IDEAS home Printed from https://ideas.repec.org/a/spr/ijlaec/v61y2018i1d10.1007_s41027-018-0120-9.html
   My bibliography  Save this article

Estimating Labour Quality Index for India

Author

Listed:
  • Ravindra H. Dholakia

    (Indian Institute of Management Ahmedabad)

Abstract

Present paper provides a detailed critique of the traditional methodology of taking wage differential as equal to the differential of marginal productivity of labour and proposes to replace it by the differential of average productivity of labour types. The purpose in this paper is not to provide a concrete estimate of the labour quality index, but to discuss possibility of following an alternative method and expand the scope of measurement from the traditional age–sex–education classification to a wider range including some directly non-quantifiable labour qualities. The traditional method and the previous efforts made in India ignored classifications of workers based on the urban–rural residence, organized–unorganized sectors, public versus private sector employment, self-employed versus hired workers versus casual employees, and health and nutritional status. If all these qualitative aspects are properly considered, we can get a reasonably accurate marginal contribution of formal education, urbanization, privatization, self-employment and health and nutrition status of workers to the economic growth.

Suggested Citation

  • Ravindra H. Dholakia, 2018. "Estimating Labour Quality Index for India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(1), pages 67-85, March.
    • Handle: RePEc:spr:ijlaec:v:61:y:2018:i:1:d:10.1007_s41027-018-0120-9
    DOI: 10.1007/s41027-018-0120-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41027-018-0120-9
    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/s41027-018-0120-9?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. Mogens Fosgerau & Svend E. Hougaard Jensen & Anders Sørensen, 2002. "Measuring Educational Heterogeneity And Labor Quality: A Note," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(2), pages 261-269, June.
    2. Fosgerau, Mogens & Jensen, Svend E Hougaard & Sorensen, Anders, 2002. "Measuring Educational Heterogeneity and Labor Quality: A Note," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(2), pages 261-269, June.
    3. Dholakia Bakul H & Dholakia Archana R, 1975. "Empirical Test of the Marginal Productivity Theory of Wages: The Case of Indian Industries," IIMA Working Papers WP1975-09-01_00157, Indian Institute of Management Ahmedabad, Research and Publication Department.
    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. Guido Schwerdt & Jarkko Turunen, 2007. "Changes in Human Capital: Implications for Productivity Growth in the Euro Area," ifo Working Paper Series 53, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. K L Krishna & Suresh Chand Aggarwal & Bishwanath Goldar & Deb Kusum Das & Abdul A Erumban & Pilu Chandra Das, 2018. "Trends and Patterns in Labour Quality in India at Sectoral Level," Working papers 285, Centre for Development Economics, Delhi School of Economics.
    3. Guido Schwerdt & Jarkko Turunen, 2007. "Growth In Euro Area Labor Quality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(4), pages 716-734, December.
    4. Suresh Chand Aggarwal, 2007. "Labour Quality in Indian Manufacturing A State Level Analysis," Working Papers id:998, eSocialSciences.
    5. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2011. "The Importance Of Skill Measurement For Growth Accounting," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 293-305, June.
    6. Suresh Chand Aggarwal, 2004. "Labour quality in Indian manufacturing: A State level analysis," Indian Council for Research on International Economic Relations, New Delhi Working Papers 126, Indian Council for Research on International Economic Relations, New Delhi, India.
    7. Shandre M. Thangavelu & Yong Yik Wei, 2006. "Aging and economic growth : issues relevant to Singapore," Labor Economics Working Papers 21821, East Asian Bureau of Economic Research.
    8. Solarin, Sakiru Adebola, 2020. "The effects of shale oil production, capital and labour on economic growth in the United States: A maximum likelihood analysis of the resource curse hypothesis," Resources Policy, Elsevier, vol. 68(C).
    9. Maliranta, Mika, . "Micro Level Dynamics of Productivity Growth. An Empirical Analysis of the Great Leap in Finnish Manufacturing Productivity in 1975-2000," ETLA A, The Research Institute of the Finnish Economy, number 38.
    10. Shandre Thangavelu & Yong Aik Wei, 2006. "Aging and Economic Growth: Issues Relevant to Singapore," SCAPE Policy Research Working Paper Series 0613, National University of Singapore, Department of Economics, SCAPE.
    11. K L Krishna & Suresh Aggarwal & Abdul A Erumban & Deb Kusum Das, 2016. "Structural Changes in Employment in India, 1980-2011," Working papers 262, Centre for Development Economics, Delhi School of Economics.

    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:61:y:2018:i:1:d:10.1007_s41027-018-0120-9. 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.