Who get paid higher? A study on wages decomposition between manufacturing and non-manufacturing workers in Indonesia

Authors

  • Arief Ibrahim Department of Economics, Faculty of Economics and Business, Universitas Andalas, Indonesia
  • Nasri Bachtiar Department of Economics, Faculty of Economics and Business, Universitas Andalas, Indonesia
  • Elvina Primayesa Department of Economics, Faculty of Economics and Business, Universitas Andalas, Indonesia

DOI:

https://doi.org/10.22437/ppd.v10i6.20744

Keywords:

Blinder-Oaxaca, Indonesia, Wages

Abstract

In 2008, Indonesia became a member of the G20, and it is estimated that in 2030 it will be in the top seventh economic countries if it can keep growing. Nevertheless, high economic growth was followed by an inequality problem. This study will analyze the wage gap between manufacturing and non-manufacturing workers. Using Sakernas 2020 and the Mincer wage model regression, the result showed that all independent variables: age, level of education, gender, region of residence, marital status, toddler, disability status, and certificate training influence wages for both manufacturing and non-manufacturing workers. Next, the Blinder-Oaxaca method decomposes the wage gap between both groups. It is shown that manufacturing workers get higher wages than non-manufacturing workers because of differences in the characteristic of workers and also industry attributes which, in this case, capital intensity.

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References

Anker, R., Melkas, H., & Koren, E. (2000). Gender and Jobs, Sex Segregation of Occupations in the World, Geneva: International Labour Office, 1998, paperback 45 Swiss francs, xii+444 pp. Work Employment and Society - WORK EMPLOY SOC, 14, 401-416. doi:10.1017/S0950017000210234

Baker, M. J., & Jacobsen, J. P. (2007). Marriage, Specialization, and the Gender Division of Labor. Journal of Labor Economics, 25(4), 763-793. https://doi.org/10.1086/522907

Blinder, A. S. (1973). Wage Discrimination: Reduced Form and Structural Estimates. The Journal of Human Resources, 8(4), 436-455. https://doi.org/10.1086/522907

BPS. (2022a). Gini Ratio Menurut Provinsi dan Daerah 2021-2022. https://www.bps.go.id/indicator/23/98/1/gini-ratio-menurut-provinsi-dan-daerah.html

BPS. (2022b). PMTB Menurut Lapangan Usaha. https://www.bps.go.id/indicator/179/2070/1/pmtb-menurut-lapangan-usaha.html

Burstein, A., & Vogel, J. (2017). International Trade, Technology, and the Skill Premium. Journal of Political Economy, 125(5), 1356-1412. https://doi.org/10.1086/693373.

Carpio, X. D., Nguyen, H., Pabon, L., & Wang, L. C. (2015). Do Minimum Wages Affect Employment? Evidence from The Manufacturing Sector in Indonesia. IZA Journal of Labor & Development, 4(17), 1-30. https://doi.org/10.1186/s40175-015-0040-8

Cohen, Y., & Haberfeld, Y. (1991). Why Do Married Men Earn More Than Unmarried Men? Social Science Research, 20(1), 29-44, https://doi.org/10.1016/0049-089X(91)90002-K

Correa, J. A., Lorca, M., & Parro, F. (2018). Capital–Skill Complementarity: Does Capital Composition Matter? The Scandinavian Journal of Economics, 121(1), 89-116. https://doi.org/10.1111/sjoe.12267

Das, D. K., Wadhwa, D., & Kalita, G. (2009). The Employment Potential of Labor Intensive Industries in India's Organized Manufacturing. ICRIER Working Paper no. 236. http://hdl.handle.net/10419/176254

Dickens, W., & Katz, L. (1987). Inter-Industry Wage Differences and Theories of Wage Determination. NBER Working paper No 2271. https://doi.org/10.3386/w2271

Du Caju, P., Kátay, G., Lamo, A., Nicolitsas, D., & Poelhekke, S. (2010). Inter-industry wage differentials in EU countries: what do cross-country time varying data add to the picture? . Journal of the European Economic Association, 8, 478-486. https://doi.org/10.1111/j.1542-4774.2010.tb00518.x

Forbes, M., Barker, A., & Turner, S. (2010). The Effects of Education and Health on Wages and Productivity. Productivity Commission Staff Working Paper, Melbourne. https://www.pc.gov.au/research/supporting/education-health-effects-wages/education-health-effects-wages.pdf

Griliches, Z. (1969). Capital-Skill Complementarity. The Review of Economics and Statistics, 51(4), 465-468. https://EconPapers.repec.org/RePEc:tpr:restat:v:51:y:1969:i:4:p:465-68.

Gujarati, D. N. (2003). Basic Economentrics (Fourth Edition ed.). New York: McGraw-Hill.

Hennigusnia. (2014). Kesenjangan Upah Antar Jender di Indonesia: Glass Ceiling Atau Sticky Floor. Jurnal Kependudukan Indonesia, 9(2), 83-96. https://doi.org/10.14203/jki.v9i2.37.

Herrera-Idaraga, P., Lopez-Bazo, E., & Motellon, E. (2016). Regional Wage Gaps, Education and Informality in an Emerging Country The Case of Colombia. Spatial Economic Analysis, 11(4), 432-456,. https://doi.org/10.1080/17421772.2016.1190462

Hewitt, B., Western, M., & Baxter, J. (2002). Marriage and Money: The Impact of Marriage on Men's and Women's Earnings. The Australian Sociological Association Conference 2002, Brisbane, QUT, July, 2002. https://espace.library.uq.edu.au/view/UQ:162459.

