IDEAS home Printed from https://ideas.repec.org/a/spr/ijlaec/v66y2023i1d10.1007_s41027-023-00427-8.html
   My bibliography  Save this article

Labour Incomes in India: A Comparison of Two National Household Surveys

Author

Listed:
  • Mrinalini Jha

    (O.P. Jindal Global University)

  • Amit Basole

    (Azim Premji University)

Abstract

The COVID-19 pandemic created a need for high-frequency employment and income data. Policy-makers and researchers of developing countries typically have not had access to such data. In India, a new private high-frequency panel dataset has recently emerged as the dataset of choice for analysis of the economic impact of COVID-19. This is the Consumer Pyramids Household Survey (CPHS) conducted by the Centre for Monitoring the Indian Economy (CMIE). But the CPHS has also been criticised for being inadequately representative nationally by missing poor and vulnerable households in its sample. We examine the comparability of monthly labour income estimates for the pre-pandemic year (2018–19) for CPHS and the official Periodic Labour Force Survey (PLFS). Across different methods and assumptions, as well as rural/urban locations, CPHS mean monthly labour earnings are anywhere between 5 percent and 50 percent higher than corresponding PLFS estimates. In addition to the sampling concerns raised in the literature, we point to differences in the way employment and income are captured in the two surveys as possible causes of these differences. While CPHS estimates are always higher, it should also be emphasised that the two surveys agree on some stylised facts regarding the Indian workforce. An individual earning ₹50,000 per month lies in the top 5 percent of the income distribution in India as per both surveys. Second, both PLFS and CPHS show that half the Indian workforce earns below the recommended National Minimum Wage.

Suggested Citation

  • Mrinalini Jha & Amit Basole, 2023. "Labour Incomes in India: A Comparison of Two National Household Surveys," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(1), pages 181-201, March.
  • Handle: RePEc:spr:ijlaec:v:66:y:2023:i:1:d:10.1007_s41027-023-00427-8
    DOI: 10.1007/s41027-023-00427-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41027-023-00427-8
    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/s41027-023-00427-8?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. Ashwini Deshpande, 2020. "Early Effects of Lockdown in India: Gender Gaps in Job Losses and Domestic Work," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(1), pages 87-90, October.
    2. Sanjoy Chakravorty & S. Chandrasekhar & Karthikeya Naraparaju, 2019. "Land Distribution, Income Generation and Inequality in India's Agricultural Sector," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 182-203, November.
    3. Mahesh Vyas, 2020. "Impact of Lockdown on Labour in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(1), pages 73-77, October.
    4. Bussolo,Maurizio & Kotia,Ananya & Sharma,Siddharth, 2021. "Workers at Risk : Panel Data Evidence on the COVID-19 Labor Market Crisis in India," Policy Research Working Paper Series 9584, The World Bank.
    5. Arpit Gupta & Anup Malani & Bartosz Woda, 2021. "Inequality in India Declined During COVID," NBER Working Papers 29597, National Bureau of Economic Research, Inc.
    6. Bhattacharya,Shrayana & Sinha Roy,Sutirtha, 2021. "Intent to Implementation : Tracking India’s Social Protection Response to COVID-19," Social Protection Discussion Papers and Notes 160059, The World Bank.
    7. Somanchi, Anmol, 2021. "Missing the Poor, Big Time: A Critical Assessment of the Consumer Pyramids Household Survey," SocArXiv qmce9, Center for Open Science.
    8. Rosa Abraham, 2019. "Informal Employment and the Structure of Wages in India: A Review of Trends," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 102-122, November.
    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. Bino Paul & Krishna Muniyoor, 2024. "What Determines the Dichotomy between Formal and Informal Employment: Evidence from Maharashtra, India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 67(2), pages 483-499, June.

