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Journals / Psikoloji Çalışmaları / 2026 / Cilt: 42 Sayı: 2

The Relationship between Gender Gap in Employment and Hofstede’s Culture Dimensions depending on Country Scores

Ülke Verilerine göre İşgücüne Katılımda Cinsiyet Ayrımı ve Hofstede’nin Kültür Boyutları arasındaki İlişki

Hilal Terzi(MIDDLE EAST TECHNICAL UNIVERSITY)0000-0001-6561-3973
Fatih Özdemir(BURSA ULUDAG UNIVERSITY)0000-0003-1013-5366
Türker Özkan(MIDDLE EAST TECHNICAL UNIVERSITY)0000-0002-5501-9257
Pages
473–507
Publication Date
2022-09-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The main results indicated that after controlling economic development, women’s labor force participation rate was negatively related to country scores on uncertainty avoidance.

📌 3 Key Takeaways

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Objective & Hypothesis:Why is there a significant gender gap in the global labor force participation?
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Key Findings & Data:This research examined the associations between Hofstede’s culture dimensions (including power distance, individualism, masculinity, uncertainty avoidance, and long-term orientation) and gender gap in employment indicators (women’s and men’s labor force participation and vulnerable employment rates) after controlling the economy.
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Conclusion & Impact:The main results indicated that after controlling economic development, women’s labor force participation rate was negatively related to country scores on uncertainty avoidance.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:İşgücüne katılımda cinsiyet ayrımı · işgücüne katılım · kırılgan istihdam

Abstract

Why is there a significant gender gap in the global labor force participation? Is there a way to reduce vulnerable employment? May cultural values explain the gender gap in employment and male-dominant work structure? This research examined the associations between Hofstede’s culture dimensions (including power distance, individualism, masculinity, uncertainty avoidance, and long-term orientation) and gender gap in employment indicators (women’s and men’s labor force participation and vulnerable employment rates) after controlling the economy. Secondary data were obtained from Hofstede’s culture dimensions and World Bank databases. When the countries with missing data are excluded, remaining data of 60 countries make up the data set of the study. Two-step hierarchical regression analyses were performed, in which economic development was entered in the first step and study variables were included in the model in the second step. The main results indicated that after controlling economic development, women’s labor force participation rate was negatively related to country scores on uncertainty avoidance. In contrast, men’s labor force participation rate was negatively associated with country scores on power distance, individualism, and uncertainty avoidance. Besides, both women’s and men’s vulnerable employment rates were negatively related to country scores on individualism. The fact that more women and men participate in the labor force in countries with low power distance and uncertainty avoidance can be interpreted as women’s labor force participation creates new job opportunities that both women and men benefit from. The results may be useful for researchers who aim to see the current gender-based labor force participation patterns in different countries and understand the culture dynamics of economic gender gap.

Özet

Küresel işgücüne katılım oranlarında neden belirgin bir cinsiyet farkı var? Kırılgan istihdamı azaltmanın bir yolu var mı? Kültür değerleri işgücüne katılımda cinsiyet ayrımını ve erkek egemen çalışma yapısını açıklayabilir mi? Bu araştırma, ekonomi kontrol edildikten sonra Hofstede’nin kültür boyutları (güç mesafesi, bireycilik, erillik, belirsizlikten kaçınma ve uzun dönem yönelimlilik) ile işgücüne katılımda cinsiyet ayrımı belirteçleri (kadınların ve erkeklerin işgücüne katılımı ve kırılgan istihdam oranları) arasındaki ilişkiyi incelemektedir. Çalışmanın verileri Hofstede’nin kültür boyutlarından ve Dünya Bankası veritabanından elde edilmiştir. Eksik verisi olan ülkeler çalışma kapsamı dışına çıkarıldığında çalışmanın veri setini 60 ülkenin verisi oluşturmaktadır. Modele ilk aşamada ekonomik kalkınma verisi kontrol değişkeni olarak eklenirken, ikinci aşamada çalışmanın değişkenleri eklenerek veriler iki aşamalı hiyerarşik regresyon yöntemi ile analiz edilmiştir. Bulgular, ekonomik kalkınmayı kontrol ettikten sonra, kadınların işgücüne katılım oranının belirsizlikten kaçınma ülke puanlarıyla negatif yönde ilişkili olduğunu göstermiştir. Diğer taraftan, erkeklerin işgücüne katılım oranı ülkelerin güç mesafesi, bireycilik ve belirsizlikten kaçınma boyut puanlarıyla negatif ilişkili bulunmuştur. Ayrıca hem kadınların hem de erkeklerin kırılgan istihdam oranları, ülkelerin bireycilik konusundaki puanları ile olumsuz yönde ilişkili bulunmuştur. Güç mesafesinin ve belirsizlikten kaçınmanın düşük olduğu ülkelerde daha fazla kadın ve erkeğin işgücüne katıldığının bulunması, kadınların işgücüne katılımının hem kadınların hem de erkeklerin yararlandığı yeni iş fırsatları yarattığı şeklinde yorumlanabilir. Bulgular, farklı ülkelerdeki cinsiyet temelli işgücüne katılım modellerini ve ekonomik cinsiyet ayrımının kültür dinamiklerini anlamayı amaçlayan araştırmacılar için faydalı olabilir.

