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Re-examining Wage Disparities Across Segments of the Indian Labor Market

Author

Listed:
  • Nawazuddin Ahmed
  • D. K. Nauriyal

Abstract

This article examines income disparities by considering both employer and employee perspectives of informality to scrutinize labor market segmentation in India. Additionally, the research investigates the impacts of varying degrees of urbanization, migration patterns, and industrial structures on formal and informal employment in the labor force. Utilizing data from the National Sample Survey Employment and Unemployment Survey rounds, specifically the 2004–2005 (61st) and 2011–2012 (68th) rounds, along with the Periodic Labour Force Survey 2018–2019 round, quantile regression models and the Recentred Influence Function decomposition method were employed to analyze wage inequality. A selection-corrected wage equation and its estimate were also presented by applying Bourguignon, Fournier, and Gurgand’s model-based selection correction. The study’s findings indicate that by 2019, the labor market had divided into two groups: organized formal workers and others. Further, the study reports wage convergence at lower quantiles and a widening gap at higher quantiles between organized formal and unorganized informal workers. Organized formal workers witness rising earnings, indicating positive wage growth, yet their share in overall employment remains small, which is significant given low job creation and high educated unemployment. At higher wage quantiles, there is a premium for being an informal worker in the organized sector compared to the unorganized sector, indicating a queue for formal employment opportunities in the organized sector. Despite the service sector’s significant role in Indian growth, it lags in creating formal job opportunities, unlike the manufacturing and construction sectors, which emphasize their substantial contribution to formal job generation. This study underlines that categorizing a firm as merely organized or a worker as formally employed is insufficient. Upgrades in these classifications should be accompanied by premiums, with wages being a key consideration. JEL Classification J31, J42, J62, J71

Suggested Citation

  • Nawazuddin Ahmed & D. K. Nauriyal, 2025. "Re-examining Wage Disparities Across Segments of the Indian Labor Market," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 17(2), pages 244-264, May.
  • Handle: RePEc:sae:emeeco:v:17:y:2025:i:2:p:244-264
    DOI: 10.1177/09749101241300829
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    References listed on IDEAS

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    1. Funkhouser, Edward, 1996. "The urban informal sector in Central America: Household survey evidence," World Development, Elsevier, vol. 24(11), pages 1737-1751, November.
    2. Bhattacharya, Prabir C., 2011. "Informal sector, income inequality and economic development," Economic Modelling, Elsevier, vol. 28(3), pages 820-830, May.
    3. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    4. Nawazuddin Ahmed & D. K. Nauriyal, 2024. "The Impact of Parents’ Educational and Occupational Footprints on Children: Evidence From India," Journal of South Asian Development, , vol. 19(1), pages 7-43, April.
    5. Ravi S. Srivastava, 2016. "Myth and reality of labour flexibility in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 59(1), pages 1-38, March.
    6. Goel, Manisha, 2017. "Inequality Between and Within Skill Groups: The Curious Case of India," World Development, Elsevier, vol. 93(C), pages 153-176.
    7. Olivier Bargain & Prudence Kwenda, 2011. "Earnings Structures, Informal Employment, And Self‐Employment: New Evidence From Brazil, Mexico, And South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57, pages 100-122, May.
    8. Todaro, Michael P, 1969. "A Model for Labor Migration and Urban Unemployment in Less Developed Countries," American Economic Review, American Economic Association, vol. 59(1), pages 138-148, March.
    9. James Alm, 2019. "What Motivates Tax Compliance?," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 353-388, April.
    10. Golam Rabbani & Rajesh Raj S N, 2024. "Productivity and wage gaps between informal and formal firms in India: Trends and determinants," Journal of the International Council for Small Business, Taylor & Francis Journals, vol. 5(3), pages 282-303, July.
    11. José A. F. Machado & José Mata, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465, May.
    12. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    13. repec:spo:wpmain:info:hdl:2441/4ra95789n9nrr59b6lmini6tp is not listed on IDEAS
    14. David Card, 2009. "Immigration and Inequality," American Economic Review, American Economic Association, vol. 99(2), pages 1-21, May.
    15. Gabriel Ulyssea, 2018. "Firms, Informality, and Development: Theory and Evidence from Brazil," American Economic Review, American Economic Association, vol. 108(8), pages 2015-2047, August.
    16. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    17. Ravi Srivastava, 2019. "Emerging Dynamics of Labour Market Inequality in India: Migration, Informality, Segmentation and Social Discrimination," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(2), pages 147-171, June.
    18. Rayees Ahmad Sheikh & Sarthak Gaurav & Trupti Mishra, 2021. "Race among equals? An inquiry into the segmentation of Indian labor market," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2180-2206, November.
    19. Randall S. Brown & Marilyn Moon & Barbara S. Zoloth, 1980. "Incorporating Occupational Attainment in Studies of Male-Female Earnings Differentials," Journal of Human Resources, University of Wisconsin Press, vol. 15(1), pages 3-28.
    20. Manik Kumar & Sweety Pandey, 2021. "Wage Gap Between Formal and Informal Regular Workers in India: Evidence from the National Sample Survey," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 13(1), pages 104-121, January.
    21. Maloney, William F, 1999. "Does Informality Imply Segmentation in Urban Labor Markets? Evidence from Sectoral Transitions in Mexico," The World Bank Economic Review, World Bank, vol. 13(2), pages 275-302, May.
    22. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    23. Costas Meghir & Renata Narita & Jean-Marc Robin, 2015. "Wages and Informality in Developing Countries," American Economic Review, American Economic Association, vol. 105(4), pages 1509-1546, April.
    24. Roberto PIRES, 2008. "Promoting sustainable compliance: Styles of labour inspection and compliance outcomes in Brazil," International Labour Review, International Labour Organization, vol. 147(2-3), pages 199-229, June.
    25. Chris Robinson & Nigel Tomes, 1982. "Family Labour Supply and Fertility: A Two-Regime Model," Canadian Journal of Economics, Canadian Economics Association, vol. 15(4), pages 706-734, November.
    26. Surbhi Kesar & Snehashish Bhattacharya, 2020. "Dualism and Structural Transformation: The Informal Manufacturing Sector in India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(3), pages 560-586, July.
    27. Costas Meghir & Renata Narita & Jean-Marc Robin, 2015. "Wages and Informality in Developing Countries," SciencePo Working papers hal-03587627, HAL.
    28. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    29. Eckhard Siggel, 2010. "The Indian informal sector: The impact of globalization and reform," International Labour Review, International Labour Organization, vol. 149(1), pages 93-105, March.
    30. 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.
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    Keywords

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    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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