: Gender Equality
Model 2 tested whether country- level gender- equality indicators (income and political rep-
resentation) predicted gender differences in leave intentions. Model 2’s total explanatory power
was substantial (conditional R2=.32), and the fixed effects alone explained 16% of variability
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
20 M.I.T. Olsson et al.
(marginal R2). See TableSI6 in the online supporting information for bivariate correlations be-
tween different indicators of gender equality in the labor market.
We predicted that, with women’s relative representation in politics held constant, wom-
en’s relative income at the national level would be associated with lower leave intentions
among women and higher leave intentions among men (H5). However, the interaction
between gender and women’s relative income was nonsignificant, b= −5.71, SE = 22.89,
p=.760, 95% CI [−49.82, 38.29], indicating that the gender gap in intended leave uptake is
not directly associated with the gender gap in income. We also predicted that women’s rela-
tive representation in politics would be associated with lower leave intentions among women
and higher leave intentions among men (H6). We found that, when women’s relative income
was held constant, women’s relative representation in politics significantly moderated the
effect of gender on intended leave uptake, b=42.97, SE=14.82, p=.007, 95% CI [14.53,
71.57]. Specifically, the gender gap was smaller in countries where women are relatively
more (+1 SD) represented in politics, b = −15.20, SE = 2.37, p < .001, 95% CI [−19.84,
−10.56], than in those where women are less (−1 SD) represented in politics, b= −25.98,
SE=2.73, p < .001, 95% CI [−31.24, −20.54]. In partial support of Hypothesis 6, simple
slopes analyses indicated that this cross- national variation in the gender gap seemed to be
driven more by women’s than men’s leave intentions: The slope of women’s representation in
politics was negative (albeit only marginally significant) for women, b=−36.44, SE=18.97,
p=.063, 95% CI [−73.62, 0.74], and positive but nonsignificant for men, b=6.54, SE=8.52,
p=.450, 95% CI [−10.17, 23.24].
Final Model
To weigh the effect of parental- leave policies and gender equality at the national level
against each other, we subsequently entered the statistically significant cross- level interaction
from Models 1 and 2 into one final model. To assess whether the gender gap in intended leave re-
lates to parental- leave policies and/or women’s relative representation in politics, over and above
individual gender role attitudes, we also added interaction terms between gender and gender role
attitudes toward childcare (grand mean centered; Enders & Tofighi,2007).
When considered simultaneously, the slopes were comparable to those in Models 1 and
2, but the cross- level interaction effect between financially generous leave and gender was
reduced and statistically nonsignificant (see Table2). Only the interactions between gender
and length of available leave (see Figure2) and gender and women’s relative representation
in politics (see Figure3) statistically predicted intended uptake of parental leave.4,5The final
model revealed that country- level indicators predict cross- national variation in the gender
gap in leave intentions over and above individual- level gender- role attitudes toward child-
care. As an exploratory analysis, we noted that individual- level gender- role attitudes toward
childcare significantly interacted with gender in predicting individual intentions to take pa-
rental leave, b=−2.33, SE=0.28, p < .001, 95% CI [−2.88, −1.77]. Simple slopes analyses
revealed that the slope was significantly positive for women, b=0.63, SE=0.17, p < .001,
95% CI [0.30, 0.96], and significantly negative for men, b=−1.70, SE=0.23, p < .001, 95%
4Available leave length was not significantly correlated with women’s relative representation in politics (see Table SI6
in the online supporting information).
5The significant interaction between participant gender and women’s representation in politics should be treated with
caution as it fell short of statistical significance when controlling for egalitarian cultural value orientation (see the online
supporting information for more details).
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
21
Gender Gap in Leave Intentions
CI [−2.14, −1.25]. In other words, endorsing more traditional gender- role attitudes was asso-
ciated with women intending to take more leave and men intending to take less leave (see
Figure4).
Discussion
A gender- based division of paid and unpaid work is a pressing issue worldwide. The present
research documented, across a wide range of countries, a gender gap in young people’s inten-
tions to take leave from work to care for their child(ren). In all countries, women intended to
take longer leave than did men. Leave intentions were in turn negatively associated with career
ambition, highlighting the importance of reducing this gender gap for equality in higher- status
careers.
