IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v10y2022i12p317-d1000586.html
   My bibliography  Save this article

Informal and Formal Wage Differences Based on Cohorts in Indonesia

Author

Listed:
  • Rokhedi Priyo Santoso

    (Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
    Faculty of Business and Economics, Universitas Islam Indonesia, Yogyakarta 55283, Indonesia)

  • Gumilang Aryo Sahadewo

    (Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia)

  • Catur Sugiyanto

    (Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia)

  • Sekar Utami Setiastuti

    (Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia)

Abstract

Labor market dualism has caused a persistent wage gap between formal and informal workers in Indonesia. This study aimed to decompose the wage difference between formal and informal workers based on cohorts in Indonesia and further analyze the factors that influence this gap. This allowed us to identify the structure of the labor market and whether it tends to be segmented or competitive. By controlling the cohort, the estimation result was compatible with the human capital accumulation argument. The data sourced from the 2010 and 2019 National Labor Surveys comprised 581,312 and 503,313 workers, respectively. This study used the threefold Heckman selection-biased corrected Blinder–Oaxaca decomposition technique. The results showed that the wage gap between formal and informal workers is decreasing, especially among the younger cohort. Among this cohort, the labor market is still segmented, although the degree of segmentation is lower. In contrast, the older cohort labor market is more competitive but at a decreasing rate. A further decomposition showed that education has affected the wage gap between young and old cohorts. However, this effect is diminishing. In addition, differences in institutional labor market settings such as the wage system and occupational health and safety systems have increased the wage gap. The findings imply that equitable access to education for the younger cohort and the improvement of labor market institutions can reduce the gap between formal and informal wages.

Suggested Citation

  • Rokhedi Priyo Santoso & Gumilang Aryo Sahadewo & Catur Sugiyanto & Sekar Utami Setiastuti, 2022. "Informal and Formal Wage Differences Based on Cohorts in Indonesia," Economies, MDPI, vol. 10(12), pages 1-13, December.
  • Handle: RePEc:gam:jecomi:v:10:y:2022:i:12:p:317-:d:1000586
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/10/12/317/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/10/12/317/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christine ABLAZA & Mark WESTERN & Wojtek TOMASZEWSKI, 2021. "Good jobs and bad jobs for Indonesia's informal workers," International Labour Review, International Labour Organization, vol. 160(1), pages 143-168, March.
    2. Fields,Gary S., 2005. "A guide to multisector labor market models," Social Protection and Labor Policy and Technical Notes 32547, The World Bank.
    3. Naidoo,Darian & Packard,Truman G. & Auwalin,Ilmiawan, 2015. "Mobility, scarring and job quality in Indonesia?s labor market," Policy Research Working Paper Series 7484, The World Bank.
    4. Fields,Gary S., 2005. "A guide to multisector labor market models," Policy Research Working Paper Series 32547, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ana Maria Bonomi Barufi & Eduardo A. Haddad, Peter Nijkamp, 2016. "New evidence on the wage curve: non-linearities, urban size, and spatial scale in Brazil," Working Papers, Department of Economics 2016_39, University of São Paulo (FEA-USP).
    2. Jagannadha Pawan Tamvada, 2015. "The Spatial Distribution of Self-Employment in India: Evidence from Semiparametric Geoadditive Models," Regional Studies, Taylor & Francis Journals, vol. 49(2), pages 300-322, February.
    3. Bennett, John & Estrin, Saul, 2007. "Informality as a Stepping Stone: Entrepreneurial Entry in a Developing Economy," IZA Discussion Papers 2950, Institute of Labor Economics (IZA).
    4. Laure Pasquier-Doumer, 2013. "Intergenerational Transmission of Self-Employed Status in the Informal Sector: A Constrained Choice or Better Income Prospects? Evidence from Seven West African Countries," Journal of African Economies, Centre for the Study of African Economies, vol. 22(1), pages 73-111, January.
    5. M. Ali Khan, 2007. "The Harris-Todaro Hypothesis," PIDE-Working Papers 2007:16, Pakistan Institute of Development Economics.
    6. Karaivanov, Alexander & Yindok, Tenzin, 2022. "Involuntary entrepreneurship – Evidence from Thai urban data," World Development, Elsevier, vol. 149(C).
    7. Michiel Gerritse & Ana Isabel Moreno-Monroy, 2012. "Informal Sector and Manufacturing Location: In Search of the Missing Links," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(2), pages 179-201, June.
    8. Bargain, Olivier & Etienne, Audrey & Melly, Blaise, 2021. "Informal pay gaps in good and bad times: Evidence from Russia," Journal of Comparative Economics, Elsevier, vol. 49(3), pages 693-714.
    9. David Cook & Hiromi Nosaka, 2006. "Dual labor markets and business cycles," Proceedings, Federal Reserve Bank of San Francisco, issue Jun.
    10. Falco, Paolo & Maloney, William F. & Rijkers, Bob & Sarrias, Mauricio, 2015. "Heterogeneity in subjective wellbeing: An application to occupational allocation in Africa," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 137-153.
    11. Carlos Salas-Páez & Luis Quintana-Romero & Miguel A. Mendoza-González & José Álvarez-García, 2022. "Analysis of Job Transitions in Mexico with Markov Chains in Discrete Time," Mathematics, MDPI, vol. 10(10), pages 1-13, May.
    12. Jean-Philippe Berrou & François Combarnous & Thomas Eekhout, 2017. "Les TIC : une réponse au défi du développement des micro et petites entreprises informelles en Afrique sub-saharienne ?," Working Papers hal-02148324, HAL.
    13. repec:dau:papers:123456789/7080 is not listed on IDEAS
    14. Günther, Isabel & Launov, Andrey, 2006. "Competitive and Segmented Informal Labor Markets," IZA Discussion Papers 2349, Institute of Labor Economics (IZA).
    15. María Eugenia Castelao Caruana, 2016. "La formalización de los trabajadores por cuenta propia en Argentina: análisis del programa Monotributo Social y de los factores que condicionan su alcance," Revista Equidad y Desarrollo, Universidad de la Salle, issue 26, pages 13-38, July.
    16. Ana Moreno-Monroy, 2012. "Critical Commentary. Informality in Space: Understanding Agglomeration Economies during Economic Development," Urban Studies, Urban Studies Journal Limited, vol. 49(10), pages 2019-2030, August.
    17. Almeida, Rita & Carneiro, Pedro, 2008. "Mandated benefits, employment, and inequality in a dual economy," Social Protection Discussion Papers and Notes 45051, The World Bank.
    18. Mani, Subha & Mitra, Sophie & Sambamoorthi, Usha, 2018. "Dynamics in health and employment: Evidence from Indonesia," World Development, Elsevier, vol. 104(C), pages 297-309.
    19. Olivier Bargain & Sumon Kumar Bhaumik & Manisha Chakrabarty & Zhong Zhao, 2009. "Earnings Differences Between Chinese And Indian Wage Earners, 1987–2004," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(s1), pages 562-587, July.
    20. repec:lic:licosd:20608 is not listed on IDEAS
    21. Olivier Bargain & Prudence Kwenda, 2014. "The Informal Sector Wage Gap: New Evidence Using Quantile Estimations on Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 63(1), pages 117-153.
    22. Gustavo A. García, 2017. "Labor Informality: Choice or Sign of Segmentation? A Quantile Regression Approach at the Regional Level for Colombia," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 985-1017, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:10:y:2022:i:12:p:317-:d:1000586. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.