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Cite This Article

Terzi, H., Özdemir, F., Özkan, T. (2022). The Relationship between Gender Gap in Employment and Hofstede’s Culture Dimensions depending on Country Scores. Psikoloji Çalışmaları, Cilt: 42 Sayı: 2, 473–507. https://doi.org/10.26650/SP2021-941054

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References (121)

  1. Adeleye, N., Sultana, Y., Jamal, A., Nazeer, M., & Sankaran, A. (2019). Female vulnerable employment in India’s informal sector. International Journal of Gender and Women’s Studies, 7(2), 78-87. https://doi.org/10.15640/ijgws.v7n2p8 google scholar
  2. Alesina, A., Giuliano, P., & Nunn, N. (2013). On the origins of gender roles: Women and the plough. The Quarterly Journal ofEconomics, 128(2), 469-530. https://doi.org/10.1093/qje/qjt005 google scholar
  3. Appleton, S., Knight, J., Song, L., & Xia, Q. (2002). Labor retrenchment in China: Determinants and consequences. China Economic Review, 13(2-3), 252-275. https://doi.org/10.1016/S1043-951X(02)00067-6 google scholar
  4. Arrindell, W.A., Eisemann, M., Richter, J., Oei, T.P.S., Caballo, V.E., vanderEnde, J., Sanavio, E., Bages, N., Feldman, L., Torres, B., Sica, C., Iwawaki, S., Hatzichristou, C., (2003). Masculinity-Femininity as a national characteristic and its relationship with national agoraphobic fear levels: Fodor’s sex role hypothesis revitalized. Behaviour Research and Therapy, 41, 795-807. https://doi. org/10.1016/S0005-7967(02)00188-2 google scholar
  5. Beham, B., Prag, P., & Drobnic, S. (2012). Who’s got the balance? A study of satisfaction with the work-family balance among part-time service sector employees in five Western European countries. The International Journal of Human Resource Management 23(18), 3725-3741. https://doi.org/10.108 0/09585192.2012.654808 google scholar
  6. Benard, S., & Correll, S. J. (2010). Normative discrimination and the motherhood penalty. Gender & Society, 24(5), 616-646. https://doi.org/10.1177/0891243210383142 google scholar
  7. Benard, S., Paik, I., & Correll, S. J. (2008). Cognitive bias and the motherhood penalty. Hastings Law Journal, 59, 1359-1388. https://repository.uchastings.edu/hastings_law_journal/vol59/iss6/3 google scholar
  8. Best, D. L., & Williams, J. E. (1994). Masculinity/femininity in the self and ideal self descriptions of university students in fourteen countries. In A.M. Bouvy, F.J.R. Van de Vijver, P. Boski, & P. Schmitz, (Eds.), Journeys into cross-cultural psychology (pp. 297-306). Swets & Zeitlinger. google scholar
  9. Black, B. (1999). National culture and labour-market flexibility. International Journal of Human Resource Management, 10(4), 592-605. https://doi.org/10.1080/095851999340288 google scholar
  10. Blair-Loy, M. (2003). Competing devotions: Career and family among women executives. Harvard University Press. google scholar
  11. Blair-Loy, M., & Wharton, A. S. (2002). Employees’ use of family-responsive policies and the workplace social context. Social Forces, 80(3), 813-845. https://doi.org/10.1353/sof.2002.0002 google scholar
  12. Blair-Loy, M., & Wharton, A. S. (2004). Organizational commitment and constraints on work-family policy use: Corporate flexibility policies in a global firm. Sociological Perspectives, 47(3), 243267. https://doi.org/10.1525/sop.2004.47.3.243 google scholar
  13. Blau, F. D., & Kahn, L. M. (2017). The gender wage gap: Extent, trends, and explanations. Journal of Economic Literature, 55(3), 789-865. https://doi.org/10.1257/jel.20160995 google scholar
  14. Brewer, M. B., & Chen, Y. R. (2007). Where (who) are collectives in collectivism? Toward conceptual clarification of individualism and collectivism. Psychological Review, 114, 133-151. https://doi. org/0.1037/0033-295X.114.1.133 google scholar
