Employment Participation and Determinants of the Gender Wage Gap in the Head of the Household
DOI:
https://doi.org/10.12928/optimum.v12i2.6320Abstract
The distortion model becomes a problem in development planning, including in the development goals of reducing discrimination and concerns. These two things are closely related to gender expectations on work participation. The purpose of this study was to estimate the gender pay gap at the work participation rate of household heads in Magelang during the Covid-19 pandemic. The analytical tools used are Probit regression and the decomposition of the Blinder-Oaxaca model. The model decomposes wage differentials by gender. The study uses the 2020 SAKERNAS data. The results show that work participation for male household heads is determined by the marginal effect of work experience, age and area of residence, not education level and number of family dependents, while female household heads are only determined because of the number factor. family responsibilities. Furthermore, the potential work experience of male household heads has a significant negative effect. Research findings from the Blinder-Oaxaca Decomposition calculation show that the difference in wages between groups of household heads during the Covid 19 pandemic proved statistically significant. The role of the government is expected to be more active in disseminating policies related to gender in the labor market and exercising control over business actors in implementing labor regulations.
References
Anas, A., & Damayanti, M. G. A. (2018). Gender Gap pada Tingkat Partisipasi Kerja di Provinsi DKI Jakarta. Jurnal Ekonomi Dan Pembangunan Indonesia, 19(2), 56–78. https://doi.org/10.21002/jepi.v19i2.827
Borjas, G. (2016). Labor Economics (4th ed.). McGraw-Hill.
Cahuc, P., & Zylberberg, A. (2004). Labor Economics. MIT Press.
Dewi, M. M. (2019). Perbedaan Karakteristik Ketenagakerjaan Laki-Laki Dan Perempuan Di Kabupaten Sragen Tahun 2018. Jurnal Litbang Sukowati : Media Penelitian Dan Pengembangan, 4(1), 12. https://doi.org/10.32630/sukowati.v4i1.124
Doorley, K., O’Donoghue, C., & Sologon, D. M. (2021). The Gender Gap in Income and the Covid-19 Pandemic. In SSRN Electronic Journal (Issue 14360). https://doi.org/10.2139/ssrn.3851033
Ehrenberg, R. G., & Smith, R. S. (2012). Modern Labor Theory and Public Policy (11th ed.). Pearson.
FAO. (2021). World Food Situation. Fao.Org. http://www.fao.org/worldfoodsituation/foodpricesindex/en/
Hennigusnia, H. (2014). Kesenjangan Upah Antar Jender di Indonesia: Glass Ceiling Atau Sticky Floor? (Gender Wage Gap In Indonesia: Glass Ceiling Or Sticky Floor?). Jurnal Kependudukan Indonesia, 9(2), 83–96.
Indonesia, B.-S. (2020). Keadaan Angkatan Kerja di Indonesia.
Laili, M. H., & Damayanti, A. (2018). Kesenjangan Upah Antargender di Indonesia: Bukti Empiris di Sektor Manufaktur. Jurnal Ekonomi Dan Pembangunan Indonesia, 1–21. https://doi.org/10.21002/jepi.v0i0.1096
Lusiyanti, L. (2020). Kesenjangan Penghasilan Menurut Gender Di Indonesia. Jurnal Litbang Sukowati : Media Penelitian Dan Pengembangan, 4(1), 16. https://doi.org/10.32630/sukowati.v4i1.214
Mardiana. (2015). Kesenjangan Penghasilan Antar Gender di Indonesia Tahun 2013 Dengan Metode Dekomposisi Blinder-Oaxaca. Jurnal Aplikasi Statistika Dan Komputisasi Statistik, 7(1), 45–64.
McConnell, C., Brue, S., & Macpherson, D. (2016). Contemporary Labor Economics (11th ed.). McGraw-Hill Education.
Oaxaca, R. (1973). Male-Female wage differentials in Urban labor markets. International Economic Review1, 14, 693–709.
Pagán, J. A. (2002). Gender differences in labor market decisions in rural Guatemala. Review of Development Economics, 6(3), 428–441. https://doi.org/10.1111/1467-9361.00165
Pagán, J. A., & Sánchez, S. M. (2000). Gender differences in labor market decisions: Evidence from rural Mexico. Economic Development and Cultural Change, 48(3), 618–637. https://doi.org/10.1086/452612
Pirmana, V. (2006). Earnings Differential Between Male-Female In Indonesia : Evidence From Sakernas Data (Issue 6).
Psacharopoulus, G., & Tzannatos, Z. (1992). Case Studies on Women’s Employment and Pay in Latin America. World Bank.
Sugiharti, R. R., & Kurnia, A. S. (2018). Gender Wage Gap and Education: Case in Indonesia’s Labor Market. E3S Web of Conferences, 73, 11019. https://doi.org/10.1051/e3sconf/20187311019
Tank, P. T. (2018). Gender Pay Gap in Estonia: EMpirical Analysis. Gender Pay Gap in Estonia, March, 6–9. http://www.praxis.ee/en/works/assessing-gender-pay-gaps-in-estonia/
Tverdostup, M. (2021). Gender Gaps in Employment, Wages ang Work Hours: Assesment of Covid-19 Implications (No. 220; Issue June).
Zajkowska, O. (2013). Gender Pay Gap in Poland-Blinder-Oaxaca Decomposition. Quantitative Methods in Economics, XIV(2), 272–278. https://doi.org/10.1023/B:ECOP.0000005729.71467.38
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