Kapsos, S. (2008). The Gender Wage Gap in Bangladesh. ILO Asia-Pacific Working Paper Series. https://www.ilo.org/wcmsp5/groups/public/@asia/@ro-bangkok/documents/publication/wcms_098063.pdf

Krueger, A., & Summers, L. (1988). Efficiency Wages and the Inter-industry Wage Structure. Econometrica, 56(2), 259-293.https://doi.org/10.2307/1911072

Laurensia, M. L. J., & Yuliana, L. (2020). Penerapan Metode Dekomposisi Blinder-Oaxaca Untuk Menganalisis Kesenjangan Upah Antar Gender Di Provinsi Kalimantan Timur Tahun 2018. Prosiding Seminar Nasional Official Statistics 2020. https://doi.org/10.34123/semnasoffstat.v2020i1.475

Menezes, T., & Raposo, I. (2011). Wage Differentials By Firm Size: Theefficiency Wage Test In Brazil. Estudos Econômicos, 44(1), 45-67. https://doi.org/10.1590/S0101-41612014000100002

Motellon, E., Lopez-Baso, E., & El-Attar, M. (2011). Regional Heterogeneity in Wage Distribution: Evidence From Spain, 51(3), 558-584. Journal of Regional Science, https://doi.org/10.1111/j.1467-9787.2011.00714.x

Nanfosso, R. T., & Akono, C. Z. (2009). Migration and Wages Differentials in Urban Cameroon. Research in Applied Economics, 1(1), 1-20. https://doi.org/10.5296/rae.v1i1.139

Nasution, R., & Yuniasih, A. F. (2022). Analisis Kesenjangan Upah Antargender di Kawasan Timur Indonesia pada Masa Sebelum dan Saat Pandemi. Aspirasi: Jurnal Masalah-masalah Sosial, 13(2), 187–204. https://doi.org/10.46807/aspirasi.v13i2.3272.

Nogroho, W. (2016). Perbedaan Upah Pekerja Migran dan Non Migran di Indonesia (Dekomposisi Blinder Oaxaca). [Master’s thesis Universitas Indonesia]. Universitas Indonesia Library. https://lib.ui.ac.id/detail.jsp?id=20389769

Oaxaca, R. (1973). Male-Female Wage Differentials in Urban Labor Markets. International Economic Review, 14(3), 693-709. https://doi.org/10.2307/2525981

Oberman, R., Dobbs, R., Budiman, A., Thompson, F., & Rosse, M. (2012). The archipelago economy: Unleashing Indonesia's Potential. Report. McKinsey Global Institute. https://www.mckinsey.com/featured-insights/asia-pacific/the-archipelago-economy#/

P.Todaro, M., & C.Smith, S. (2012). Economic Development. Boston: Pearson.

Papapetrou, E., & Tsalaporta, P. (2017). Inter-Industry Wage Differentials in Greece: Evidence from Quantile Regression Analysis. International Economic Journal, 31(1), 51-67. https://doi.org/10.1080/10168737.2016.1245351.

Parida, J. K. (2019). Rural-Urban Migration, Urbanization, and Wage Differentials in Urban India. In: Jayanthakumaran, K., et al. (eds) Internal Migration, Urbanization and Poverty in Asia: Dynamics and Interrelationships (pp. 189-218). Springer, Singapore. https://doi.org/10.1007/978-981-13-1537-4_8

Perez-Laborda, A., & Perez-Sebastian, F. (2020). Capital-Skill Complementarity and Biased Technical Change Across US Sectors. Journal of Macroeconomics, 66, 103255 https://doi.org/10.1016/j.jmacro.2020.103255.

Putri, A. S., Munir, A. N., & Abdullah, S. (2022). Analysis Of the Gender Wage Gap in Maluku Province Using Blinder-Oaxaca Decomposition. Jurnal Sosial Ekonomi Dan Humaniora, 8(4), 625–633. https://doi.org/10.29303/jseh.v8i4.148

Rahmi, F., Nasri, B., Delfia Tanjung, S., & Fajar Wisga, P. (2019). The Effect of Human Capital on Workers' Income in Western and Eastern Regions of Indonesia. The Journal of Social Sciences Research, 5(10), 1463-1479. https://ideas.repec.org/a/arp/tjssrr/2019p1463-1479.html.

Slichter, S. H. (1950). Notes on the Structure of Wages. The Review of Economics and Statistics, 32(1), 80-91. https://doi.org/10.2307/1928282

Wang, F., Milner, C., & Scheffel, J. (2018). Globalization and inter-industry wage differentials in China. Review of International Economics, 26(2), 404-437.https://doi.org/10.1111/roie.12337

Wang, R., & Ma, H. (2017). Regional Differences and Threshold Effects of Capital-Skill Complementarity in China. Emerging Markets Finance and Trade, 53, 1425 - 1441. https://doi.org/10.1080/1540496X.2016.1244511

Wicaksono, E., Amir, H. & Nugroho, A. (2017). The sources of income inequality in Indonesia: A regression-based decomposition. ADBI Working Paper 667. Tokyo: Asian Development Bank Institute. https://www.adb.org/sites/default/files/publication/229411/adbi-wp667.pdf

Willis, R. J. (1986). Chapter 10 Wage determinants: A survey and reinterpretation of human capital earnings functions. In Handbook of Labor Economics (pp. 525-602). Elsevier. https://doi.org/10.1016/S1573-4463(86)01013-1.

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Published

2023-02-28

How to Cite

Ibrahim, A., Bachtiar, N., & Primayesa, E. (2023). Who get paid higher? A study on wages decomposition between manufacturing and non-manufacturing workers in Indonesia. Jurnal Perspektif Pembiayaan Dan Pembangunan Daerah, 10(6), 425 - 438. https://doi.org/10.22437/ppd.v10i6.20744