Table 2. Final Model: Intended Uptake of Parental Leave Predicted by Gender, Financially Generous Leave, Available
Leave Length, and Women’s Relative Representation in Politics
b SE b p
Fixed Effects
Level 1
Intercept 32.28 1.66 <.001***
HEED major 1.85 0.38 <.001***
STEM major −0.62 0.44 .154
Social Sciences major 0.20 0.75 .788
Business major −1.06 0.64 .100
Age 0.25 0.10 .014*
Subjective SES −0.55 0.13 <.001***
Attitudes toward childcare −0.21 0.14 .117
Gender −17.54 1.83 .002**
Gender × Attitudes toward childcare −2.33 0.28 <.001***
Level 2
Age (site average) 0.34 0.35 .337
Subjective SES (site average) −3.89 0.92 <.001***
Level 3
Financially generous leave 0.18 0.08 .024*
Available leave length 0.07 0.02 .003**
Relative representation in politics −12.69 10.53 .237
Cross- level interactions
Gender × Financially generous leave −0.11 0.08 .190
Gender × Available leave length −0.08 0.02 .003**
Gender × Representation in politics 31.08 11.63 .012*
Random Effects b SD
Intercept variance (site- level) 0.35 0.59
Intercept variance (country- level) 59.56 7.72
Slope variance 64.65 8.04
Note: HEED=majors in fields associated with health care, early childhood education, and domestic roles: Psychology
(General); Psychology to be a clinical practitioner; Medicine to become a doctor; Other Health Care/Social Work
professions; Education/Teaching. STEM=majors in Science (Chemistry, Biology, etc.); Technology (e.g., Computer
Science), Engineering, and Mathematics/Statistics. The remaining clusters included Social Sciences majors (History,
Sociology, etc.); Business majors; and other majors (Law; Sport Sciences; Fine Arts; Theology/Religious Studies). Four
variables used standard effects coding (Aiken & West,1991) to represent five clusters of academic majors, with the named
group coded 1, “other” majors (the base group) coded −1, and remaining clusters of majors coded 0. Participant gender
was grand mean centered (women=−0.36, men=0.64). Bold values are statistical significance is indicated by *p < .05;
**p < .01; ***p < .001.
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
22 M.I.T. Olsson et al.
The gender gap in intended leave uptake varied across countries. In some countries, inten-
tions to take leave were similar between women and men (e.g., 9 weeks difference in Sweden). In
other countries, women intended to take many more weeks of leave than did men (e.g., 46 weeks
difference in Russia). There seemed to be a regional pattern to leave intentions, with post- Soviet/
Eastern European countries making up nine of the 10 countries with the largest gender gaps.
More importantly, this variability in the gender gap in intended leave was systematically related
to cross- national variation in parental- leave policies and societal gender equality, over and above
individual attitudes.
Specifically, results showed a larger gender gap in countries that offer longer parental
leave to either parent (in support of Hypothesis3; even when controlling for financially gen-
erous leave, which was hypothesized to reduce the gender gap by increasing men’s intended
uptake). This finding suggests that longer parental leave, often implemented with the intention
to promote a more equal share of childcare, may paradoxically perpetuate childcare inequities
between women and men (for similar findings, see Boeckmann et al.,2014; Tharp & Parks-
Stamm,2021). Notably, leave length was largely associated with women’s, rather than men’s,
leave intentions. This finding aligns with previous research suggesting that whereas women take
advantage of unpaid leave, men do not utilize leave unless it is highly paid or offered to them
exclusively (Castro- García & Pazos- Moran, 2016; Jurado- Guerrero & Muñoz- Comet, 2021;
Patnaik,2019).
In contrast to prior evidence that generous and egalitarian leave policies promote uptake
in men, we found that neither compensation (H4) nor exclusive leave (H1 and H2) was as-
sociated with greater leave intentions in young men (even when excluding control variables,
see the online supporting information). A potential reason for this absence of an effect may be
Figure 2. Gender gap in intended uptake of parental leave predicted by available leave length. Dots represent the
relationship between averaged intended leave uptake for a given gender in each country and length of available parental
leave without additional covariates.
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
23
Gender Gap in Leave Intentions
that we operationalized the compensation variable differently from previous research, as we
computed a continuous measure (i.e., the number of weeks compensated at 100%), whereas
previous research compared men’s uptake at low versus medium versus high- medium versus
high compensation levels (e.g., Castro- García & Pazos- Moran). However, we did not replicate
previous findings even when we employed a categorical variable with different compensation
levels (see the online supporting information for related analysis). Thus, it seems that while gen-
erous policies relate to men’s leave uptake, they do not relate to men’s leave intentions. This null
effect may be attributed to young men’s unfamiliarity with parental- leave policies, highlighting
the importance of educating young men about these policies so their career decisions are more
similar to the choices made by young women.
