IDEAS home Printed from https://ideas.repec.org/p/ess/wpaper/id1907.html
   My bibliography  Save this paper

Poverty, Undernutrition and Vulnerability in Rural India: Public Works versus Food Subsidy

Author

Listed:
  • Raghbendra Jha

Abstract

This paper analyses the effects of access to Rural Public Works (RPW) and the Public Distribution System (PDS), a public food subsidy programme, on consumption poverty, vulnerability and undernutrition in India drawing, on the large household datasets constructed with National Sample Survey (NSS) data, 50th round in 1993-1994 and 61st round in 2004-2005. The treatment effects model and propensity score matching (PSM) model are used to take account of the sample selection bias in evaluating the effects of RPW or PDS on poverty.

Suggested Citation

  • Raghbendra Jha, 2009. "Poverty, Undernutrition and Vulnerability in Rural India: Public Works versus Food Subsidy," Working Papers id:1907, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:1907
    as

    Download full text from publisher

    File URL: http://www.eSocialSciences.com/data/articles/Document12742009100.5408747.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. Besley, Timothy & Coate, Stephen, 1992. "Workfare versus Welfare Incentive Arguments for Work Requirements in Poverty-Alleviation Programs," American Economic Review, American Economic Association, vol. 82(1), pages 249-261, March.
    3. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    5. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
    6. Ravallion, Martin, 2008. "Evaluating Anti-Poverty Programs," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 59, pages 3787-3846, Elsevier.
    7. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    8. Raghav Gaiha & Ganesh Thapa & Katsushi Imai & Vani S. Kulkarni, 2007. "Endowments, discrimination and deprivation among ethnic groups," Economics Discussion Paper Series 0722, Economics, The University of Manchester.
    9. Ira N. Gang & Kunal Sen & Myeong‐Su Yun, 2008. "Poverty In Rural India: Caste And Tribe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(1), pages 50-70, March.
    10. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
    11. Md. Shafiul Azam & Katsushi Imai, 2009. "Vulnerability and Poverty in Bangladesh," Economics Discussion Paper Series 0905, Economics, The University of Manchester.
    12. Sonia Bhalotra, 2002. "Welfare Implications of Fiscal Reform: The Case of Food Subsidies in India," WIDER Working Paper Series DP2002-32, World Institute for Development Economic Research (UNU-WIDER).
    13. Foster, Andrew D, 1995. "Nutrition and Health Investment," American Economic Review, American Economic Association, vol. 85(2), pages 148-152, May.
    14. Raghbendra Jha & Raghav Gaiha, 2003. "Determinants of Undernutrition in Rural India," ASARC Working Papers 2003-01, The Australian National University, Australia South Asia Research Centre.
    15. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    16. Todd, Petra E., 2008. "Evaluating Social Programs with Endogenous Program Placement and Selection of the Treated," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 60, pages 3847-3894, Elsevier.
    17. Dasgupta, Partha, 1997. "Nutritional status, the capacity for work, and poverty traps," Journal of Econometrics, Elsevier, vol. 77(1), pages 5-37, March.
    18. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    19. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katsushi Imai & Xiaobing Wang & Woojin Kang, 2010. "Poverty and vulnerability in rural China: effects of taxation," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 8(4), pages 399-425.
    2. Raghbendra Jha & Woojin Kang & Hari K. Nagarajan & Kailash C. Pradhan, 2012. "Vulnerability and Responses to Risk in Rural India," ASARC Working Papers 2012-05, The Australian National University, Australia South Asia Research Centre.
    3. Katsushi S. Imai, 2011. "Poverty, undernutrition and vulnerability in rural India: role of rural public works and food for work programmes," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(6), pages 669-691, November.
    4. Gillespie, Stuart & Harris, Jody & Kadiyala, Suneetha, 2012. "The Agriculture-Nutrition Disconnect in India: What Do We Know?:," IFPRI discussion papers 1187, International Food Policy Research Institute (IFPRI).
    5. Bronfman, Javier & Floro, Maria, 2014. "How well has the Social Protection Scheme Reduced Vulnerability in Chile?," MPRA Paper 63255, University Library of Munich, Germany.
    6. Keshab Raj BHATTARAI, 2010. "Trade and Poverty in South Asia," EcoMod2010 259600027, EcoMod.
    7. Maria S. Floro & Javier Bronfman, 2012. "How Well have Social Protection Schemes in Chile Reduced Household Vulnerability?," Working Papers 2012-03, American University, Department of Economics.

