Women's employment status in Indonesia: An intersectionality-informed analysis of disability, household characteristics, and socioeconomic factors https://doi.org/10.35719/an-nisa.v19i1.467 Authors Putri Meliza Sari Universitas PGRI Sumatera Barat, Padang, Indonesia Rowiyah Asengbaramae Fatoni University, Pattani, Thailand Egi Kurniawan Inspectorate of West Sumatra Province, Padang, Indonesia Women's Employment Status, Intersectionality, Disability, Household Characteristics, Socioeconomic Factors Abstract How to Cite Metrics References Similar Articles Women's employment in Indonesia reflects inequalities associated with disability, household characteristics, socioeconomic resources, and residential location. This study examines differences in women's employment status by disability and assesses the associations between individual, household, and socioeconomic characteristics and seven employment categories. Using cross-sectional data from the 2021 Indonesian National Labor Force Survey (Sakernas), covering 207,276 women aged 15 years and older, the study employs descriptive analysis and multinomial logistic regression, with salaried employment as the reference category. Intersectionality serves as an interpretive framework. The findings show that women with disabilities have a lower proportion of salaried employment and a higher proportion of self-employment than women without disabilities. After controlling for other characteristics, disability is associated with a higher relative risk ratio for unpaid family work compared with salaried employment (RRR = 1.136). Household-head status and domestic workload are associated with higher relative risk ratios in selected non-salaried employment categories, while education is negatively associated with all six alternative categories. Work-related digital technology use shows negative associations with most employment categories but a positive association with self-employment involving permanent paid workers. Residential location also exhibits varying associations across employment categories. These findings highlight the differentiated relationships between women's employment status and individual, household, and socioeconomic characteristics. The study contributes an intersectionality-informed assessment of employment inequality and provides evidence to inform disability-inclusive employment policies, caregiving support, digital skills development, and geographically responsive employment programs. The cross-sectional findings do not establish causal relationships or statistical interactions. . Sari, P. M., Asengbaramae, R., & Kurniawan, E. (2026). Women’s employment status in Indonesia: An intersectionality-informed analysis of disability, household characteristics, and socioeconomic factors. An-Nisa’ Journal of Gender Studies, 19(1), 95-112. https://doi.org/10.35719/an-nisa.v19i1.467 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Downloads Download data is not yet available. References Abdulla, K., & Serikbayeva, B. (2024). Gender gaps in labor market outcomes in a resource-dependent country. Resources Policy, 90, 104685. https://doi.org/10.1016/j.resourpol.2024.104685 Adriani, D., & Yustini, T. (2021). Anticipating the demographic bonus from the perspective of human capital in Indonesia. International Journal of Research in Business and Social Science, 10(6), 141–152. https://doi.org/10.20525/ijrbs.v10i6.1377 Ahmad, R., Sharif, F., Ahmad, S., Gul, A., & Abdirasulovna, Z. A. (2024). Does the digital economy improve female employment? A cross-country panel data analysis. Heliyon, 10(13). https://doi.org/10.1016/j.heliyon.2024.e33535 Ali, B., Prasad, A. B., Dhillon, P., & Shaban, A. (2024). Sustaining the tradition in multigeneration families: Women’s time use and unpaid domestic work in India. Journal of Family and Economic Issues, 1–22. https://doi.org/10.1007/s10834-024-09948-w Ankita, & Singh, I. (2025). Education and women in high-skill occupations in India. Indian Growth and Development Review, 18(1), 1–19. https://doi.org/10.1108/IGDR-09-2023-0136 Bauer, G. R., Churchill, S. M., Mahendran, M., Walwyn, C., Lizotte, D., & Villa-Rueda, A. A. (2021). Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods. SSM – Population Health, 14, 100798. https://doi.org/10.1016/j.ssmph.2021.100798 Bechange, S., Jolley, E., Rozario, A. R., Mallick, U., Islam, T., Brown, S., & Schmidt, E. (2024). Navigating the journey into formal employment for youth with disabilities in Bangladesh: A qualitative study. Children and Youth Services Review, 160. https://doi.org/10.1016/j.childyouth.2024.107606 Bertay, A. C., Dordevic, L., & Sever, C. (2025). Gender inequality and economic growth: Evidence from industry-level data. Empirical Economics, 68(5), 2291–2326. https://doi.org/10.1007/s00181-024-02698-6 Brago, P., Danso-Abbeam, G., & Ogundeji, A. A. (2025). Determinants of women’s empowerment in agriculture: A multidimensional analysis. Journal of Social and Economic Development, 1–19. https://doi.org/10.1007/s40847-025-00416-1 Chacko, P. (2017). Women’s economic empowerment in the Indian Ocean region through gender equality in work: Building a common agenda. Journal of the Indian Ocean Region, 13(1), 111–118. https://doi.org/10.1080/19480881.2016.1263408 Chan, X. W., & Hutchings, K. (2023). Inequalities, barriers, intersectionality, and facilitators of careers of women with disabilities: Themes and future research agenda from a scoping review. Frontiers in Psychology, 14, 1104784. https://doi.org/10.3389/fpsyg.2023.1104784 Choi, S., Li, H., & Ogawa, K. (2023). Upper secondary vocational education and decent work in Indonesia: A gender comparison. International Journal of Educational Development, 101, Article 102833. https://doi.org/10.1016/j.ijedudev.2023.102833 Crenshaw, K. (1989). Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, 1989(1), 139–167. https://chicagounbound.uchicago.edu/uclf/vol1989/iss1/8 Crenshaw, K. (1991). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review, 43(6), 1241–1299. https://doi.org/10.2307/1229039 Deshpande, A., & Kabeer, N. (2024). Norms that matter: Exploring the distribution of women’s work between income generation, expenditure-saving and unpaid domestic responsibilities in India. World Development, 174, 106435. https://doi.org/10.1016/j.worlddev.2023.106435 Emon, M. M. H., & Nipa, M. N. (2024). Exploring the gender dimension in entrepreneurship development: A systematic literature review in the context of Bangladesh. Westcliff International Journal of Applied Research, 8(1). Fefoame, G. O., & Loryman, H. (2024). Towards a rights-based policy environment for the employment of persons with disabilities. In Handbook of Disability: Critical Thought and Social Change in a Globalizing World (pp. 1055–1069). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-6056-7_93 Ferreira, E., & Silva, M. J. (2025). Gender and digital technologies. Encyclopedia, 5(3), Article 111. https://doi.org/10.3390/encyclopedia5030111 Fincham, K. (2025). Women’s self-employment in informal settlements in Delhi, India: A pathway to empowerment? Journal of Human Development and Capabilities, 27(2), 165–191. https://doi.org/10.1080/19452829.2025.2572700 Ghosh, A., & Chopra, D. (2019). Paid work, unpaid care work and women’s empowerment in Nepal. Contemporary South Asia, 27(4), 471–485. https://doi.org/10.1080/09584935.2019.1687646 Guan, A., Thomas, M., Vittinghoff, E., Bowleg, L., Mangurian, C., & Wesson, P. (2021). An investigation of quantitative methods for assessing intersectionality in health research: A systematic review. SSM – Population Health, 16, 100977. https://doi.org/10.1016/j.ssmph.2021.100977 Gupta, S., Wei, M., Tzempelikos, N., & Shin, M. M. (2024). Women empowerment: Challenges