We had hypothesized that men’s intentions would align with previous findings showing
gender- egalitarian policies increase uptake among fathers, by influencing young men’s future
selves through role- congruity processes. This prediction was not supported, potentially because
men are not aware of the details surrounding their rights to (compensated) parental leave prior
to having children themselves. It also warrants further exploration as to whether policies must
have been in place for a certain amount of time to catalyze such processes (but see the online
supporting information for related analysis), or whether there are additional psychological bar-
riers to men’s future caregiving selves.
Although it is important to interpret cross- sectional findings with caution, gender differ-
ences in caregiving intentions may affect career choices (e.g., what to study, how high to set
one’s goals) and reinforce inequalities in the labor market. Indeed, our descriptive analyses
showed that leave intentions were inversely correlated with career ambitions for both women
Figure 3. Gender gap in intended uptake of parental leave predicted by women’s relative representation in politics.
Dots represent the relationship between averaged intended leave uptake for a given gender in each country and women’s
relative representation in politics.
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
24 M.I.T. Olsson et al.
and men (but particularly for women), indicating that caregiving intentions and ambitions for
high- status careers may be perceived as incompatible (Gutsell & Remedios,2016). The perva-
sive gender gap in intended leave uptake revealed in young adults thus suggests that gender seg-
regation in paid and unpaid work will continue to be an issue at a global level. This gap will, in
turn, have implications for women’s economic independence, men’s psychological well- being,
and children’s welfare (see Meeussen et al.,2020).
That said, although reducing the gender gap in leave intentions can have positive out-
comes for both women and men, gender equality is not about gender parity in leave in-
tentions/uptake per se, but rather intentions/uptake that are no longer restricted by gender
norms of what or what not to do. Such gender norms are still influencing women’s and men’s
intentions/uptake over and above their individual preferences (Beglaubter,2017; Miyajima
& Yamaguchi,2017).
Thus, even though generous and gender- egalitarian policies may lead to a smaller gen-
der gap in actual uptake later, these findings highlight the importance for gender- equality
campaigns to not only target caregiving engagement in fathers, but also caregiving intentions
in boys and young men who want to have children (likely the fathers of the future). Our
findings do not speak to how this goal can be achieved through policies, as we do not have
data on why these policies do not have any notable bearing on young men’s leave inten-
tions. Nevertheless, this (lack of) effect is important for policymakers to recognize and calls
attention to the need for future research to explore how policies can seek to promote leave
intentions in young men.
In line with prior research showing that couples share domestic work more equally in coun-
tries where women are more represented in employment (Hook,2006), or have more professional
Figure 4. Intended uptake of parental leave predicted by gender and attitudes toward childcare. Dots represent the
relationship between women’s and men’s individual intentions to take parental leave and gender- role attitudes toward
childcare without additional covariates.
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
25
Gender Gap in Leave Intentions
opportunities and economic and political power (Knudsen & Wærness,2008), our results also
showed a smaller gender gap in parental- leave intentions in countries where women are more
represented in politics (H6). Again, this effect seemed to be driven by women’s, rather than
men’s, leave intentions. However, in contrast to our research, past work examined the division of
unpaid work that can be done outside of paid work hours. Such work is different from the divi-
sion of parental leave, which entails a break away from one’s career (for which men may expect
to receive backlash; Reimer,2020; Wayne & Cordeiro,2003). Perhaps this work type distinction
could explain the null effect for men.
The significant relationship between women’s relative representation in politics and wom-
en’s intended parental leave uptake did not replicate for other gender- equality indicators, such
as women’s relative income (H5) and women’s relative representation in employment (see the
online supporting information). It is possible these discrepant findings reflect that women in
politics are more visible than women in other high- status work and may thus better serve as
role models by acting as behavioral models, representing the possible, and being inspirational
(see Morgenroth et al.,2015). However, the relation between women’s relative representation in
politics and young women’s caregiving intentions may also be driven by a tendency for female
politicians to push for gender- egalitarian parental- leave policies (see TableSI6 in the online
supporting information for correlations between country- level indicators). To inform policy that
seeks to address a gender- based division of paid and unpaid work, it is thus important for future
research to examine the processes underlying this effect.
