IDEAS home Printed from https://ideas.repec.org/a/ana/journl/v4y2018i2p117-134.html
   My bibliography  Save this article

Wage Gap and Employment Status in Indian Labour Market - Quantile Based Counterfactual Analysis

Author

Listed:
  • Panchanan Das

    (Department of Economics, University of Calcutta)

Abstract

This study examines the extent of wage gap between workers in permanent and temporary jobs but in roughly similar occupation types by evaluating the impact of workers' characteristics and education. The differential effects of the covariates on wage gap at different locations of the wage distribution are estimated by applying quantile regression model. After estimating the differential effects the relevance of glass ceiling or sticky floor hypothesis has been tested with Indian data. The wage gap between temporary and permanent employment is decomposed into endowment effect based on the difference in labour market characteristics and coefficient effect based on the difference in returns for the same characteristics. The study observes that the wage gap between temporary and permanent workers is wider at the upper tail of the distribution not rejecting the glass ceiling hypothesis. The decomposition analysis suggests that the wage gap presents in the Indian labour market primarily because of discrimination measured by the coefficients effects.

Suggested Citation

  • Panchanan Das, 2018. "Wage Gap and Employment Status in Indian Labour Market - Quantile Based Counterfactual Analysis," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 4(2), pages 117-134, December.
    • Handle: RePEc:ana:journl:v:4:y:2018:i:2:p:117-134
    DOI: 10.22440/wjae.4.2.4
    as

    Download full text from publisher

    File URL: https://journal.econworld.org/index.php/econworld/article/view/101/31
    Download Restriction: no
    File URL: https://libkey.io/10.22440/wjae.4.2.4?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
    ---><---

