IDEAS home Printed from https://ideas.repec.org/a/bla/asiaec/v38y2024i2p232-255.html
   My bibliography  Save this article

Examining the drivers of changes in mean earnings and earnings inequality in Indonesia

Author

Listed:
  • Maria Monica Wihardja
  • Abror Tegar Pradana

Abstract

This article examines the main drivers behind changes in mean earnings and earnings inequality in Indonesia between 2001/2002 (data for 2001 and 2002 are combined) and 2018. During this period, there was an increase in workers' education level, average age, job quality and mean earnings. More women participated in the labor market, but women earn lower wages than men, therefore mean earnings fell. For the overall period, a decline in educational returns at all levels of education contributed negatively to earnings. Narrowing wage premia across provinces contributed to the increase in mean earnings. Indonesia's Gini index rose during this period, driven by the education distribution effect and the spatial location (place of residence) premium effect. Although improvement in education levels increased mean earnings, this was inequality‐increasing due to the “paradox of progress” (exponential wage returns to education). There is a need for complementary policies to attenuate the inequality‐increasing education and spatial location effects as well as gender wage gap.

Suggested Citation

  • Maria Monica Wihardja & Abror Tegar Pradana, 2024. "Examining the drivers of changes in mean earnings and earnings inequality in Indonesia," Asian Economic Journal, East Asian Economic Association, vol. 38(2), pages 232-255, June.
  • Handle: RePEc:bla:asiaec:v:38:y:2024:i:2:p:232-255
    DOI: 10.1111/asej.12332
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/asej.12332
    Download Restriction: no

    File URL: https://libkey.io/10.1111/asej.12332?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Maria Monica Wihardja & Wendy Cunningham, 2021. "Pathways to Middle-Class Jobs in Indonesia," World Bank Publications - Reports 35848, The World Bank Group.
    2. Martin Biewen & Matthias Seckler, 2019. "Unions, Internationalization, Tasks, Firms, and Worker Characteristics: A Detailed Decomposition Analysis of Rising Wage Inequality in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 461-498, December.
    3. World Bank, 2019. "Aspiring Indonesia—Expanding the Middle Class," World Bank Publications - Reports 33237, The World Bank Group.
    4. Chunbing Xing, 2021. "The changing nature of work and earnings inequality in China," WIDER Working Paper Series wp-2021-105, World Institute for Development Economic Research (UNU-WIDER).
    5. Arief Anshory Yusuf & Putri Riswani Halim, 2021. "Inequality and structural transformation in the changing nature of work: The case of Indonesia," WIDER Working Paper Series wp-2021-81, World Institute for Development Economic Research (UNU-WIDER).
    6. Shantanu Khanna & Deepti Goel & René Morissette, 2016. "Decomposition analysis of earnings inequality in rural India: 2004–2012," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-26, December.
    7. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    8. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    9. Francois Bourguignon & Francisco H.G. Ferreira & Nora Lustig, 2005. "The Microeconomics of Income Distribution Dynamics in East Asia and Latin America," World Bank Publications - Books, The World Bank Group, number 14844.
    10. Khanna, Shantanu & Goel, Deepti & Morissette, René, 2016. "Decomposition Analysis of Earnings Inequality in Rural India: 2004-2012," IZA Discussion Papers 9974, Institute of Labor Economics (IZA).
    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. Aswini Kumar Mishra & Vedant Bhardwaj, 2021. "Wealth distribution and accounting for changes in wealth inequality: empirical evidence from India, 1991–2012," Economic Change and Restructuring, Springer, vol. 54(2), pages 585-620, May.
    2. Landmesser Joanna Małgorzata, 2018. "The Use of Hazard Models for the Analysis of Income Inequalities in Poland," Folia Oeconomica Stetinensia, Sciendo, vol. 18(1), pages 144-156, June.
    3. John Ariza & Gabriel Montes-Rojas, 2019. "Decomposition methods for analyzing inequality changes in Latin America 2002–2014," Empirical Economics, Springer, vol. 57(6), pages 2043-2078, December.
    4. Luis Ayala & Javier Mart n-Rom n & Juan Vicente, 2023. "What Contributes to Rising Inequality in Large Cities?," LIS Working papers 850, LIS Cross-National Data Center in Luxembourg.
    5. Ferreira, Francisco H. G. & Firpo, Sergio & Messina, Julián, 2017. "Ageing Poorly? Accounting for the Decline in Earnings Inequality in Brazil, 1995-2012," IZA Discussion Papers 10656, Institute for the Study of Labor (IZA).
    6. Daniel Baumgarten & Gabriel Felbermayr & Sybille Lehwald, 2020. "Dissecting Between‐Plant and Within‐Plant Wage Dispersion: Evidence from Germany," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 59(1), pages 85-122, January.
    7. Francisco H. G. Ferreira & Sergio P. Firpo & Julian Messina, 2014. "A more level playing field? Explaining the decline in earnings inequality in Brazil, 1995-2012," Global Development Institute Working Paper Series iriba_wp12, GDI, The University of Manchester.
    8. Prathi Seneviratne, 2017. "Explaining Changes in Sri Lanka’s Wage Distribution, 1992-2014: A Quantile Regression Analysis," Working Papers 2017-01, Carleton College, Department of Economics.
    9. Ramona Schmid, 2023. "Migration and wage inequality: a detailed analysis for German metropolitan and non-metropolitan regions [Migration und Lohnungleichheit: Eine detaillierte Analyse für Deutsche Metropol- und Nicht-M," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 43(1), pages 147-201, April.
    10. Brall, Franziska & Schmid, Ramona, 2020. "Automation, robots and wage inequality in Germany: A decomposition analysis," Hohenheim Discussion Papers in Business, Economics and Social Sciences 14-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    11. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    12. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    13. Sieds, 2017. "Complete Volume LXXI n. 3 2017," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(3), pages 1-150, July-Sept.
    14. Katie Meara & Francesco Pastore & Allan Webster, 2020. "The gender pay gap in the USA: a matching study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 271-305, January.
    15. Sergio Longobardi & Margherita Maria Pagliuca & Andrea Regoli, 2018. "Can problem-solving attitudes explain the gender gap in financial literacy? Evidence from Italian students’ data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1677-1705, July.
    16. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    17. Kilic, Talip & Palacios-López, Amparo & Goldstein, Markus, 2015. "Caught in a Productivity Trap: A Distributional Perspective on Gender Differences in Malawian Agriculture," World Development, Elsevier, vol. 70(C), pages 416-463.
    18. Brahim Boudarbat & Marie Connolly, 2013. "The gender wage gap among recent post‐secondary graduates in Canada: a distributional approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(3), pages 1037-1065, August.
    19. Michel Lubrano & Abdoul Aziz Junior Ndoye, 2014. "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992–2009," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 129-153, May.
    20. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.

    More about this item

    Statistics

    Access and download statistics

    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:bla:asiaec:v:38:y:2024:i:2:p:232-255. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/eaeaaea.html .

    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.