  15. Burgess, J., & Connell, J. (2015). Vulnerable work and strategies for inclusion: An introduction. International Journal of Manpower, 36(6), 794-806. https://doi.org/10.1108/IJM-06-2015-0085 google scholar
  16. Carl, D., Gupta, V., & Javidan, M. (2004). Power Distance. In R. J. House, P. J. Hanges, M. Javidan, P. W. Dorfman, & V. Gupta (Eds.), Culture, leadership, and organizations: The GLOBE study of 62 societies (pp. 513-563). Sage Publications. google scholar
  17. Catalyst (2020, January 15). Pyramid: Women in S&P 500 companies. https://www.catalyst.org/ research/women-in-sp-500-companies. google scholar
  18. Cha, Y. (2010). Reinforcing separate spheres: The effect of spousal overwork on men’s and women’s employment in dual-earner households. American Sociological Review, 75(2), 303-29. https://doi. org/10.1177/0003122410365307 google scholar
  19. Chesley, N. (2011). Stay-at-home fathers and breadwinning mothers. Gender & Society, 25(5), 642664. https://doi.org/10.1177/0891243211417433 google scholar
  20. Cheung, H. Y., & Chan, A. W. H. (2007). How culture affects female inequality across countries: An empirical study. Journal of Studies in International Education, 11(2), 157-179. https://doi. org/10.1177/1028315306291538 google scholar
  21. Coker, M. (2018, June 22). How guardianship laws still control Saudi women. The New York Times. https://www.nytimes.com/2018/06/22/world/middleeast/saudi-women-guardianship.html google scholar
  22. Coltrane, S. (2004). Elite careers and family commitment: It’s (still) about gender. The Annals of the American Academy of Political and Social Science, 596(1), 214-220. https://doi. org/10.1177/0002716204268776 google scholar
  23. Coltrane, S., & Adams, M. (2008). Gender and families. Rowman & Littlefield. google scholar
  24. Coltrane, S., Miller, E. C., DeHaan, T., & Stewart, L. (2013). Fathers and the flexibility stigma. Journal of Social Issues, 69(2), 279-302. https://doi.org/10.1111/josi.12015. google scholar
  25. Cornwall, A., Gideon, J., & Wilson, K. (2008). Introduction: Reclaiming feminism: Gender and neoliberalism. IDS Bulletin, 39(6), 1-9. https://doi.org/10.1111/j.1759-5436.2008.tb00505.x google scholar
  26. Correll, S. J., Benard, S., & Paik, I. (2007). Getting a job: Is there a motherhood penalty? American Journal of Sociology, 112(5), 1297-1338. https://doi.org/10.1086/511799. google scholar
  27. Correll, S. J., Kelly, E. L., O’Connor, L. T., & Williams, J. C. (2014). Redesigning, redefining work. Work and Occupations, 41(1), 3-17. https://doi.org/10.1177/0730888413515250 google scholar
  28. Cuddy, A. J. C., Fiske, S. T., & Glick, P. (2004). When professionals become mothers, warmth doesn’t cut the ice. Journal of Social Issues, 60(4), 701-718. https://doi.org/10.1111/j.0022-4537.2004.00381.x google scholar
  29. Damaske, S. (2011). For the family? How class and gender shape women’s work. Oxford University Press. google scholar
  30. Damaske, S. (2020). Job loss and attempts to return to work: Complicating inequalities across gender and class. Gender & Society, 34(1), 7-30. https://doi.org/10.1177/0891243219869381 google scholar
  31. Das, S., & Kotikula, A. (2019). Gender-based employment segregation: Understanding causes and policy interventions. World Bank, Washington, DC. License: Creative Commons Attribution CC BY 3.0 IGO. https://documents1.worldbank.org/curated/en/483621554129720460/pdf/Gender-Based-Employment-Segregation-Understanding-Causes-and-Policy-Interventions.pdf google scholar
  32. Dicke, A.-L., Safavian, N., & Eccles, J. S. (2019). Traditional gender role beliefs and career attainment in STEM: A gendered story? Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01053 google scholar