and opportunities for sustainable development goals. Qualitative Market Research: An International Journal, 27(4), 608–630. https://doi.org/10.1108/QMR-11-2023-0160 Harris, J. M., & Patacchini, E. (2024). Closing the gender gap: Promoting labour market participation. In Handbook on Labour Markets in Transition (pp. 463–482). Edward Elgar Publishing. https://doi.org/10.4337/9781839106958.00031 Hetmańczyk, P. (2024). Digitalization and its impact on labour market and education: Selected aspects. Education and Information Technologies, 29(9), 11119–11134. https://doi.org/10.1007/s10639-023-12203-8 Hoffman, S. D., & Duncan, G. J. (1988). Multinomial and conditional logit discrete-choice models in demography. Demography, 25(3), 415–427. https://doi.org/10.2307/2061541 Hussein, H. (2025). Disability and gender: Analyzing the double disadvantage in education and employment. Indonesian Journal of Disability Studies, 12(1), 13–25. https://doi.org/10.21776/ub.ijds.2025.12.1.2 Jit, P., Singh, S., Goel, S., & Gupta, A. (2024). Probing the linkages between educational level and occupational choices of women working in urban informal sector of India. Work, 79(4), 1637–1652. https://doi.org/10.3233/WOR-220483 Kabbara, D. (2024). Women’s entrepreneurship policy: Enhancing female business ownership in the digital era. In Women Entrepreneurship Policy: Context, Theory, and Practice (pp. 125–150). Springer. https://doi.org/10.1007/978-981-97-3607-2_7 Leso, B. H., Cortimiglia, M. N., & Ghezzi, A. (2023). The contribution of organizational culture, structure, and leadership factors in the digital transformation of SMEs: A mixed-methods approach. Cognition, Technology & Work, 25(1), 151–179. https://doi.org/10.1007/s10111-022-00714-2 McFadden, D. (1987). Regression-based specification tests for the multinomial logit model. Journal of Econometrics, 34(1–2), 63–82. https://doi.org/10.1016/0304-4076(87)90067-4 Nennstiel, R., & Becker, R. (2025). Equal educational qualifications but unequal labor market outcomes: An exploration of gender disparities in occupational status and their mechanisms over five decades. Research in Social Stratification and Mobility, 98, 101070. https://doi.org/10.1016/j.rssm.2025.101070 Noor, A. (2024). Employment inclusion as a solution to overcome poverty and economic inequality in Indonesia. KnE Social Sciences, 9(17), 113–126. https://doi.org/10.18502/kss.v9i18.16342 Padonou, E. A., Avocevou-Ayisso, C. M. A., Zanou, M., Obe, M. M., Agbahoungba, S., & Sinsin, B. (2023). Effects of unpaid caring activities and social norms on women's employment in mangrove areas of Ramsar Site 1017 in Benin (West Africa). Social Sciences & Humanities Open, 7(1), 100387. https://doi.org/10.1016/j.ssaho.2022.100387 Qiu, L. J., Zhong, S. B., Sun, B. W., Song, Y., & Chen, X. H. (2021). Is internet penetration narrowing the rural–urban income inequality? A cross-regional study of China. Quality & Quantity, 55(5), 1795–1814. https://doi.org/10.1007/s11135-020-01081-8 Rana, M. Q., Fahim, S., Saad, M., Lee, A., Oladinrin, O. T., & Ojo, L. D. (2024). Exploring the underlying barriers for the successful transition for women from higher education to employment in Egypt: A focus group study. Social Sciences, 13(4), 195. https://doi.org/10.3390/socsci13040195 Roy, P. R., Raut, A., Samantaray, S., & Rana, A. (2024, January). Women and digital networking: Digital skill gap and its challenges. In 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) (pp. 1–5). IEEE. https://doi.org/10.1109/ASSIC60049.2024.10507999 Sarfraz, M., Andlib, Z., Kamran, M., Khan, N. U., & Bazkiaei, H. A. (2021). Pathways towards women empowerment and determinants of decent work deficit: A South Asian perspective. Administrative Sciences, 11(3), 80. https://doi.org/10.3390/admsci11030080 Setyonaluri, D., & Utomo, A. (2024). Negotiating work, family, and traffic: Articulations