Taken together, our findings suggest that both leave policies and political representation
are related to women’s family and career planning. Interestingly, we found no significant
relationship between men’s leave intentions and the broader policy or sociocultural con-
text. Previous research suggests that, relative to women, men’s engagement in childcare is
rooted less in country- level factors (such as policies; Pedulla & Thébaud,2015) and more in
individual- level factors (such as their own gender attitudes; Duvander,2014). Indeed, our ex-
ploratory analyses showed individual variation in men’s (but not women’s) attitudes toward
leadership related to their intended leave uptake (see the online supporting information). This
finding suggests that to increase men’s caregiving intentions, it may be more effective for
interventions to focus directly on promoting gender- egalitarian attitudes in young men (Das
et al.,2016). Notably, however, country- level initiatives and individual- level attitudes are not
mutually exclusive. For example, changes to parental- leave policies that incentivize or en-
courage fathers to take time off seem to shift gender- role attitudes in the general population
(Omidakhsh et al.,2020). The relatively low cross- national variance in men’s intentions to
take parental leave may indicate a lack of effective policies across countries to shift these
attitudes.
Strengths, Limitations, and Perspectives for Future Research
The current research was developed based on the understanding that young people’s caregiv-
ing decisions are made within a broader context (e.g., within couples, families, peer groups, and
countries). Insight into the interdependence of these decisions is essential. The present data help
move science further along that path by situating individual decisions within countries. Although we
were able to make inferences about country- level factors with our large and diverse cross- national
sample (including countries from every major world region), it bears noting that the data are cross-
sectional. Relationships between policies and public attitudes are likely bidirectional, as policies
may influence and be influenced by public opinion through political voting decisions. Moreover,
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
26 M.I.T. Olsson et al.
the relationship between length of parental leave and intentions may be driven by a third unknown
variable. To account for this possibility, we explored several country- level confounds (related to
economic development, preferences, and cultural values), but none of these moderated gender dif-
ferences in intended uptake (see the online supporting information for more details).
Notably, despite our relatively large sample of countries, we have limited statistical power
at the country level. Moreover, highly compensated parental leave and father- exclusive leave is
unavailable in most countries, which means that the findings related to these policies must be
interpreted with caution. It is important to replicate these findings using other research designs
(e.g., by comparing young people’s intentions to take parental leave before and after changes to
parental- leave policies). In addition, future research may wish to explore the cultural, historical,
or political factors that underlie the above- mentioned regional pattern to the gender gap in in-
tended leave uptake.
Finally, given that gender roles differ across social classes (England,2010), different find-
ings could emerge among young adults not enrolled in higher education. It is therefore important
to not generalize these findings to the broader population. Thus, replicating these findings with
representative samples remains a priority. That said, these findings are meaningful: University
students’ intentions may indicate how societies are likely to develop, as young highly educated
individuals are more likely to later hold positions of power to influence policies at an organiza-
tional or country level.
Taken together, the broader political and sociocultural context does appear to relate to
the gender gap in intended uptake of parental leave, over and above individual- level gender
attitudes. The current findings suggest that political decisions are meaningfully related to
gender equality in the domestic sphere. However, merely offering both women and men the
opportunity to take leave is not an effective way to promote caretaking intentions in men. As
young people’s caregiving intentions seem to relate to their career decisions, more research
is needed to better understand how to promote men’s intentions to take leave and reduce the
gender gap in caregiving intentions. Indeed, accelerating progress for gender equality will
depend on understanding what guides women’s and (especially) men’s decision- making re-
garding their future families.
