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Does Access to Key Household Resources Help in Reducing Violence against Women?

Author

Listed:
  • Siddhartha Bandyopadhyay

    (University of Birmingham)

  • Sanjukta Sarkar

    (ICMR-National Institute of Medical Statistics)

  • Rudra Sensarma

    (Indian Institute of Management Kozhikode)

Abstract

We provide the first comprehensive analysis of the impact of three key household resources (water, sanitation and cooking fuel) on both non-partner violence (NPV) and intimate partner violence (IPV) experienced by women. We use data from a nationally representative household survey for India obtained from the latest (fourth) round of the National Family Health Survey conducted in 2015-16. We employ matching techniques (propensity score matching and inverse-probability-weighted regression adjustment) to control for selection bias in the estimation of the effects of household resources on IPV and NPV. Unlike previous work, we analyze the different categories of NPV (i.e. physical and sexual) and IPV (i.e. physical, sexual and emotional) separately, thereby isolating the effects on the different types of violence. We find that emotional IPV decreases with access to cooking fuel and toilets while sexual IPV decreases with provision of cooking fuel. Provision of all three key resources reduces physical NPV but there is no effect on sexual NPV. These results are found to be robust to selection on unobservables using the Rosenbaum bounds approach.

Suggested Citation

  • Siddhartha Bandyopadhyay & Sanjukta Sarkar & Rudra Sensarma, 2021. "Does Access to Key Household Resources Help in Reducing Violence against Women?," Discussion Papers 21-09, Department of Economics, University of Birmingham.
    • Handle: RePEc:bir:birmec:21-09
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    References listed on IDEAS

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    1. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6b.
    2. Cools, Sara & Kotsadam, Andreas, 2017. "Resources and Intimate Partner Violence in Sub-Saharan Africa," World Development, Elsevier, vol. 95(C), pages 211-230.
    3. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. Parimita Routray & Belen Torondel & Thomas Clasen & Wolf-Peter Schmidt, 2017. "Women's role in sanitation decision making in rural coastal Odisha, India," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-17, May.
    6. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    7. Grant Miller & A. Mushfiq Mobarak, 2013. "Gender Differences in Preferences, Intra-Household Externalities, and Low Demand for Improved Cookstoves," NBER Working Papers 18964, National Bureau of Economic Research, Inc.
    8. J.J. Heckman & E.E. Leamer (ed.), 2007. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 6, number 6a.
    9. Stevenson, Edward G.J. & Greene, Leslie E. & Maes, Kenneth C. & Ambelu, Argaw & Tesfaye, Yihenew Alemu & Rheingans, Richard & Hadley, Craig, 2012. "Water insecurity in 3 dimensions: An anthropological perspective on water and women's psychosocial distress in Ethiopia," Social Science & Medicine, Elsevier, vol. 75(2), pages 392-400.
    10. Sofia Amaral & Siddhartha Bandyopadhyay & Rudra Sensarma, 2015. "Employment Programmes for the Poor and Female Empowerment: The Effect of NREGS on Gender-based Violence in India," Journal of Interdisciplinary Economics, , vol. 27(2), pages 199-218, July.
    11. Linnemayr, Sebastian & Alderman, Harold, 2011. "Almost random: Evaluating a large-scale randomized nutrition program in the presence of crossover," Journal of Development Economics, Elsevier, vol. 96(1), pages 106-114, September.
    12. Anurag N. Banerjee & Nilanjan Banik & Ashvika Dalmia, 2017. "Demand for household sanitation in India using NFHS-3 data," Empirical Economics, Springer, vol. 53(1), pages 307-327, August.
    13. Anke Hoeffler, 2017. "What are the costs of violence?," Politics, Philosophy & Economics, , vol. 16(4), pages 422-445, November.
    14. N'dri, Lasme Mathieu & Kakinaka, Makoto, 2020. "Financial inclusion, mobile money, and individual welfare: The case of Burkina Faso," Telecommunications Policy, Elsevier, vol. 44(3).
    15. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
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    Keywords

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    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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