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Time Allocation between Paid and Unpaid Work among Men and Women: An Empirical Study of Indian Villages


  • A. Amarender Reddy

    (Indian Council of Agricultural Research-Central Research Institute for Dryland Agriculture, Hyderabad 500059, India)

  • Surabhi Mittal

    (Agricultural Economics Research Association (AERA), New Delhi 110012, India)

  • Namrata Singha Roy

    (Department of Economics, Christ University, Bengaluru 560029, India)

  • Sanghamitra Kanjilal-Bhaduri

    (Department of Economics, University of Algarve, 8005139 Faro, Portugal)


The paper examines the time allocation between paid work (wage earning or self-employed work generally termed as employment work) and unpaid (domestic chores/care work generally termed as non-employment work) along with wage rates, imputed earnings, and occupational structure among men and women and according to different social groups to establish the extent to which the rural labour market is discriminated by sex and social group. The major objective of the paper is to show the differential in wage income between men and women in farm and non-farm activities. The paper also shows the division of time between employment and non-employment activities by men and women. The paper uses high-frequency data and applies econometric techniques to know the factors behind time allocation among different activities across gender. The study finds that males spend more hours on employment work and work at a higher wage rate than females. As a result, a vast monetary income gap between men and women is observed, even though women worked more hours if employment and non-employment activities are jointly taken into consideration. Time spent on employment work and non-employment (mainly domestic chores) has been found to vary significantly due to social identity, household wealth, land, income, education, and skill. The segregation of labour market by sex was evident in this study, with men shifting to non-farm occupations with greater monetary returns and continued dependence on women’s farm activities. Enhancing the ownership of land and other assets, encouraging women’s participation particularly among minorities, and improving health are some of the policy recommendations directed from this study to enhance participation in employment work and shifting towards higher wage income employment.

Suggested Citation

  • A. Amarender Reddy & Surabhi Mittal & Namrata Singha Roy & Sanghamitra Kanjilal-Bhaduri, 2021. "Time Allocation between Paid and Unpaid Work among Men and Women: An Empirical Study of Indian Villages," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2671-:d:509074

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    References listed on IDEAS

    1. Stephan Klasen, 2019. "What Explains Uneven Female Labor Force Participation Levels and Trends in Developing Countries?," World Bank Research Observer, World Bank Group, vol. 34(2), pages 161-197.
    2. Imai, Katsushi S. & Gaiha, Raghav & Thapa, Ganesh, 2015. "Does non-farm sector employment reduce rural poverty and vulnerability? Evidence from Vietnam and India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 47-61.
    3. Namrata Singha Roy, 2020. "Wage Rate: Is this Return to Education or Return to Physical Capability? Evidence from Rural India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(1), pages 99-117, March.
    4. Farzana Afridi & Taryn Dinkelman & Kanika Mahajan, 2018. "Why are fewer married women joining the work force in rural India? A decomposition analysis over two decades," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 783-818, July.
    5. Prakash, Nishith, 2008. "Improving the Labor Market Outcomes of Minorities: The Role of Employment Quota," MPRA Paper 11010, University Library of Munich, Germany.
    6. Carta, Francesca & De Philippis, Marta, 2018. "You've come a long way, baby. Husbands' commuting time and family labour supply," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 25-37.
    7. A. Amarender Reddy, 2014. "Rural Labor Markets: insights from Indian villages," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 21(1), pages 107-136, June.
    8. Christopher Colclough & Geeta Kingdon & Harry Patrinos, 2010. "The Changing Pattern of Wage Returns to Education and its Implications," Development Policy Review, Overseas Development Institute, vol. 28(6), pages 733-747, November.
    9. Geeta Gandhi Kingdon & Jeemol Unni, 2001. "Education and Women's Labour Market Outcomes in India," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 173-195.
    10. Majumder, Rajarshi, 2011. "Female labour supply in india: proximate determinants," MPRA Paper 43250, University Library of Munich, Germany, revised Oct 2012.
    11. Chatterjee,Urmila & Murgai,Rinku & Rama,Martin G., 2015. "Job opportunities along the rural-urban gradation and female labor force participation in India," Policy Research Working Paper Series 7412, The World Bank.
    12. Sher Verick, 2014. "Female labor force participation in developing countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-87, September.
    13. Itishree Pattnaik & Kuntala Lahiri-Dutt & Stewart Lockie & Bill Pritchard, 2018. "The feminization of agriculture or the feminization of agrarian distress? Tracking the trajectory of women in agriculture in India," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 23(1), pages 138-155, January.
    14. Avinash Kumar & Nazia Iqbal Hashmi, 2020. "Labour Market Discrimination in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(1), pages 177-188, March.
    15. repec:iza:izawol:journl:y:2014:p:87 is not listed on IDEAS
    16. Rania Antonopoulos, 2008. "The Unpaid Care Work–Paid Work Connection," Economics Working Paper Archive wp_541, Levy Economics Institute.
    17. Harris, John R & Todaro, Michael P, 1970. "Migration, Unemployment & Development: A Two-Sector Analysis," American Economic Review, American Economic Association, vol. 60(1), pages 126-142, March.
    18. Almudena Sevilla-Sanz & Jose Ignacio Gimenez-Nadal & Cristina Fernandez, 2010. "Gender Roles and the Division of Unpaid Work in Spanish Households," Feminist Economics, Taylor & Francis Journals, vol. 16(4), pages 137-184.
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