    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. Chanda, Areendam & Cook, C. Justin, 2022. "Was India’s demonetization redistributive? Insights from satellites and surveys," Journal of Macroeconomics, Elsevier, vol. 73(C).
    2. Archana Dang & Mausumi Das & Indrani Gupta, 2023. "COVID-19 And The Unequal Distribution Of Poverty Risks: Evidence From Urban India," IEG Working Papers 458, Institute of Economic Growth.
    3. Khyati Kathuria & Nand Kumar, 2022. "Pandemic‐induced fear and government policy response as a measure of uncertainty in the foreign exchange market: Evidence from (a)symmetric wild bootstrap likelihood ratio test," Pacific Economic Review, Wiley Blackwell, vol. 27(4), pages 361-379, October.
    4. Sinha Roy,Sutirtha & Van Der Weide,Roy, 2022. "Poverty in India Has Declined over the Last Decade But Not As Much As Previously Thought," Policy Research Working Paper Series 9994, The World Bank.
    5. Soumya Gupta & Payal Seth & Mathew Abraham & Prabhu Pingali, 2022. "COVID-19 and women's nutrition security: panel data evidence from rural India," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(1), pages 157-184, April.
    6. 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.
    7. Partha Chatterjee & Aakash Dev, 2023. "Labour Market Dynamics and Worker Flows in India: Impact of Covid-19," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(1), pages 299-327, March.
    8. Nawazuddin Ahmed & Dinesh K. Nauriyal, 2023. "Occupational and Educational Mobility Among Indian Muslims: Primary Survey-Based Evidence," Millennial Asia, , vol. 14(2), pages 228-259, June.
    9. Brunckhorst, Ben & Cojocaru, Alexandru & Kim, Yeon Soo & Kugler, Maurice, 2024. "Long COVID: The evolution of household welfare in developing countries during the pandemic," World Development, Elsevier, vol. 175(C).
    10. Daranrat Jaitiang & Wen-Chi Huang & Shang-Ho Yang, 2021. "Does Income Inequality Exist among Urban Farmers? A Demonstration of Lorenz Curves from Northern Thailand," Sustainability, MDPI, vol. 13(9), pages 1-16, May.
    11. Facundo Quiroga‐Martínez & Esteban Fernández‐Vázquez, 2021. "Education as a key to reduce spatial inequalities and informality in Argentinean regional labour markets," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 177-189, February.
    12. Beyer, Robert C.M. & Jain, Tarun & Sinha, Sonalika, 2023. "Lights out? COVID-19 containment policies and economic activity," Journal of Asian Economics, Elsevier, vol. 85(C).
    13. Tushar Agrawal & Ankush Agrawal, 2023. "Beyond Consumption Expenditure: Income Inequality and Its Sources in India," Progress in Development Studies, , vol. 23(1), pages 7-27, January.
    14. Sam Jones & Ivan Manhique, 2022. "Digital labour platforms as shock absorbers: Evidence from COVID-19," WIDER Working Paper Series wp-2022-108, World Institute for Development Economic Research (UNU-WIDER).
    15. Rajesh Kalli & Pradyot Ranjan Jena & Shunsuke Managi, 2022. "Subsidized LPG Scheme and the Shift to Cleaner Household Energy Use: Evidence from a Tribal Community of Eastern India," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    16. Hevia, Constantino & Macera, Manuel & Neumeyer, Pablo Andrés, 2022. "Covid-19 in unequal societies," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    17. Abubakar, Ismaila Rimi, 2021. "Predictors of inequalities in land ownership among Nigerian households: Implications for sustainable development," Land Use Policy, Elsevier, vol. 101(C).
    18. Kunal Dasgupta & Srinivasan Murali, 2024. "Pandemic containment and inequality in a developing economy," Economic Inquiry, Western Economic Association International, vol. 62(2), pages 837-864, April.
    19. Jean Drèze & Anmol Somanchi, 2024. "Weighty Evidence? Poverty Estimation with Missing Data," Studies in Microeconomics, , vol. 12(1), pages 93-106, April.
    20. Sam Jones & Ivan Manhique, 2021. "Informal freelancers in the time of COVID-19: Insights from a digital matching platform in Mozambique," WIDER Working Paper Series wp-2021-95, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    Income data; Labour income; Income distribution; Household survey data; India;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:spr:ijlaec:v:66:y:2023:i:1:d:10.1007_s41027-023-00427-8. 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.