of married women's employment decisions in Greater Jakarta. Gender, Work & Organization, 31(6), 2423–2445. https://doi.org/10.1111/gwao.13069 Sharma, A., Mathur, M., Singh, U. B., & Zehra, N. (2025). Women’s Unpaid Work: A Systematic Literature Review and Bibliometric Analysis. Journal of Feminist Family Therapy, 38(1), 1–26. https://doi.org/10.1080/08952833.2025.2581409 Shava, E., & Muringa, T. P. (2025). Digital empowerment of women in the South African public sector. Frontiers in Sociology, 10, 1604857. https://doi.org/10.3389/fsoc.2025.1604857 Singh, S., Rahul, K., Paliwal, M., Wani, I. A., & Suri, S. (2025). Gendering the digital divide: A systematic review of women’s digital inclusion challenges and emerging research directions. Digital Transformation and Society, 4(4), 503–531. https://doi.org/10.1108/DTS-04-2025-0083 Susilo, Yuniashri, E., & Handrito, R. P. (2024). Women's tendency in work involvement: A study of female labour force in Indonesia. Economics and Sociology, 17(1), 151–165. https://doi.org/10.14254/2071-789X.2024/17-1/10 Taye, T. T., & Tesfaye, W. M. (2024). Time poverty and women's participation in non-farm work: Evidence from rural Ethiopia. Scientific African, 26, e02343. https://doi.org/10.1016/j.sciaf.2024.e02343 Tripathi, S., Zhai, F., & Azhar, S. (2024). Unpaid care work time and women's employment status: Evidence from India. The British Journal of Social Work, 54(8), 3509–3532. https://doi.org/10.1093/bjsw/bcae108 Tunçsiper, Ç. (2025). From digital divide to employment equity: How digitalization affects women’s involvement in the workforce in OECD countries. Multidisciplinary Journal of Gender Studies, 14(1), 63–78. https://doi.org/10.17583/generos.15672 Usman, M., Mario, M., Renita, R., Marissangan, H., & Muhammad, R. (2024). Job inclusion: Opportunities and barriers for people with disabilities. In Proceedings of the World Conference on Governance and Social Sciences (WCGSS 2023) (pp. 179–190). Atlantis Press. https://doi.org/10.2991/978-2-38476-236-1_19 Vajari, M. A., Aghabayk, K., Sadeghian, M., & Shiwakoti, N. (2020). A multinomial logit model of motorcycle crash severity at Australian intersections. Journal of Safety Research, 73, 17–24. https://doi.org/10.1016/j.jsr.2020.02.008 Wu, Y., Tong, L., & Yi, Y. (2024). Does having more children affect women’s informal employment choices? Evidence from China. Journal of Family and Economic Issues, 45(3), 562–578. https://doi.org/10.1007/s10834-023-09915-x Ye, R., & Cai, X. (2024). Digital transformation, gender discrimination, and female employment. Systems, 12(5), 162. https://doi.org/10.3390/systems12050162 Ziegler, A. (2005). A comparison between multinomial logit and probit models: Analyzing the determinants of environmental innovations. In Applications of Simulation Methods in Environmental and Resource Economics (pp. 97–116). Springer. https://doi.org/10.1007/1-4020-3684-1_6 Zwar, L., Angermeyer, M. C., Matschinger, H., Riedel-Heller, S. G., König, H. H., & Hajek, A. (2021). Are informal family caregivers stigmatized differently based on their gender or employment status? A German study on public stigma towards informal long-term caregivers of older individuals. BMC Public Health, 21(1), 1868. https://doi.org/10.1186/s12889-021-11955-7 Downloads Full Text (English) 2026-07-15 Vol. 19 No. 1 (2026): An-Nisa' Journal of Gender Studies Section Articles Copyright (c) 2026 Putri Meliza Sari, Rowiyah Asengbaramae, Egi Kurniawan This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. How to Cite Sari, P. M., Asengbaramae, R., & Kurniawan, E. (2026). Women’s employment status in Indonesia: An intersectionality-informed analysis of disability, household characteristics, and socioeconomic factors. An-Nisa’ Journal of Gender Studies, 19(1), 95-112. https://doi.org/10.35719/an-nisa.v19i1.467 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX