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How Comparable are India’s Labour Market Surveys?

Author

Listed:
  • Rosa Abraham

    (Azim Premji University)

  • Anand Shrivastava

    (Azim Premji University)

Abstract

The Centre for Monitoring Indian Economy’s (CMIE) Consumer Pyramid Household surveys have emerged as an important source of regular labour market data for India. Given the differences in methods in data collection between the CMIE and official employment sources, it becomes exceedingly important to establish some comparability between the government and the CMIE datasets. With the release of the official Periodic Labour Force Surveys for 2017–18, we now have an overlap between the official datasets and CMIE datasets. In this paper, we examine the extent of comparability of labour force estimates from these two datasets. We find that employment estimates for men are broadly comparable. However, for women, there is a consistent divergence, with CMIE estimates of women’s workforce participation lower than that of NSS-PLFS. We find that irrespective of the reference period used in the PLFS estimation of employment statuses, there is no convergence with the CMIE employment estimate for women’s employment. Moreover, the mismatch in CMIE-PLFS estimates occurs across all types of women’s employment and irrespective of what reference period of employment (in official data) is used.

Suggested Citation

  • Rosa Abraham & Anand Shrivastava, 2022. "How Comparable are India’s Labour Market Surveys?," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(2), pages 321-346, June.
  • Handle: RePEc:spr:ijlaec:v:65:y:2022:i:2:d:10.1007_s41027-022-00381-x
    DOI: 10.1007/s41027-022-00381-x
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    References listed on IDEAS

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    1. Fletcher, Erin K. & Pande, Rohini & Moore, Charity Troyer, 2019. "Women and Work in India: Descriptive Evidence and a Review of Potential Policies," India Policy Forum, National Council of Applied Economic Research, vol. 15(1), pages 149-216.
    2. Klasen, Stephan & Pieters, Janneke, 2012. "Push or Pull? Drivers of Female Labor Force Participation during India's Economic Boom," IZA Discussion Papers 6395, Institute of Labor Economics (IZA).
    3. Somanchi, Anmol, 2021. "Missing the Poor, Big Time: A Critical Assessment of the Consumer Pyramids Household Survey," SocArXiv qmce9, Center for Open Science.
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    Cited by:

    1. Arpit Gupta & Anup Malani & Bartosz Woda, 2021. "Inequality in India Declined During COVID," NBER Working Papers 29597, National Bureau of Economic Research, Inc.
    2. Deshpande, Ashwini & Singh, Jitendra, 2021. "Dropping Out, Being Pushed Out or Can’t Get in? Decoding Declining Labour Force Participation of Indian Women," IZA Discussion Papers 14639, Institute of Labor Economics (IZA).
    3. Mattos, Fernanda Bárcia de & Dasgupta, Sukti & Esquivel, Valeria & Ghani, Sajid, 2022. "Push and Pull Factors and Women's Rural Employment in India since Covid-19," Review of Agrarian Studies, Foundation for Agrarian Studies, vol. 12(2), December.
    4. Arpit Gupta & Anup Malani & Bartek Woda, 2021. "Explaining the Income and Consumption Effects of COVID in India," NBER Working Papers 28935, National Bureau of Economic Research, Inc.
    5. Ashwini Deshpande & Jitendra Singh, 2021. "Dropping Out, Being Pushed out or Can't Get In? Decoding Declining Labour Force Participation of Indian Women," Working Papers 65, Ashoka University, Department of Economics.

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    More about this item

    Keywords

    Labour statistics; Women’s employment; Measurement of work; PLFS; CMIE;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J00 - Labor and Demographic Economics - - General - - - General

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