  33. Ely, R. J., Stone, P., & Ammerman, C. (2014, December). Rethink what you ‘know’ about high-achieving women. Harvard Business Review, 92, 101-109. https://hbr.org/2014/12/rethink-what-you-know-about-high-achieving-women google scholar
  34. Eriksson, S., & Lagerström, J. (2012). Detecting discrimination in the hiring process: Evidence from an Internet-based search channel. Empirical Economics, 43, 537-563. https://doi.org/10.1007/s00181-011-0496-6 google scholar
  35. Fernandez, R., & Fogli, A. (2009). Culture: An empirical investigation of beliefs, work and fertility. American Economic Journal: Macroeconomics, 1(1), 146-167. https://doi.Org/10.1257/mac.1.1.146 google scholar
  36. Friedman, B. A. (2007). Globalization implications for human resource management roles. Employee Responsibilities and Rights Journal, 19, 157-171. https://doi.org/10.1007/s10672-007-9043-1 google scholar
  37. Fuegen, K., Biernat, M., Haines, E., & Deaux, K. (2004). Mothers and fathers in the workplace: How gender and parental status influence judgments of job-related competence. Journal of Social Issues, 60(4), 737-754. https://doi.org/10.1111/j.0022-4537.2004.00383.x google scholar
  38. Gammarano, R. (2019). Persons outside the labour force: How inactive are they really? Delving into the potential labour force with ILO harmonized estimates. ILOSTAT Spotlight on Work Statistics. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---stat/documents/publication/ wcms_714359.pdf google scholar
  39. Garcia, M. F., Posthuma, R. A., & Roehling, M. V. (2009). Comparing preferences for employing males and nationals across countries: extending relational models and social dominance theory. The International Journal of Human Resource Management, 20(12), 2471-2493. https://doi. org/10.1080/09585190903363797 google scholar
  40. Geert Hofstede (2015). Dimension data matrix. [Data set]. https://geerthofstede.com/wp-content/ uploads/2016/08/6-dimensions-for-website-2015-12-08-0-100.xls google scholar
  41. Giles, J., Park, A., & Cai, F. (2006). Reemployment of dislocated workers in urban China: The roles of information and incentives. Journal of Comparative Economics, 34(3), 582-607. https://doi. org/10.1016/j.jce.2006.06.006 google scholar
  42. Gokhool, S., Kasseeah, H., & Tandrayen-Ragoobur, V. (2018). Vulnerable employment in Mauritius: Experience of an upper-middle-income country. International Journal of Development Issues, 17(2), 187-204. https://doi.org/10.1108/IJDI-11-2017-0180 google scholar
  43. Goldin, C. (1995). The u-shaped female labor force function in economic development and economic history. In T. P. Schultz (Ed.), Investment in women’s human capital and economic development (pp. 61-90). University of Chicago Press. google scholar
  44. Gupta, N. (2017). Gender inequality in the work environment: A study of private research organizations in India. Equality, Diversity and Inclusion: An International Journal, 36(3), 255-276. https://doi. org/10.1108/EDI-04-2016-0029 google scholar
  45. Harris, B. (2017). What is the gender gap (and why is it getting wider)? Retrieved from https://www. weforum.org/agenda/2017/11/the-gender-gap-actually-got-worse-in-2017 google scholar
  46. Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. Sage. google scholar
  47. Hofstede, G. (1984). Culture’s consequences: International differences in work-related values. Sage. google scholar
  48. Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Sage. google scholar
  49. Hofstede, G. (2006). What did GLOBE really measure? Researchers’ minds versus respondents’ minds. Journal of International Business Studies (JIBS), 37(6), 882-896. https://doi.org/10.1057/palgrave. jibs.8400233 google scholar
