IDEAS home Printed from https://ideas.repec.org/p/dia/wpaper/dt202402.html
   My bibliography  Save this paper

Ten Years in Tamil Nadu: Exploring Labour, Migration and Debt from Longitudinal Household Surveys in South India

Author

Listed:
  • Mary Di Santolo

    (UMR LEDa, DIAL, PSL, Université Paris Dauphine, IRD)

  • Isabelle Guérin

    (IRD, CESSMA (Paris, France), IFP (Pondicherry, India))

  • Sébastien Michiels

    (IFP (Pondicherry, India))

  • Cécile Mouchel

    (CESSMA (IRD, INALCO, and Université Paris Cité), UMR LEDa, DIAL, PSL, Université Paris Dauphine, IRD)

  • Arnaud Natal

    (BSE (University of Bordeaux, CNRS, and INRAE), French Institute of Pondicherry (IFP))

  • Christophe Jalil Nordman

    (IRD, UMR LEDa, DIAL, PSL, Université Paris Dauphine, IFP (Pondicherry, India))

  • Govindan Venkatasubramanian

    (IFP (Pondicherry, India))

Abstract

Indian society has been experiencing significant changes since the nineties brought by a gradual set of reforms in favour of a market economy and the country’s integration into the global economy. However, despite outstanding economic growth for the last decades, India continues to be gripped by strong inequalities and the burden of social institutions such as caste, family or gender. Regarding the time pace of such changes, longitudinal studies appear to be particularly useful and revealing in analysing the extent of socio-economic dynamics. This paper aims to propose a new longitudinal data collection tool and a broad picture of socio-economic dynamics in rural areas of Tamil Nadu for the last decade. Data have been collected using the NEEMSIS survey. It is focused on more than 600 households from 10 villages in Tamil Nadu at three points in time; 2010, 2016-17 and 2020-21. The NEEMSIS survey encompass key topics including employment, indebtedness, agriculture, wealth, formation of skills, social networks, or social and spatial mobilities.

Suggested Citation

  • Mary Di Santolo & Isabelle Guérin & Sébastien Michiels & Cécile Mouchel & Arnaud Natal & Christophe Jalil Nordman & Govindan Venkatasubramanian, 2024. "Ten Years in Tamil Nadu: Exploring Labour, Migration and Debt from Longitudinal Household Surveys in South India," Working Papers DT/2024/02, DIAL (Développement, Institutions et Mondialisation).
    • Handle: RePEc:dia:wpaper:dt202402
    as

    Download full text from publisher

    File URL: https://dial.ird.fr/wp-content/uploads/2024/03/2024-02-NEEMSIS_data_context.pdf
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. C. Ratheesh & V. Anitha, 2022. "Gender Disparity in Invisible Economy: Lessons from Indian Time Use Survey," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(2), pages 463-481, June.
    3. repec:dau:papers:123456789/10922 is not listed on IDEAS
    4. Ashwini Deshpande, 2000. "Does Caste Still Define Disparity? A Look at Inequality in Kerala, India," American Economic Review, American Economic Association, vol. 90(2), pages 322-325, May.
    5. Beaman, Lori & Dillon, Andrew, 2012. "Do household definitions matter in survey design? Results from a randomized survey experiment in Mali," Journal of Development Economics, Elsevier, vol. 98(1), pages 124-135.
    6. Hilger, Anne & Nordman, Christophe Jalil, 2020. "The Determinants of Trust: Evidence from Rural South India," IZA Discussion Papers 13150, Institute of Labor Economics (IZA).
    7. Isabelle Gu�rin & Bert D'Espallier & Govindan Venkatasubramanian, 2013. "Debt in Rural South India: Fragmentation, Social Regulation and Discrimination," Journal of Development Studies, Taylor & Francis Journals, vol. 49(9), pages 1155-1171, September.
    8. M. H. Suryanarayana & Ankush Agrawal & K. Seeta Prabhu, 2016. "Inequality-adjusted Human Development Index: States in India," Indian Journal of Human Development, , vol. 10(2), pages 157-175, August.
    9. Elena Reboul & Isabelle Guérin & Antony Raj & G. Venkatasubramanian, 2019. "Managing Economic Volatility. A Gender Perspective," Working Papers CEB 19-015, ULB -- Universite Libre de Bruxelles.
    10. Kumar, Tanu, 2021. "The housing quality, income, and human capital effects of subsidized homes in urban India," Journal of Development Economics, Elsevier, vol. 153(C).
    11. Partha Mukhopadhyay & Marie‐Hélène Zérah & Eric Denis, 2020. "Subaltern Urbanization: Indian Insights for Urban Theory," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 44(4), pages 582-598, July.
    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. Isabelle Guérin & Sébastien Michiels & Arnaud Natal & Christophe Jalil Nordman & Govindan Venkatasubramanian, 2020. "Surviving debt, survival debt in times of lockdown," Working Papers CEB 20-009, ULB -- Universite Libre de Bruxelles.
    2. Reboul, E. & Guérin, I. & Nordman, C.J., 2021. "The gender of debt and credit: Insights from rural Tamil Nadu," World Development, Elsevier, vol. 142(C).
    3. Sébastien Michiels & Christophe Jalil Nordman & Suneha Seetahul, 2021. "Many Rivers to Cross: Social Identity, Cognition, and Labor Mobility in Rural India," The ANNALS of the American Academy of Political and Social Science, , vol. 697(1), pages 66-80, September.
    4. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    5. Thomas Blanchet & Juliette Fournier & Thomas Piketty, 2022. "Generalized Pareto Curves: Theory and Applications," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(1), pages 263-288, March.
    6. Alkire, Sabina & Meinzen-Dick, Ruth & Peterman, Amber & Quisumbing, Agnes & Seymour, Greg & Vaz, Ana, 2013. "The Women’s Empowerment in Agriculture Index," World Development, Elsevier, vol. 52(C), pages 71-91.
    7. Peter Lanjouw & Hai-Anh Dang, 2018. "Welfare dynamics in India over a quarter-century: Poverty, vulnerability, and mobility, 1987–2012," WIDER Working Paper Series 175, World Institute for Development Economic Research (UNU-WIDER).
    8. Aswini Kumar Mishra & Vedant Bhardwaj, 2021. "Wealth distribution and accounting for changes in wealth inequality: empirical evidence from India, 1991–2012," Economic Change and Restructuring, Springer, vol. 54(2), pages 585-620, May.
    9. D'Souza, Anna & Tandon, Sharad, 2015. "Using Household and Intrahousehold Data To Assess Food Insecurity: Evidence from Bangladesh," Economic Research Report 262207, United States Department of Agriculture, Economic Research Service.
    10. Amit Nandan & Hrushikesh Mallick, 2022. "Do growth-promoting factors induce income inequality in a transitioning large developing economy? An empirical evidence from Indian states," Economic Change and Restructuring, Springer, vol. 55(2), pages 1109-1139, May.
    11. Srinivas Goli & Anu Rammohan & Sri Priya Reddy, 2021. "The interaction of household agricultural landholding and Caste on food security in rural Uttar Pradesh, India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(1), pages 219-237, February.
    12. Kumar, Rishabh & Balasubramanian, Sriram & Loungani, Prakash, 2022. "Inequality and locational determinants of the distribution of living standards in India," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 59-69.
    13. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.
    14. Chris Elbers & Peter Lanjouw, 2019. "The distributional impact of structural transformation in rural India: Model-based simulation and case-study evidence," WIDER Working Paper Series wp-2019-33, World Institute for Development Economic Research (UNU-WIDER).
    15. Varsha S Kulkarni & Raghav Gaiha, 2018. "Beyond Piketty: a new perspective on poverty and inequality in India," Global Development Institute Working Paper Series 332018, GDI, The University of Manchester.
    16. Gaurav Datt & Martin Ravallion & Rinku Murgai, 2020. "Poverty and Growth in India over Six Decades," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 4-27, January.
    17. Supriya Garikipati & Isabelle Agier & Isabelle Guérin & Ariane Szafarz, 2017. "The Cost of Empowerment: Multiple Sources of Women’s Debt in Rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 53(5), pages 700-722, May.
    18. Hadrien Saiag, 2020. "Consumer Credit and Debt," Post-Print halshs-03095993, HAL.
    19. Marko Ledic & Ivica Rubil & Ivica Urban, 2022. "Missing top incomes and tax-benefit microsimulation: evidence from correcting household survey data using tax records data," Working Papers 609, ECINEQ, Society for the Study of Economic Inequality.
    20. Dang,Hai-Anh H. & Lanjouw,Peter F., 2020. "Welfare Dynamics in India over a Quarter Century : Poverty, Vulnerability, and Mobility during 1987-2012," Policy Research Working Paper Series 9231, The World Bank.

    More about this item

    Keywords

    Panel data; household survey; caste; Tamil Nadu; labour; debt; gender; migration.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D1 - Microeconomics - - Household Behavior
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dia:wpaper:dt202402. 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: Loic Le Pezennec (email available below). General contact details of provider: https://edirc.repec.org/data/diallfr.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.