IDEAS home Printed from https://ideas.repec.org/p/unu/wpaper/wp-2021-7.html
   My bibliography  Save this paper

Earnings inequality and the changing nature of work: Evidence from Labour Force Survey data of Bangladesh

Author

Listed:
  • Sayema Haque Bidisha
  • Tanveer Mahmood
  • Mahir A. Rahman

Abstract

With structural changes in production coupled with technological progress, there have been shifts in modes of production and patterns of employment, with important consequences on task composition of occupations. This paper has utilized different rounds of Labour Force Survey data of Bangladesh and combined it with occupation network data of the United States along with its country-specific database and analysed the role of such factors on labour market outcomes. Our analysis shows a fall in the average routine intensity of tasks with no evidence of job polarization.

Suggested Citation

  • Sayema Haque Bidisha & Tanveer Mahmood & Mahir A. Rahman, 2021. "Earnings inequality and the changing nature of work: Evidence from Labour Force Survey data of Bangladesh," WIDER Working Paper Series wp-2021-7, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp-2021-7
    as

    Download full text from publisher

    File URL: https://www.wider.unu.edu/sites/default/files/Publications/Working-paper/PDF/wp2021-7-earnings-inequality-changing-nature-work.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. George Psacharopoulos, 1985. "Returns to Education: A Further International Update and Implications," Journal of Human Resources, University of Wisconsin Press, vol. 20(4), pages 583-604.
    2. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    3. Francis Kuriakose & Deepa Kylasam Iyer, 2020. "Job Polarisation in India: Structural Causes and Policy Implications," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(2), pages 247-266, June.
    4. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    5. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    6. Chang-Tai Hsieh & Peter J. Klenow, 2010. "Development Accounting," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 207-223, January.
    7. Psacharopoulos, George, 1994. "Returns to investment in education: A global update," World Development, Elsevier, vol. 22(9), pages 1325-1343, September.
    8. Maya Eden & Paul Gaggl, 2020. "Do Poor Countries Really Need More IT?," The World Bank Economic Review, World Bank, vol. 34(1), pages 48-62.
    9. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    10. Osmani, S R, 2015. "The Growth-Equity Nexus in Bangladesh: An Analysis of Recent Experience," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(2), pages 1-59, June.
    11. Autor, David & Dorn, David, 2009. "Inequality and Specialization: The Growth of Low-Skill Service Jobs in the United States," IZA Discussion Papers 4290, Institute of Labor Economics (IZA).
    12. Selim Raihan & Sunera Saba Khan, 2020. "Structural transformation, inequality dynamics, and inclusive growth in Bangladesh," WIDER Working Paper Series wp-2020-44, World Institute for Development Economic Research (UNU-WIDER).
    13. Raquel Sebastian, 2018. "Explaining job polarisation in Spain from a task perspective," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(2), pages 215-248, June.
    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. Dirk Antonczyk & Thomas DeLeire & Bernd Fitzenberger, 2018. "Polarization and Rising Wage Inequality: Comparing the U.S. and Germany," Econometrics, MDPI, vol. 6(2), pages 1-33, April.
    2. Maya Eden & Paul Gaggl, 2018. "On the Welfare Implications of Automation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 15-43, July.
    3. Blanchard, Emily & Willmann, Gerald, 2016. "Trade, education, and the shrinking middle class," Journal of International Economics, Elsevier, vol. 99(C), pages 263-278.
    4. Arief A. Yusuf & Reza Anglingkusumo & Andy Sumner & Putri R. Halim & Anggita C.M. Kusuma, 2020. "Routinization And The Changing Task Composition In The Labor Market: Evidence From Indonesia," Working Papers WP/06/2020, Bank Indonesia.
    5. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    6. Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022. "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 409-450, September.
    7. Georg Graetz & Guy Michaels, 2017. "Is Modern Technology Responsible for Jobless Recoveries?," American Economic Review, American Economic Association, vol. 107(5), pages 168-173, May.
    8. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    9. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
    10. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    11. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    12. van der Velde, Lucas, 2022. "Phasing out: Routine tasks and retirement," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 784-803.
    13. Michael J. Böhm, 2020. "The price of polarization: Estimating task prices under routine‐biased technical change," Quantitative Economics, Econometric Society, vol. 11(2), pages 761-799, May.
    14. Irene Brambilla, 2018. "Digital Technology Adoption and Jobs: A Model of Firm Heterogeneity," Department of Economics, Working Papers 117, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    15. Zsófia L. Bárány & Christian Siegel, 2018. "Job Polarization and Structural Change," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 57-89, January.
    16. Keller, Wolfgang & Utar, Hale, 2023. "International trade and job polarization: Evidence at the worker level," Journal of International Economics, Elsevier, vol. 145(C).
    17. Nikolaos Terzidis & Raquel Ortega‐Argilés, 2021. "Employment polarization in regional labor markets: Evidence from the Netherlands," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 971-1001, November.
    18. Christophe Muller & Christophe Nordman, 2004. "Which Human Capital Matters For Rich And Poor'S Wages: Evidence From Matched Worker-Firm Data From Tunisia," Working Papers. Serie AD 2004-28, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    19. Merja Kauhanen & Terhi Maczulskij, 2017. "Where do workers from declining routine jobs go and does migration matter?," Working Papers 314, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    20. Irene Brunetti & Valerio Intraligi & Andrea Ricci & Valeria Cirillo, 2020. "Low‐skill jobs and routine tasks specialization: New insights from Italian provinces," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1561-1581, December.

    More about this item

    Keywords

    Labour force survey; Inequality; Polarization; Education premium; Routine employment; Decomposition; Bangladesh; Education;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:unu:wpaper:wp-2021-7. 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: Siméon Rapin (email available below). General contact details of provider: https://edirc.repec.org/data/widerfi.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.