  50. Hofstede, G. (2007). A European in Asia. Asian Journal of Social Psychology, 10, 16-21. https://doi. org/10.1111/j.1467-839X.2006.00206.x google scholar
  51. Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology and Culture, 2(1), 1-26. https://doi.org/10.9707/2307-0919.1014 google scholar
  52. Hofstede, G., & Bond, M. H. (1988). The Confucius connection: From cultural roots to economic growth. Organizational Dynamics, 16, 4-21. https://doi.org/10.1016/0090-2616(88)90009-5 google scholar
  53. Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (Rev.3rd ed.). McGraw-Hill. google scholar
  54. Holt, H. & Lewis, S. (2011). You can stand on your head and still end up with lower pay: Gliding segregation and gendered work practices in Danish ‘family-friendly’ workplaces. Gender, Work and Organization, 18(S1), e202-e211. https://doi.org/10.1111/j.1468-0432.2009.00501.x google scholar
  55. ILO Workquality (International Labour Organization, 2019). Women at Work in G20 countries: Progress and policy action since 2018. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---cabinet/documents/publication/wcms_713373.pdf google scholar
  56. Inglehart, R., Haerpfer, C., Moreno, A., Welzel, C., Kizilova, K., Diez-Medrano, J., Lagos, M., Norris, P., Ponarin E., & Puranen, B. et al. (Eds.). (2014). World Values Survey: Round six-country-pooled data file 2010-2014. JD Systems Institute. http://www.worldvaluessurvey.org/ WVSDocumentationWV6.jsp. google scholar
  57. International Labour Organization (ILO, 2016). Women at Work Trends 2016. http://www.ilo.org/ wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_457317.pdf google scholar
  58. International Labour Organization (ILO, 2017). World employment and social outlook: Trends for women 2017. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/ publication/ wcms_557245.pdf google scholar
  59. International Labour Organization (ILO, 2018). World employment social outlook: Trends for women 2018 - Global snapshot. https://www.ilo.org/wcmsp5/groups/public/—dgreports/—dcomm/— publ/documents/publication/wcms_619577.pdf google scholar
  60. International Labour Organization (ILO, 2020). World employment and social outlook trends 2020. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/ wcms_734455.pdf google scholar
  61. Jacobs, J., & Gerson, K. (2004). The time divide: Work, family, and gender inequality. Harvard University Press. google scholar
  62. James, C. G. (2007). Law’s response to pregnancy/workplace conflicts: A critique. Feminist Legal Studies, 15, 167-188. https://doi.org/10.1007/s10691-007-9055-0 google scholar
  63. Jeknic, R. (2014). Gender equality, young women and culture in the context of the “masculinity/ femininity” as a dimension in Geert Hofstede’s model of “national culture”. Zbornik radova Pravnog fakulteta u Splitu, 51(3), 681-696. https://hrcak.srce.hr/124141 google scholar
  64. Jordan, A. H., & Zitek, E. M. (2012). Marital status bias in perceptions of employees. Basic and Applied SocialPsychology, 34(5), 474-481. https://doi.org/10.1080/01973533.2012.711687 google scholar
  65. Kannan, K. P. & Raveendran, G. (2012). Counting and profiling of missing labour force. Economic and Political Weekly, 17(6), 77-80. google scholar
  66. Kaur-Ballagan, K., & Skinner, G. (2017). Three in four women around the world believe there are unequal rights in their country. https://www.ipsos.com/ipsos-mori/en-uk/three-four-women-around-world-believe-there-are-unequal-rights-their-country google scholar
  67. Kirkpatrick, D. L. (2006). Seven keys to unlock the four levels of evaluation. Performance Improvement, 45(7), 5-9. https://doi.org/10.1002/pfi.2006.4930450702 google scholar
