IDEAS home Printed from https://ideas.repec.org/a/ris/badest/0565.html
   My bibliography  Save this article

Measuring Sample Selection Corrected Gender Wage Gaps in India: 1993-94 to 2009-10

Author

Listed:
  • PANCHANAN DAS

    (Associate Professor of Economics, University of Calcutta, India.)

Abstract

This paper examines gender discrimination in wages in India using the observed effect of productivity differences between women and men as viewed within the human capital theory. For the purpose, the study utilises micro-level information from the 50th and 66th rounds of the National Sample Survey (NSS). The data show that women participation rate in the job market is lower than that for men. As labour market participation is not likely to be random, wage equations have been estimated by applying Heckman’s selection model with two-step estimation techniques using pooled data of two independent samples taken from the two rounds. A substantial wage differential between men and women exists in the Indian labour market, both in rural and urban areas; but the difference has been declining during the post-reform period. The study observes substantial lower wage for women than for men at every educational standard and the wage gap increased significantly among women workers with higher level of education both in rural and urban areas during the period 1993-2010.

Suggested Citation

  • Panchanan Das, 2013. "Measuring Sample Selection Corrected Gender Wage Gaps in India: 1993-94 to 2009-10," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 36(4), pages 81-97.
  • Handle: RePEc:ris:badest:0565
    as

    Download full text from publisher

    File URL: http://bids.org.bd/uploads/publication/BDS/36/36-4/3_Das.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. repec:bla:revinw:v:25:y:1979:i:3:p:327-41 is not listed on IDEAS
    3. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    4. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    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. Jesus Crespo Cuaresma & Anna Raggl, 2016. "The dynamics of returns to education in Uganda: National and subnational trends," Development Policy Review, Overseas Development Institute, vol. 34(3), pages 385-422, May.
    2. Pedro Jesús Hernandez Martinez, 1995. "Análisis empírico de la discriminación salarial de la mujer en España," Investigaciones Economicas, Fundación SEPI, vol. 19(2), pages 195-215, May.
    3. Xavier Ramos Morilla & Josep Lluís Raymond Bara & Josep Oliver Alonso, 1999. "Not All University Degrees Yield the Same Return: Private and Social Returns to Higher Education for Males in Spain," Working Papers wpdea9904, Department of Applied Economics at Universitat Autonoma of Barcelona.
    4. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    5. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.
    6. Choi, Jaedo & Moon, Hyungsik Roger & Cho, Jin Seo, 2024. "Sequentially Estimating The Structural Equation By Power Transformation," Econometric Theory, Cambridge University Press, vol. 40(1), pages 98-161, February.
    7. Bhuller, Manudeep & Mogstad, Magne & Salvanes, Kjell G., 2011. "Life-Cycle Bias and the Returns to Schooling in Current and Lifetime Earnings," IZA Discussion Papers 5788, Institute of Labor Economics (IZA).
    8. Rahman, Mustafizur & Al-Hasan, Md., 2018. "Male-Female wage gap and informal employment in Bangladesh: A quantile regression approach," MPRA Paper 90131, University Library of Munich, Germany.
    9. Jennifer Castle & David Hendry, 2010. "Automatic Selection for Non-linear Models," Economics Series Working Papers 473, University of Oxford, Department of Economics.
    10. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    11. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    12. Kazamaki Ottersten, Eugenia & Mellander, Erik & Meyerson, Eva M. & Nilson, Jörgen, 1994. "Pitfalls in the Measurement of the Return to Education: An Assessment Using Swedish Data," Working Paper Series 414, Research Institute of Industrial Economics.
    13. Dan A. Black & Lars Skipper & Jeffrey A. Smith & Jeffrey Andrew Smith, 2023. "Firm Training," CESifo Working Paper Series 10268, CESifo.
    14. Imed Limam & Abdelwahab Ben Hafaiedh, 2017. "Education, Earnings and Returns to Schooling in Tunisia," Working Papers 1162, Economic Research Forum, revised 12 Jun 2017.
    15. Behr Andreas, 2006. "Comparing Estimation Strategies for Income Equations in the Presence of Panel Attrition: Empirical Results Based on the ECHP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(4), pages 361-384, August.
    16. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 1, pages 1-87, Elsevier.
    17. Sofia Cheidvasser, 2000. "The Educated Russian's Curse: Returns to Education in the Russian Federation," Econometric Society World Congress 2000 Contributed Papers 0246, Econometric Society.
    18. Cinthya G. Caamal Olvera, 2017. "Decreasing returns to schooling in Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 32(1), pages 27-63.
    19. Sajjad Haider Bhatti & Muhammad Aslam & Jean Bourdon, 2018. "Market Returns to Education in Pakistan, Corrected for Endogeneity Bias," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 79-96, Jan-June.
    20. Upalat Korwatanasakul, 2019. "Revisiting the returns to education during rapid structural and rural transformation in Thailand: A regression discontinuity approach," WIDER Working Paper Series wp-2019-105, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    Gender Wage Inequality; Labour Market; India;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:ris:badest:0565. 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: Meftaur Rahman, Cheif Publication Officer, BIDS (email available below). General contact details of provider: https://edirc.repec.org/data/bidssbd.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.