Abstract
Wage inequality is one of the most prominent topics of discussion across the world. The study is an attempt to estimate wage inequality in-between and within various skill-based occupational groups in India. For the purpose, Theil index, one of the most important measures in generalised entropy family, has been utilised on the unit-level data of Periodic Labour Force Survey, 2017–18 (PLFS) pertaining to 94,460 workers employed across skill-categorised broad occupational groups. Wage inequality has observed to be highest in occupational groups requiring highly skilled workers (skill level 4), and the same is witnessed lowest among workers in occupations requiring low level of skill (skill level 1). The study found occupational diversity, diverse nature of work assignment in accordance with cognitive ability of workers the main reasons behind increasing wage inequalities.
Similar content being viewed by others
References
Ahmad, M. 2001. Estimation of Distribution of Income among Various Occupation/Professions in Pakistan. Pakistan Economic and Social Review 39 (2): 119–134.
Ahuja, R. 2020. Sectoral Allocation of Foreign Capital Inflows and Skilled-Unskilled Wage Inequality in a Developing Economy: A Theoretical Model. The Manchester School 89 (1): 1–16.
Ballou, J.P., and B.A. Weisbrod. 2003. Managerial Rewards and the Behaviour of for-profit, Governmental and non-profit Organizations: Evidence from the hospital industry. Journal of Public Economics 87: 1895–1920.
Beblo, M., and T. Kanaus. 2001. Measuring Income Inequality in Euroland. Review of Income and Wealth 47 (3): 301–320.
Ben Ner, D., et al. 2011. A Sectoral Comparison of Wage Levels and Wage Inequality in Human Services Industries. Non-Profit and Voluntary Sector Quarterly 40 (4): 608–633.
Bertola, G., & Ichino, A. (1995). Wage Inequality and Unemployment: United States vs. Europe. (NBER Macroeconomics Annual. Cambridge, MA: The MIT Press).
Braun, D. 1988. Measurements of U.S. Income Inequality. The Review of Economics and Statistics 70 (3): 398–405.
Broecke, S. (2016). Do skills matter for wage inequality? (IZA World of Labou Article No. 232). https://doi.org/10.15185/izawol.232
Cain, J.S., R. Hasan, R. Magsombol, and A. Tandon. 2010. Accounting for Inequality in India: Evidences from Household Expenditures. World Development 38 (3): 282–297.
Chakraborty, I., and A. Chakraborty. 2010. Female Work Participation and Gender Differential in Earning in West Bengal India. Journal of Quantitative Economics 8 (2): 99–114.
Chamarbagwala, R. 2006. Economic Liberalization and Wage Inequality in India. World Development 34 (12): 1997–2015.
Chaudhari, S., et al. 2019. Gender-based wage inequality and economic liberalism in the presence of endogenous supply of female labour. Indian Economic Review 54: 239–260.
Chiswick, B.R. 1971. Earning Inequality and Economic Development. The Quarterly Journal of Economics 85 (1): 21–39.
Conceicao, P., and P. Ferreira (2000). The Young Person’s Guide to the Theil Index: Suggesting Intuitive Interpretations and Exploring Analytical Applications. (UTIP Working Paper, No. 14) https://doi.org/10.2139/ssrn.228703
Das, P. 2012. Wage Inequality in India- Decomposition by Sector, Gender and Activity Status. Economic Political Weekly 47 (50): 58–64.
Galbraith, J.K., and P. Conceicao. 2000. Constructing Long and Dense Time-Series of Inequality Using the Theil Index. Eastern Economic Journal 26 (1): 61–74.
Goel, M. 2017. Inequality Between and Within Skill Groups: The Curious Case of India. World Development 93 (1): 153–176.
Hanushek, E.A., et al. 2015. Returns to skill around the world: Evidence from PIAAC. European Economic Review 73: 103–130.
ILO (2011–12). Wage Policies for Decent Work and Inclusive Growth. India Wage Report https://www.ilo.org/publns
ILO (2012). International Standard Classification of Occupations. Vol. 1, Geneva.
Jaffee, D. 1989. Gender Inequality in Workplace Autonomy and Authority. Social Science Quarterly 70 (2): 375–390.
Kambourov, G., and L. Manovskii. 2009. Occupational Mobility and Wage Inequality. Review of Economic Studies 76 (2): 731–759.
Kannan, K. P. (2018). Wage Inequalities in India. (Working Paper Series No. 482). https://www.cds.edu
Khurana, S., and K. Mahajan. (2020). Evolution of wage inequality in India (1983–2017): The role of occupational task content. (WIDER Working Paper, No. 2020/167) https://doi.org/10.35188/UNU-WIDER/2020/924-2
Kijima, Y. 2006. Why Did Wage Inequality Increase? Evidence from Urban India 1983–99. Journal of Development Economics 81 (1): 97–117.
Killewald, X.Y.A., and C. Near. 2016. Between- and Within-Occupation Inequality: The Case of High-Status Professions. The ANNALS of the American Academy of Political and Social Science 663 (1): 53–79.
Kim, C., and A. Sakamoto. 2008. The Rise of Intra-Occupational Wage Inequality in the United States, 1983 to 2002. American Sociological Review 73: 129–157.
Madan, S. 2019. Wage Differentials Among Workers: An Empirical Analysis of the Manufacturing and Service Sectors. The Indian Journal of Labour Economics 62: 731–747. https://doi.org/10.1007/s41027-019-00195-4.
Madan, S., and R. Goyal. 2019. Outcomes of Labour Market for Informal Workers: An Analysis of Influential Factors in Haryana. Man and Development 41 (2): 51–70.
Madan, S., and S. Mor. 2020. Skill and Wage-earnings Potential: Evidence from Indian Labour Market. Statistika 100 (4): 392–407.
Mouw, T., and A.L. Kalleberg. 2010. Occupations and the Structure if Wage Inequality in the United States, 1980s to 2000s. American Sociological Review 75 (3): 402–431.
Mukherjee, D., and R. Majumder. 2011. Occupational Patterns, Wage Rates and Earning Disparities in India: A Decomposition Analysis. Indian Economic Review 46 (1): 131–152.
Sharma, S. 2016. Employment, Wages and Inequality in India: An Occupations and Tasks Based Approach. Indian Journal of Labour Economics 59 (4): 471–487.
Sil, A. & Dhillon, P., (2017). Occupational Segregation among Different Social and Demographic Groups in India. Available at SSRN 3493001.
Theil, H. 1967. Economics and Information Theory. Amsterdam: North Holland.
Funding
Not applicable.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declares no conflict of interest.
Ethics and Consent
Unit-level microdata have been obtained from the official website of the National Statistical Office (NSO), New Delhi, which is exempted from the individual consent of subjects.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Madan, S., Yadav, M. Decomposing Skill Based Wage Inequality in India: An Application of Theil Index. Ind. J. Labour Econ. 65, 967–979 (2022). https://doi.org/10.1007/s41027-022-00405-6
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41027-022-00405-6