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All Journal Jurnal Matematika Sains dan Teknologi
Kayla Azka Dhiya Tsabithah
Politeknik Statistika STIS
Agriculture, Biological Sciences & Forestry Mathematics Other

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Application of Firth’s Logistic Regression in Analyzing Employment Status of Educated Women in Riau Kayla Azka Dhiya Tsabithah; Liza Kurnia Sari
Jurnal Matematika Sains dan Teknologi Vol. 26 No. 2 (2025)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v26i2.13672.2025

Abstract

The ongoing demographic bonus in Indonesia provides a strategic opportunity to promote inclusive development. To optimize this potential, the involvement of educated women is crucial and not just rely on the contribution of men. However, the women’s Labor Force Participation Rate (LFPR) has remained stagnant over the past two decades and gender inequality in employment persists to this day. Riau Province requires the most attention, as in the last three years it has recorded the lowest women’s LFPR nationally. Interestingly, data show that the proportion of educated women who are employed is actually lower than that of less educated women. This study applies Firth’s logistic regression to analyse the employment status of educated women in Riau Province in 2024. The method is employed to reduce estimation bias that may arise from data imbalance. The results indicate that ICT use, age, marital status, and place of residence have significant effects. These findings can support the development of more effective strategies to increase the employment status of educated women, particularly by strengthening ICT access and considering sociodemographic characteristics.
Co-Authors Liza Kurnia Sari