ACKNOWLEDGMENTS
We want to thank Jeremy Biesanz for statistical advice. This research project was con-
ceived following the award of a SSHRC Insight Development Grant to Toni Schmader (430-
2018- 00361). Additional funding included: a SSHRC Insight Grant awarded to J. R. Steele
(435- 2014- 1247) and a SSHRC doctoral fellowship awarded to C. Lapytskaia Aidy; funding
from the Basic Research Program at HSE University, RF, awarded to Tatiana Ryabichenko
and Maria Efremova; a grant from the Economic and Social Research Council awarded to
Teri A. Kirby (ES/S00274X/1); funding from State Research Agency awarded to Soledad
de Lemus (PID2019- 111549GB- I00/10.13039/501100011033); funding from Guangdong
13th- five Philosophy and Social Science Planning Project (GD20CXL06) + National Natural
Science Foundation of China awarded to XiaoXiao Zhang (31600912); funding from the
research infrastructure HUME Lab Experimental Humanities Laboratory, Faculty of
Arts, Masaryk University awarded to Eva Kundtová- Klocová; two grants from the Swiss
National Science Foundation awarded to Tabea Hässler (P1ZHP1_184553) and Léïla Eisner
(P500PS_206546); funding from the Center for Social Conflict and Cohesion Studies (ANID/
FONDAP #15130009) and the Center for Intercultural and Indigenous Research (ANID/
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
27
Gender Gap in Leave Intentions
FONDAP #15110006) awarded to Roberto González; a SSHRC Postdoctoral Fellowship
(756- 2017- 0249) awarded to William Hall; funding awarded to Denisa Fedakova from the
Slovak Research and Development Agency project (APVV 20- 0319); funding awarded to
Léïla Eisner from the Swiss National Science Foundation (P2LAP1_194987) and funding
from Canada Research Chairs (CRC 152583), the Social Sciences and Humanities Research
Council (Insight Grant 140649), and the Ontario Ministry of Research and Innovation (Early
Research Award 152655) awarded to Elizabeth Page- Gould. Correspondence concerning this
article should be addressed to Maria I. T. Olsson, Inland Norway University of Applied
Sciences, Norway. E- mail: maria.olsson@inn.no
REFERENCES
Aboim, S. (2010). Gender cultures and the division of labour in contemporary Europe: A cross- national perspective. The
Sociological Review, 58(2), 171– 196. https://doi.org/10.1111/j.1467- 954X.2010.01899.x
Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage.
Beglaubter, J. (2017). Balancing the scales: Negotiating father’s parental leave use. Canadian Review of Sociology,
54(4), 476– 496. https://doi.org/10.1111/cars.12173
Boeckmann, I., Misra, J., & Budig, M. J. (2014). Cultural and institutional factors shaping mothers’ employment and
working hours in postindustrial countries. Social Forces, 93(4), 1301– 1333. https://doi.org/10.1093/sf/sou119
Boll, C., Leppin, J., & Reich, N. (2014). Paternal childcare and parental- leave policies: Evidence from industrialized
countries. Review of Economics of the Household, 12(1), 129– 158. https://doi.org/10.1007/s1115 0- 013- 9211- z
Borràs, V., Ajenjo, M., & Moreno- Colom, S. (2018). More time parenting in Spain: A possible change towards gender
equality? Journal of Family Studies, 27(1), 1– 16. https://doi.org/10.1080/13229 400.2018.1440618
Brandén, M., Duvander, A. Z., & Ohlsson- Wijk, S. (2018). Sharing the caring: Attitude– behavior discrepancies and
partnership dynamics. Journal of Family Issues, 39(3), 771– 795. https://doi.org/10.1177/01925 13X16 680013
Brown, E. R., & Diekman, A. B. (2010). What will I be? Exploring gender differences in near and distant possible selves.
Sex Roles, 63, 568– 579. https://doi.org/10.1007/s1119 9- 010- 9827- x
Bueno, X., & Grau- Grau, M. (2020). Why is part- time unpaid parental leave (still) gendered? Narratives and strat-
egies of couples in Spain. Journal of Family Issues, 42(3), 503– 526. https://doi.org/10.1177/01925 13X20
918286
Bulanda, R. E. (2004). Paternal involvement with children: The influence of gender ideologies. Journal of Marriage and
Family, 66(1), 40– 45. https://doi.org/10.1111/j.0022- 2455.2004.00003.x
Burri, S., & Prechal, S. (2013). EU gender equality law. Update 2013. https://dspace.libra ry.uu.nl/handl e/1874/308539
Carlson, D. L., Hanson, S., & Fitzroy, A. (2016). The division of child care, sexual intimacy, and relationship quality in
couples. Gender & Society, 30(3), 442– 466. https://doi.org/10.1177/08912 43215 626709
Carriero, R. (2020). The role of culture in the gendered division of domestic labor: Evidence from migrant populations
in Europe. Acta Sociologica, 64(1), 24– 47. https://doi.org/10.1177/00016 99320 930073
Castro- García, C., & Pazos- Moran, M. (2016). Parental leave policy and gender equality in Europe. Feminist Economics,
22(3), 51– 73. https://doi.org/10.1080/13545 701.2015.1082033
Craig, L., & Mullan, K. (2011). How mothers and fathers share childcare: A cross- national time- use comparison.
American Sociological Review, 76(6), 834– 861. https://doi.org/10.1177/00031 22411 427673
Croft, A., Schmader, T., & Block, K. (2015). An underexamined inequality: Cultural and psychological barriers to
men’s engagement with communal roles. Personality and Social Psychology Review, 19(4), 343– 370. https://doi.
org/10.1177/10888 68314 564789
Croft, A., Schmader, T., & Block, K. (2019). Life in the balance: Are women’s possible selves constrained by men’s do-
mestic involvement? Personality and Social Psychology Bulletin, 45(5), 808– 823. https://doi.org/10.1177/01461
67218 797294
Das, M., Bankar, S., Ghosh, S., Verma, R., Jaime, M. C. D., Fewer, S., … Miller, E. (2016). Exploring the impact of
men’s participation in a gender- transformative program on female partners and kin in urban India. International
Journal of Men’s Health, 15(2), 112– 128. https://doi.org/10.3149/jmh.1502.112
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
28 M.I.T. Olsson et al.
DeRose, L. F., Goldscheider, F., Brito, J. R., Salazar- Arango, A., Corcuera, P., Corcuera, P. J., & Gas- Aixendri, M.
(2019). Are children barriers to the gender revolution? International comparisons. European Journal of Population,
35(5), 987– 1021. https://doi.org/10.1007/s1068 0- 018- 09515 - 8
Diekman, A. B., & Eagly, A. H. (2008). Of men, women, and motivation: A role congruity account. In J. Y. Shah & W.
L. Gardner (Eds.), Handbook of motivation science (pp. 434– 447). The Guilford Press.
Duvander, A. (2014). How long should parental leave be? Attitudes to gender equality, family, and work as determi-
nants of women’s and men’s parental leave in Sweden. Journal of Family Issues, 35(7), 909– 926. https://doi.
org/10.1177/01925 13X14 522242
Duvander, A. Z., & Johansson, M. (2012). What are the effects of reforms promoting fathers’ parental leave use? Journal
of European Social Policy, 22(3), 319– 330. https://doi.org/10.1177/09589 28712 440201
Eagly, A. H., & Wood, W. (1999). The origins of sex differences in human behavior: Evolved dispositions versus social
roles. American Psychologist, 54(6), 408– 423. https://doi.org/10.1037/0003- 066X.54.6.408
Eagly, A. H., & Wood, W. (2012). Social role theory. In P. A. M. Van Lange, A. Kruglanski, & E. T. Higgins (Eds.),
Handbook of theories of social psychology (pp. 458– 476). Sage Publications Ltd.
EIGE. (2019). Gender Equality Index 2019. Work- life balance. https://eige.europa.eu/publi catio ns/gende r- equal ity-
index - 2019- work- life- balance
Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross- sectional multilevel models: A new look at an
old issue. Psychological Methods, 12(2), 121– 138. https://doi.org/10.1037/1082- 989X.12.2.121
England, P. (2010). The gender revolution: Uneven and stalled. Gender & Society, 24(2), 149– 166. https://doi.
org/10.1177/08912 43210 361475
Eurofound. (1998). The EU parental leave agreement and directive: implications for national law and practice. https://
www.eurof ound.europa.eu/publi catio ns/repor t/1998/the- eu- paren tal- leave - agree ment- and- direc tive- impli catio ns-
for- natio nal- law- and- practice
Eurofound. (2019). Working conditions: Parental and paternity leave- uptake by fathers. https://ddd.uab.cat/pub/infpr
o/2019/21617 0/ef180 87en.pdf
Evertsson, M. (2014). Gender ideology and the sharing of housework and child care in Sweden. Journal of Family
Issues, 35(7), 927– 949. https://doi.org/10.1177/01925 13X14 522239
Frome, P. M., Alfeld, C. J., Eccles, J. S., & Barber, B. L. (2006). Why don’t they want a male- dominated job? An investi-
gation of young women who changed their occupational aspirations. Educational Research and Evaluation, 12(4),
359– 372. https://doi.org/10.1080/13803 61060 0765786
Fulcher, M., Sutfin, E. L., & Patterson, C. J. (2008). Individual differences in gender development: Associations with
parental sexual orientation, attitudes, and division of labor. Sex Roles, 58, 330– 341. https://doi.org/10.1007/s1119
9- 007- 9348- 4
Gaunt, R. (2006). Biological essentialism, gender ideologies, and role attitudes: What determines parents’ involvement
in child care. Sex Roles, 55(7– 8), 523– 533. https://doi.org/10.1007/s1119 9- 006- 9105- 0
Geisler, E., & Kreyenfeld, M. (2019). Policy reform and fathers’ use of parental leave in Germany: The role of education
and workplace characteristics. Journal of European Social Policy, 29(2), 273– 291. https://doi.org/10.1177/09589
28718 765638
Gracia, P., & Esping- Andersen, G. (2015). Fathers’ child care time and mothers’ paid work: A cross- national study
of Denmark, Spain, and the United Kingdom. Family Science, 6(1), 270– 281. https://doi.org/10.1080/19424
620.2015.1082336
Gutsell, J. N., & Remedios, J. D. (2016). When men lean out: Subtle reminders of child- raising intentions and men
and women’s career interests. Journal of Experimental Social Psychology, 67, 28– 33. https://doi.org/10.1016/j.
