Analyzing the Characteristics of Highly Educated Unemployment in Indonesia’s Capital City
Abstract
Indonesia’s capital city, Jakarta, is facing a problem of highly educated unemployment, a phenomenon that has become a very serious issue as Indonesia's population continues to increase facing the demography dividend. This study aims to analyze the characteristics of highly educated unemployment in Jakarta, the biggest city in Indonesia. The logistic a regression model is used to analyze the labor force associated with important aspects such as highly educational attainment, age, gender, marital status, and status in the household. This study finds that being less-educated, young, male, single, and member of the household respectively increase the probability of being unemployed. However, it also finds that the total effect of highly educational attainment on the probability of employment peaks maximum value when the labor forces are single and head of the household and drops to the lowest value when the labor forces are married and member of the household.
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Anderberg, D., & Andersson, F. (2003). Stratification, Social Networks in the Labour Market, and Intergenerational Mobility.
Archer, E., & Chetty, Y. (2013). Graduate Employability: Conceptualisation and findings from the University of South Africa. Progressio, 35(1), 134–165. http://uir.unisa.ac.za/bitstream/handle/10500/11981/9. Progressio 35%281%292013_Archer_pp134-165.pdf?sequence=1
Becker, G. (1976). The Economic Approach to Human Behavior. 1st ed. London: The University of Chicago Press.
Blundell, R., & Walker, I. (1986). Unemployment, Search and Labor Supply (1st ed.). Cambridge University Press.
BPS. (2020). Statistik Indonesia 2020.
Comola, M., & de Mello, L. (2010). Educational attainment and selection into the labour market: The determinants of employment and earnings in Indonesia. 33(0). http://econpapers.repec.org/RePEc:hal:psewpa:halshs-00564835
David Garson, G. (2014). Logistic Regression:Binary and Multinomial. www.statisticalassociates.com
Dhanani, S. (2004). Unemployment and Underemployment in Indonesia , 1976-2000 : Paradoxes and Issues By (Issue January).
Digdowiseiso, K. (2020). The Development Of Higher Education In Indonesia. International Journal of Scientific & Technology Research, 1381 - 1385.
Fan, C. S., & Oded, S. (2007). International migration and “educated unemployment.” Journal of Development Economics, 83(1), 76 – 87.
Feng, Shuaizhang, et al. (2017). Long Run Trend in Unemployment and Labor Force Participation in Urban China. Journal of Comparative Economics, July 2017.
Haidy, N., Pasay, A., & Indrayanti, R. (2012). Pengangguran, Lama Mencari Kerja, dan Reservation Wage Tenaga Kerja Terdidik. Jurnal Ekonomi Dan Pembangunan Indonesia, 12(2), 116–135. https://doi.org/10.21002/jepi.v12i2.493
Huda, M. M., Subagiarta, I. W., Adenan, M., Iesp, J., Ekonomi, F., Unej, U. J., & Kalimantan, J. (2018). Determinan Pengangguran Terdidik Jawa Timur ( Determinant of Educated Unemployment East Java ). V(1), 48–52.
Jolianis, Adrimas, Bachtiar, N., & Muharja, F. (2020). Unemployment Duration of Educated Workers in the Provinces of Indonesia: A Cross Sectional Analysis From Labor Supply Perspectives. Journal of Applied Economic Sciences, 97-105.
Kataoka, M. (2017). Interprovincial differences in labour force distribution and utilization based on educational attainment in Indonesia, 2002–2015. Regional Science Policy and Practice, 11(1), 39–54. https://doi.org/10.1111/rsp3.12159
Keyfitz, N. (2006). Putting Trained Labour Power to Work: The Dilemma of Education and Employment. Bulletin OfIndonesian Economic Studies, 25(3), 35–55.
Klein, Markus. (2015). The increasing unemployment gap between the low and high educated in West germany. Social Science Research (2015).
Mohanty, Smrutirekha. (2021). A distributional analysis of the gender wage gap among technical degree and diploma holders in urban India. International Journal of Educational Development, 80 (2021).
Pratomo, D. S. (2016). How does the minimum wage affect employment statuses of youths?: evidence of Indonesia. Journal of Economic Studies, 43(2), 259–274. https://doi.org/10.1108/JES-07-2014-0131
Pratomo, D. S. (2017). Fenomena Pengangguran Terdidik di Indonesia. Sustainable Competitive Advantage, 7(September), 642–648.
Setyadi, D., Sudarso, Y., Nahar, M., & Sugiyanta, S. (2019). Duration of educated unemployment. Economic Journal of Emerging Markets, 11(2), 213–222. https://doi.org/10.20885/ejem.vol11.iss2.art8
Sipayung, F. L. (2010). Pengaruh Komponen Permintaan Agregat Terhadap Kesempatan Kerja dan Pola Penyerapan Tenaga Kerja Terdidik di Pulau Jawa Tahun 2001-2009.
UN. (2018). The Worlds Cities in 2018:data booklet .New York: United Nation.
Wirawan, I., & Sentosa, S. U. (2021). Analysis of Factors Affecting the UnemploymentRateof Educational Labor in Indonesia. Proceedings of the Seventh Padang International Conference On Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (PICEEBA 2021) (pp. 93-97). Padang: Atlantis Press.
DOI: http://dx.doi.org/10.17977/um002v14i22022p153
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