    References listed on IDEAS

    as
    1. Matteo, PICCHIO, 2006. "Wage Differentials and Temporary Jobs in Italy," Discussion Papers (ECON - Département des Sciences Economiques) 2006033, Université catholique de Louvain, Département des Sciences Economiques.
    2. Michael Rosholm & Helena Skyt Nielsen, 2001. "The public-private sector wage gap in Zambia in the 1990s: A quantile regression approach," Empirical Economics, Springer, vol. 26(1), pages 169-182.
    3. Lucas Chancel & Thomas Piketty, 2019. "Indian Income Inequality, 1922‐2015: From British Raj to Billionaire Raj?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 33-62, November.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    5. James M. Poterba & Kim S. Rueben, 1994. "The Distribution of Public Sector Wage Premia: New Evidence Using Quantile Regression Methods," NBER Working Papers 4734, National Bureau of Economic Research, Inc.
    6. Chi, Wei & Li, Bo, 2014. "Trends in China’s gender employment and pay gap: Estimating gender pay gaps with employment selection," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 708-725.
    7. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    8. Magnani, Elisabetta & Zhu, Rong, 2012. "Gender wage differentials among rural–urban migrants in China," Regional Science and Urban Economics, Elsevier, vol. 42(5), pages 779-793.
    9. Piketty, Thomas & Chancel, Lucas, 2017. "Indian income inequality, 1922-2014: From British Raj to Billionaire Raj ?," CEPR Discussion Papers 12409, C.E.P.R. Discussion Papers.
    10. Abhijit Banerjee & Thomas Piketty, 2005. "Top Indian Incomes, 1922-2000," The World Bank Economic Review, World Bank, vol. 19(1), pages 1-20.
    11. Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-1381, September.
    12. Daniel Lechmann & Claus Schnabel, 2012. "Why is there a gender earnings gap in self-employment? A decomposition analysis with German data," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-25, December.
    13. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    14. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2008. "Wage Inequality, Employment Structure and Skill‐biased Change in Italy," LABOUR, CEIS, vol. 22(s1), pages 27-51, June.
    15. 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.
    16. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    17. Xulia GonzÂlez & Daniel Miles, 2001. "Wage inequality in a developing country: decrease in minimum wage or increase in education returns," Empirical Economics, Springer, vol. 26(1), pages 135-148.
    18. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    19. Ahmed, Salma & McGillivray, Mark, 2015. "Human Capital, Discrimination, and the Gender Wage Gap in Bangladesh," World Development, Elsevier, vol. 67(C), pages 506-524.
    20. 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.
    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. Hazarika, Bhabesh, 2017. "Decomposition of Gender Income Gap in Rural Informal Micro-enterprises: An Unconditional Quantile Approach in the Handloom Industry," Working Papers 17/216, National Institute of Public Finance and Policy.
    2. Azam, Mehtabul, 2012. "Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition," World Development, Elsevier, vol. 40(6), pages 1135-1150.
    3. José Mata & José A. F. Machado, 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.
    4. Zhu, Rong, 2016. "Wage differentials between urban residents and rural migrants in urban China during 2002–2007: A distributional analysis," China Economic Review, Elsevier, vol. 37(C), pages 2-14.
    5. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    6. Domenico Depalo & Raffaela Giordano & Evangelia Papapetrou, 2015. "Public–private wage differentials in euro-area countries: evidence from quantile decomposition analysis," Empirical Economics, Springer, vol. 49(3), pages 985-1015, November.
    7. Pallab Ghosh & Jae Lee, 2016. "Decomposition of Changes in Korean Wage Inequality, 1998–2007," Journal of Labor Research, Springer, vol. 37(1), pages 1-28, March.
    8. Mustafizur Rahman & Marzuka Md. Al-Hasan, 2019. "Women in Bangladesh Labour Market: Determinants of Participation, Gender Wage Gap and Returns to Schooling," CPD Working Paper 124, Centre for Policy Dialogue (CPD).
    9. Hung-Hao Chang, 2012. "Consumption inequality between farm and nonfarm households in Taiwan: a decomposition analysis of differences in distribution," Agricultural Economics, International Association of Agricultural Economists, vol. 43(5), pages 487-498, September.
    10. Nicodemo, Catia & Raya, Josep Maria, 2012. "Change in the distribution of house prices across Spanish cities," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 739-748.
    11. Sandeep Mohapatra & Bruno Wichmann & Philippe Marcoul, 2018. "Removing The “Veil Of Ignorance”: Nonlinearities In Education Effects On Gender Wage Inequalities," Contemporary Economic Policy, Western Economic Association International, vol. 36(4), pages 644-666, October.
    12. Bhabesh Hazarika, 2020. "Gender income gap in rural informal micro-enterprises: an unconditional quantile decomposition approach in the handloom industry," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 441-473, September.
    13. Martinez-Sanchis, Elena & Mora, Juan & Kandemir, Ilker, 2012. "Counterfactual distributions of wages via quantile regression with endogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3212-3229.
    14. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    15. Vladimir Gimpelson & Anna Lukiyanova & Anna Sharunina, 2015. "Estimating the Public-Private Wage Gap in Russia: What Does Quantile Regression Tell Us?," HSE Working papers WP BRP 104/EC/2015, National Research University Higher School of Economics.
    16. Mustafizur Rahman & Md. Al-Hasan, 2022. "The Reverse Gender Wage Gap in Bangladesh: Demystifying the Counterintuitive," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(4), pages 929-950, December.
    17. VAN KERM Philippe & YU Seunghee & CHOE Chung, 2014. "Wage differentials between native, immigrant and cross-border workers: Evidence and model comparisons," LISER Working Paper Series 2014-05, Luxembourg Institute of Socio-Economic Research (LISER).
    18. Pallab Kumar Ghosh & Jae Yoon Lee, 2016. "Decomposition of Changes in Korean Wage Inequality, 1998–2007," Journal of Labor Research, Springer, vol. 37(1), pages 1-28, March.
    19. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    20. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.

    More about this item

    Keywords

    Employment Structure; Quantile Regression; Earnings Inequality; India;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:ana:journl:v:4:y:2018:i:2:p:117-134. 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: Unal Tongur (email available below). General contact details of provider: https://edirc.repec.org/data/ewanatr.html .

    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.