  68. Korinek, J. (2005). Trade and gender: Issues and interactions (OECD Trade Policy Working Paper No. 24). Organisation for Economic Co-operation and Development (OECD). https://doi. org/10.1787/826133710302 google scholar
  69. Kring, S. A. (2017). Gender in employment policies and programmes: What works for women? (ILO Working Paper No. 235). International Labor Office. https://www.ilo.org/wcmsp5/groups/public/---ed_emp/documents/publication/wcms_613536.pdf google scholar
  70. Kulik, L. (2000). Jobless men and women: A comparative analysis of job search intensity, attitudes toward unemployment, and related responses. Journal of Occupational and Organizational Psychology, 73(4), 487-500. https://doi.org/10.1348/096317900167173 google scholar
  71. Legerski, E. M., & Cornwall, M. (2010). Working-class job loss, gender, and the negotiation of household labor. Gender & Society, 24(4), 447-474. https://doi.org/10.1177/0891243210374600 google scholar
  72. Lewis, S. (2001). Restructuring workplace cultures: The ultimate work-family challenge?. Women in Management Review, 16(1), 21-29. https://doi.org/10.1108/09649420110380256 google scholar
  73. Littrell, R. F., & Bertsch, A. (2013). UN Millennium Development Goals and gender equality in employment in the Middle East. Foresight, 15(4), 249-263. https://doi.org/10.1108/fs-04-2012-0024 google scholar
  74. Luci, A. (2009). Female labour market participation and economic growth. International Journal of Innovation and Sustainable Development, 4(2), 97-108. https://doi.org/10.1504/IJISD.2009.028065 google scholar
  75. McKinsey Global Institute (2018). The power of parity: Advancing women’s equality in Asia Pacific. https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Gender%20Equality/ The%20power%20of%20parity%20Advancing%20womens%20equality%20in%20Asia%20 Pacific/MGI-The-power-of-parity-Advancing-womens-equality-in-Asia-pacific-Executive-summary.ashx google scholar
  76. McKinsey Global Institute (2019). The power of parity Advancing women’s equality in Africa. https:// www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Gender%20Equality/The%20 power%20of%20parity%20Advancing%20womens%20equality%20in%20Africa/MGI-The-power-of-parity%20Advancing%20womens%20equality%20in%20Africa.pdf google scholar
  77. Milazzo, A., & Goldstein, M. (2017). Governance and women’s economic and political participation: Power inequalities, formal constraints and norms. World Development Report 2017 Background Paper. World Bank, Washington, DC. http://documents.worldbank.org/curated/ en/506661497953688370/pdf/WDR17-BP-Governance-and-Womens-Participation-Milazzo-Goldstein.pdf google scholar
  78. Musawah (2018). Thematic report on Muslim family law and Muslim women’s rights in Saudi Arabia. https://tbinternet.ohchr.org/Treaties/CEDAW/Shared%20Documents/SAU/INT_CEDAW_NGO_ SAU_30191_E.pdf google scholar
  79. OECD Data (Organisation for Economic Co-operation and Development, 2020). Part-time employment rate [Data set]. https://data.oecd.org/emp/part-time-employment-rate.htm google scholar
  80. Oishi, A.S., Chan, R. K. H., Wang, L. L., & Kim, J. (2015). Do part-time jobs mitigate workers’ work-family conflict and enhance well-being? New evidence from four East-Asian Societies. Social Indicators Research, 121(1), 5-25. https://doi.org/10.1007/s11205-014-0624-8 google scholar
  81. Olivetti, C. (2013). The female labor force and long-run development: The American experience in comparative perspective. https://www.bu.edu/econ/ files/2012/11/olivetti_chapter_November2013_ complete.pdf google scholar
  82. Ortiz-Ospina, E., Tzvetkova, S., & Roser, M. (2018, March). Women’s employment. Our World in Data. https://ourworldindata.org/female-labor-supply google scholar
