IDEAS home Printed from https://ideas.repec.org/a/spr/ijlaec/v59y2016i4d10.1007_s41027-017-0078-z.html
   My bibliography  Save this article

Employment, Wages and Inequality in India: An Occupations and Tasks Based Approach

Author

Listed:
  • Shruti Sharma

    (Indian Institute of Management)

Abstract

This paper analyzes the employment and wage trends for Indian workers for the period 2005–2012 by computing the task-content of occupations (Autor et al. in Q J Econ 118(4):1279–1333, 2003a; Autor et al. in Rising Wage Inequality: The Role of Composition and Prices, National Bureau of Economic Research, Cambridge, MA, 2003b; Acemoglu and Autor in Skills, Tasks and Technologies: Implications for Employment and Earnings, 2011; Autor and Dorn 2013). Three main occupation categories are obtained- routine manual, routine cognitive and non-routine cognitive. The analyses reveal evidence of job polarization for India - middle skilled jobs that are most likely to be routine cognitive, have the lowest share in employment, whereas routine manual jobs have much higher shares in employment. Further, the share of non-routine cognitive jobs has been increasing over the period under consideration at the expense of routine manual jobs. While the share of routine cognitive jobs is low, it does not reflect a substantial decline over the period. Finally, while analyzing wage trends the author finds that the average wages of workers engaged in non-routine cognitive tasks is rising the fastest, followed by those engaged in routine cognitive tasks, while average wages of workers in routine-manual tasks have witnessed the lowest rate of growth.

Suggested Citation

  • Shruti Sharma, 2016. "Employment, Wages and Inequality in India: An Occupations and Tasks Based Approach," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 59(4), pages 471-487, December.
  • Handle: RePEc:spr:ijlaec:v:59:y:2016:i:4:d:10.1007_s41027-017-0078-z
    DOI: 10.1007/s41027-017-0078-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41027-017-0078-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41027-017-0078-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    2. 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.
    3. David H. Autor & Alan Manning & Christopher L. Smith, 2016. "The Contribution of the Minimum Wage to US Wage Inequality over Three Decades: A Reassessment," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 58-99, January.
    4. 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.
    5. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    2. Sonu Madan & Manisha Yadav, 2022. "Decomposing Skill Based Wage Inequality in India: An Application of Theil Index," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(4), pages 967-979, December.

    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. Downey, Mitch, 2021. "Partial automation and the technology-enabled deskilling of routine jobs," Labour Economics, Elsevier, vol. 69(C).
    2. 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.
    3. Vahagn Jerbashian, 2019. "Automation and Job Polarization: On the Decline of Middling Occupations in Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 1095-1116, October.
    4. 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.
    5. 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.
    6. 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.
    7. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
    8. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    9. van der Velde, Lucas, 2022. "Phasing out: Routine tasks and retirement," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 784-803.
    10. Gagliardi, Luisa, 2019. "The impact of foreign technological innovation on domestic employment via the industry mix," Research Policy, Elsevier, vol. 48(6), pages 1523-1533.
    11. Einiö, Elias, 2016. "The loss of production work: evidence from quasiexperimental identification of labour demand functions," LSE Research Online Documents on Economics 69019, London School of Economics and Political Science, LSE Library.
    12. Eleftheria KOLOKYTHA & Georgios KOLOKYTHAS & Fotini PERDIKI & Stavros VALSAMIDIS, 2018. "Labour Job Digitalization: Myths And Realities," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 17(2), pages 3-18.
    13. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    14. 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.
    15. 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.
    16. Harrigan, James & Reshef, Ariell & Toubal, Farid, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Research Policy, Elsevier, vol. 50(7).
    17. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    18. Eric D Gould, 2019. "Explaining the Unexplained: Residual Wage Inequality, Manufacturing Decline and Low-skilled Immigration," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1281-1326.
    19. Wan-Jung Cheng, 2017. "Explaining Job Polarization: The Role of Heterogeneity in Capital Intensity," IEAS Working Paper : academic research 17-A015, Institute of Economics, Academia Sinica, Taipei, Taiwan, revised Feb 2018.
    20. Naticchioni, Paolo & Ragusa, Giuseppe & Massari, Riccardo, 2014. "Unconditional and Conditional Wage Polarization in Europe," IZA Discussion Papers 8465, Institute of Labor Economics (IZA).

    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:spr:ijlaec:v:59:y:2016:i:4:d:10.1007_s41027-017-0078-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.