jesp.2015.09.007
Haas, L., & Hwang, C. P. (2019). Workplace support and European fathers’ use of state policies promoting shared child-
care. Community, Work & Family, 22(1), 1– 22. https://doi.org/10.1080/13668 803.2018.1556204
Han, W. J., & Waldfogel, J. (2003). Parental leave: The impact of recent legislation on parents’ leave taking. Demography,
40(1), 191– 200. https://doi.org/10.1353/dem.2003.0003
Honaker, J., King, G., & Blackwell, M. (2011). Amelia II: A program for missing data. Journal of Statistical Software,
45(7), 1– 47. https://doi.org/10.18637/ jss.v045.i07
Hook, J. L. (2006). Care in context: Men’s unpaid work in 20 countries, 1965– 2003. American Sociological Review,
71(4), 639– 660. https://doi.org/10.1177/00031 22406 07100406
ILO. (2014). Maternity and paternity at work: Law and practice across the world. International labour office. https://
www.ilo.org/wcmsp 5/group s/publi c/- - - dgrep orts/- - - dcomm/ - - - publ/docum ents/publi catio n/wcms_242615.pdf
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
29
Gender Gap in Leave Intentions
Jurado- Guerrero, T., & Muñoz- Comet, J. (2021). Design matters most: Changing social gaps in the use of fathers’
leave in Spain. Population Research and Policy Review, 40, 589– 615. https://doi.org/10.1007/s1111 3- 020-
09592 - w
Kasser, T. (2011). Cultural values and the well- being of future generations: A cross- national study. Journal of Cross-
Cultural Psychology, 42(2), 206– 215. https://doi.org/10.1177/00220 22110 396865
Kaufman, G. (2018). Barriers to equality: Why British fathers do not use parental leave. Community, Work & Family,
21(3), 310– 325. https://doi.org/10.1080/13668 803.2017.1307806
Knudsen, K., & Wærness, K. (2008). National context and spouses’ housework in 34 countries. European Sociological
Review, 24(1), 97– 113. https://doi.org/10.1093/esr/jcm037
Kutner, M. H., Nachtsheim, C. J., & Neter, J. (2004). Simultaneous inferences and other topics in regression analysis. In
Applied linear regression models (4th ed.). McGraw- Hill Irwin.
LeBreton, J. M., & Senter, J. L. (2008). Answers to 20 questions about interrater reliability and interrater agreement.
Organizational Research Methods, 11(4), 815– 852. https://doi.org/10.1177/10944 28106 296642
Ma, L., Andersson, G., Duvander, A. Z., & Evertsson, M. (2020). Fathers’ uptake of parental leave: Forerunners and laggards
in Sweden, 1993– 2010. Journal of Social Policy, 49(2), 361– 381. https://doi.org/10.1017/S0047 27941 9000230
Maas, C. J., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology, 1(3), 86– 92. https://doi.
org/10.1027/1614- 2241.1.3.86
Marynissen, L., Mussino, E., Wood, J., & Duvander, A. Z. (2019). Fathers’ parental leave uptake in Belgium and Sweden:
Self- evident or subject to employment characteristics? Social Sciences, 8(11), 312. https://doi.org/10.3390/socsc
i8110312
Meeussen, L., Van Laar, C., & Van Grootel, S. (2020). How to foster male engagement in traditionally female communal
roles and occupations: Insights from research on gender norms and precarious manhood. Social Issues and Policy
Review, 14(1), 297– 328. https://doi.org/10.1111/sipr.12060
Miyajima, T., & Yamaguchi, H. (2017). I want to but I won’t: Pluralistic ignorance inhibits intentions to take paternity
leave in Japan. Frontiers in Psychology, 8, 1508. https://doi.org/10.3389/fpsyg.2017.01508
Morgenroth, T., Ryan, M. K., & Peters, K. (2015). The motivational theory of role modeling: How role models influence
role aspirants’ goals. Review of General Psychology, 19(4), 465– 483. https://doi.org/10.1037/gpr00 00059
O’Brien, M. (2009). Fathers, parental- leave policies, and infant quality of life: International perspectives and pol-
icy impact. The Annals of the American Academy of Political and Social Science, 624(1), 190– 213. https://doi.