  83. Ostry, J. D., Alvarez, J., Espinoza, R. A., & Papageorgiou, C. (2018). Economic gains from gender inclusion: New mechanisms, new evidence. Retrieved from https://www.imf.org/en/Publications/ Staff-Discussion-Notes/Issues/2018/10/09/Economic-Gains-From-Gender-Inclusion-New-Mechanisms-New-Evidence-45543 google scholar
  84. Padavic, I., Ely, R. J., & Reid, E. M. (2020). Explaining the persistence of gender inequality: The work-family narrative as a social defense against the 24/7 work culture. Administrative Science Quarterly, 65(1), 61-111. https://doi.org/10.1177/0001839219832310 google scholar
  85. Pan American Health Organization. (2010). The invisible economy and gender inequalities: The importance of measuring and valuing unpaid work. http://www1.paho.org/hq/dmdocuments/2010/ unpaid_work.pdf google scholar
  86. Park, S., & Lemaire, J. (2011). Culture matters: Long-term orientation and the demand for life insurance. Asia-Pacific Journal of Risk and Insurance, 5(2), 2153-3792. https://doi.org/10.2202/2153-3792.1105 google scholar
  87. Reid, E. (2015). Embracing, passing, revealing, and the ideal worker image: How people navigate expected and experienced professional identities. Organization Science, 26(4), 997-1017. https:// doi.org/10.1287/orsc.2015.0975 google scholar
  88. Ridgeway, C. L., & Correll, S. J. (2004). Unpacking the gender system: A theoretical perspective on gender beliefs and social relations. Gender & Society, 18(4), 510-531. https://doi. org/10.1177/0891243204265269 google scholar
  89. Roeters, A., & Craig, L. (2014). Part-time work, women’s work-life conflict, and job satisfaction: A cross-national comparison of Australia, the Netherlands, Germany, Sweden, and the United Kingdom. International Journal of Comparative Sociology, 55(3), 185-203. https://doi. org/10.1177/0020715214543541 google scholar
  90. Saunders, R. (2006). Risk and opportunities: Creating options for vulnerable workers. Canadian Policy Research Networks. google scholar
  91. Schwartz, S. H. (2006). A theory of cultural value orientations: Explication and applications. Comparative Sociology, 5(2/3), 137-182. https://doi.org/10.1163/156913306778667357 google scholar
  92. Seguino, S. (2010). The global economic crisis, its gender and ethnic implications and policy responses. Gender and Development 18(2), 179-199. https://doi.org/10.1080/13552074.2010.491318 google scholar
  93. Solbes-Canales, I., Valverde-Montesino, S., & Herranz-Hernandez, P. (2020). Socialization of gender stereotypes related to attributes and professions among young spanish school-aged children. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00609 google scholar
  94. Statista (2015, September). Percentage of GDP contributed by female workers, as of 2015, by region. https://www.statista.com/statistics/523838/women-share-of-gdp-region google scholar
  95. Stone, P. (2007). Opting out? Why women really quit careers and head home. University of California Press. google scholar
  96. Townsend, N. W. (2002). The package deal: Marriage, work, and fatherhood in men’s lives. Temple University Press. google scholar
  97. Triandis, H. C. (1995). Individualism and Collectivism. Westview. google scholar
  98. Turco, C. J. (2010). Cultural foundations of tokenism: Evidence from the leveraged buyout industry. American Sociological Review, 75, 894-913. https://doi.org/10.1177/0003122410388491 google scholar
  99. Tyler, K. (2002, June 1). Agenda/Training & Development: Evaluating evaluations. HR Magazine. https://www.shrm.org/hr-today/news/hr-magazine/pages/0602agn-traindev.aspx google scholar
  100. Wagner, J. A, & Hollenbeck, J. R (2005). Organizational behavior. Securing competitive advantage. Thomson South-Western. google scholar
  101. WEF (World Economic Forum, 2018). The global gender gap report. http://www3.weforum.org/docs/ WEF_GGGR_2018.pdf google scholar