org/10.1177/00027 16209 334349
OECD. (2019). Share of tertiary graduates by field of education and gender [Data set]. https://stats.oecd.org/Index.
aspx?Query Id=10988 1#
OECD. (2020). Women at Work in G20 countries: Progress and policy action. https://www.oecd.org/g20/summi ts/
osaka/ G20- Women - at- Work.pdf
Omidakhsh, N., Sprague, A., & Heymann, J. (2020). Dismantling restrictive gender norms: Can better designed paternal
leave policies help? Analyses of Social Issues and Public Policy, 20(1), 382– 396. https://doi.org/10.1111/asap.12205
Patnaik, A. (2019). Reserving time for daddy: The consequences of fathers’ quotas. Journal of Labor Economics, 37(4),
1009– 1059. https://doi.org/10.1086/703115
Pedulla, D. S., & Thébaud, S. (2015). Can we finish the revolution? Gender, work- family ideals, and institutional con-
straint. American Sociological Review, 80(1), 116– 139. https://doi.org/10.1177/00031 22414 564008
Reimer, T. (2020). Why fathers don’t take more parental leave in Germany: comparing mechanisms in different work
organizations. Community, Work & Family, 23(4), 419– 438. https://doi.org/10.1080/13668 803.2019.1608157
Silverstein, L. B., Auerbach, C. F., & Levant, R. F. (2002). Contemporary fathers reconstructing masculinity: Clinical
implications of gender role strain. Professional Psychology: Research and Practice, 33(4), 361– 369. https://doi.or
g/10.1037/0735- 7028.33.4.361
Sullivan, O., Gershuny, J., & Robinson, J. P. (2018). Stalled or uneven gender revolution? A long- term processual
framework for understanding why change is slow. Journal of Family Theory & Review, 10(1), 263– 279. https://
doi.org/10.1111/jftr.12248
Tharp, D. T., & Parks- Stamm, E. J. (2021). Gender differences in the intended use of parental leave: Implications for human
capital development. Journal of Family and Economic Issues, 42, 47– 60. https://doi.org/10.1007/s1083 4- 020- 09722 - 8
Wayne, J. H., & Cordeiro, B. L. (2003). Who is a good organizational citizen? Social perception of male and female
employees who use family leave. Sex Roles, 49, 233– 246. https://doi.org/10.1023/A:10246 00323316
WEF. (2017). The global gender gap report 2017. http://www3.wefor um.org/docs/WEF_GGGR_2017.pdf
WEF. (2020). The global gender gap report 2020. http://www3.wefor um.org/docs/WEF_GGGR_2020.pdf
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
30 M.I.T. Olsson et al.
Supporting Information
Additional supporting information may be found in the online version of this article at the pub-
lisher’s web site:
Table SI1. Study Major by Gender and Country
Table SI2. Age and Subjective SES by Gender and Country
Table SI3. Correlations between the Gender Gap in the Intended Uptake of Parental Leave and
Country- Level Variables
Figure SI1. Intended uptake of parental leave by gender and sexual orientation.
Table SI4. Intended Uptake of Parental Leave by Gender and Country
Figure SI2. Women’s intended uptake of parental leave across countries.
Figure SI3. Men’s intended uptake of parental leave across countries
Table SI5. Career Ambition by Gender and Country
Table SI6. Correlations between Country- Level Variables
Table SI7. Model 3: Intended Uptake of Parental Leave Predicted by Gender and Cultural Value
Orientations
Table SI8. Full Model: Intended Uptake of Parental Leave Predicted by Gender, Financially
Generous Leave, Available Leave Length, Women’s Relative Representation in Politics, and
Egalitarian Value Orientation
Table SI9. Year Parental Leave was Available by Country
Figure SI4. Intended uptake of parental leave predicted by gender and attitudes toward
leadership.
Table SI10. Models 1– 3 with Robustness Checks
Table SI11. Models 1– 3 with Robustness Checks
Table SI12. Full Model with Robustness Checks
14679221, 0, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/pops.12880 by INASP (Tanzania), Wiley Online Library on [13/03/2023]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License