  102. Wharton, A. S., Chivers, S., & Blair-Loy, M. (2008). Use of formal and informal work- family policies on the digital assembly line. Work and Occupations, 35(3), 327-350. https://doi. org/10.1177/0730888408316393 google scholar
  103. Williams, J. C., Blair-Loy, M., & Berdahl, J. L. (2013). Cultural schemas, social class, and the flexibility stigma. Journal of Social Issues, 69(2), 209-234. https://doi.org/10.1111/josi.12012 google scholar
  104. World Atlas (2020, August 26). How many countries are there in the world? https://www.worldatlas.com/articles/how-many-countries-are-in-the-world.html. google scholar
  105. World Bank (2012). World development report 2012: Gender equality and development. World Bank. https://openknowledge.worldbank.org/handle/10986/4391 google scholar
  106. World Bank (2020). Women, business and the law 2020. Women, Business and the Law. Washington, DC: World Bank. https://doi.org/10.1596/978-1-4648-1532-4 google scholar
  107. World Bank Data (2020a). GNI per capita, Atlas method (current US$) (1120986). [Data set]. The World Bank Group. https://data.worldbank.org/indicator/NY.GNP.ATLS.CD google scholar
  108. World Bank Data (2020b). Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate) (1121364). [Data set]. The World Bank Group. https://data.worldbank.org/ indicator/SL.TLF.CACT.FE.ZS google scholar
  109. World Bank Data (2020c). Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate) (1121745). [Data set]. The World Bank Group. https://data.worldbank.org/ indicator/SL.TLF.CACT.MA.ZS google scholar
  110. World Bank Data (2020d). Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate) (1506693). [Data set]. The World Bank Group. https://data.worldbank.org/ indicator/SL.TLF.CACT.ZS google scholar
  111. World Bank Data (2020e). Labor force, total (1496523). [Data set]. The World Bank Group. https:// data.worldbank.org/indicator/SL.TLF.TOTL.IN google scholar
  112. World Bank Data (2020f). School enrollment, secondary, female (% gross) (1506272). [Data set]. The World Bank Group. https://data.worldbank.org/indicator/SE.SEC.ENRR.FE google scholar
  113. World Bank Data (2020g). School enrollment, secondary, male (% gross) (1513414) [Data set]. The World Bank Group. https://data.worldbank.org/indicator/SE.SEC.ENRR.MA google scholar
  114. World Bank Data (2020h). School enrollment, tertiary, female (% gross) (1499262). [Data set]. The World Bank Group. https://data.worldbank.org/indicator/SE.TER.ENRR.FE google scholar
  115. World Bank Data (2020i). School enrollment, tertiary, male (% gross) (1506945). [Data set]. The World Bank Group. https://data.worldbank.org/indicator/SE.TER.ENRR.MA google scholar
  116. World Bank Data (2020j). Vulnerable employment, female (% of female employment) (modeled ILO estimate) (1121509). [Data set]. The World Bank Group. https://data.worldbank.org/indicator/ SL.EMP.VULN.FE.ZS google scholar
  117. World Bank Data (2020k). Vulnerable employment, male (% of male employment) (modeled ILO estimate) (1121519). [Data set]. The World Bank Group. https://data.worldbank.org/indicator/ SL.EMP.VULN.MA.ZS google scholar
  118. World Bank Data Team (2018, July 1). New country classifications by income level: 2018- 2019. google scholar
  119. World Bank Blogs. https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2018- 2019 google scholar
  120. World Bank Group (2015). Women, business and the law 2016: Getting to equal. Washington, D.C: World Bank. https://doi.org/10.1596/978-1-4648-0677-3. google scholar
  121. World Economic Forum (WEF, n.d.). Measuring the global gender gap. Retrieved from https://reports. weforum.org/global-gender-gap-report-2018/measuring-the-global- gender-gap/ google scholar