    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. Katsushi S. Imai, 2011. "Poverty, undernutrition and vulnerability in rural India: role of rural public works and food for work programmes," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(6), pages 669-691, November.
    2. Katsushi S. Imai & MD. Shafiul Azam, 2011. "Does Microfinance Reduce Poverty in Bangladesh? New Evidence from Household Panel Data," Journal of Development Studies, Taylor & Francis Journals, vol. 48(5), pages 633-653, October.
    3. Katsushi Imai & Thankom Arun, 2008. "Does Microfinance Reduce Poverty in India?," Economics Discussion Paper Series 0814, Economics, The University of Manchester.
    4. 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.
    5. Md. Faruq Hasan & Katsushi S. Imai & Takahiro Sato, 2012. "Impacts of Agricultural Extension on Crop Productivity, Poverty and Vulnerability: Evidence from Uganda," Discussion Paper Series DP2012-34, Research Institute for Economics & Business Administration, Kobe University, revised Feb 2013.
    6. Asad K. Ghalib & Issam Malki & Katsushi S. Imai, 2011. "The Impact of Microfinance and its Role in Easing Poverty of Rural Households: Estimations from Pakistan," Discussion Paper Series DP2011-28, Research Institute for Economics & Business Administration, Kobe University.
    7. Henrik Hansen & Ninja Ritter Klejnstrup & Ole Winckler Andersen, 2011. "A Comparison of Model-based and Design-based Impact Evaluations of Interventions in Developing Countries," IFRO Working Paper 2011/16, University of Copenhagen, Department of Food and Resource Economics.
    8. Katsushi S. Imai & Raghav Gaiha & Woojin Kang & Samuel Annim & Ganesh Thapa, 2012. "Does Risk Matter? A Semi-parametric Model for Educational Choices in the Presence of Uncertainty," Economics Discussion Paper Series 1226, Economics, The University of Manchester.
    9. Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
    10. Henson, Spencer & Masakure, Oliver & Cranfield, John, 2011. "Do Fresh Produce Exporters in Sub-Saharan Africa Benefit from GlobalGAP Certification?," World Development, Elsevier, vol. 39(3), pages 375-386, March.
    11. Katsushi S. Imai & Md. Faruq Hasan & Eleonora Porreca, 2015. "Do Agricultural Extension Programmes Reduce Poverty and Vulnerability? Farm Size, Agricultural Productivity and Poverty in Uganda," Discussion Paper Series DP2015-06, Research Institute for Economics & Business Administration, Kobe University.
    12. Santosh Kumar & Ganesh Rauniyar, 2018. "The impact of rural electrification on income and education: Evidence from Bhutan," Review of Development Economics, Wiley Blackwell, vol. 22(3), pages 1146-1165, August.
    13. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Silva Quintero, Edgar, 2016. "How Forced Displacements Caused by a Violent Conflict Affect Wages in Colombia," IZA Discussion Papers 9926, Institute of Labor Economics (IZA).
    14. Lusi Liao & Sasiwimon Warunsiri Paweenawat, 2021. "The inversion of married women's labour supply and wage: Evidence from Thailand," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 82-98, May.
    15. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    16. Paudel, G. & Krishna, V. & McDonald, A., 2018. "Why some inferior technologies succeed? Examining the diffusion and impacts of rotavator tillage in Nepal Terai," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277149, International Association of Agricultural Economists.
    17. Jia, Xiangping, 2009. "Synergistic Green and White Revolution: Evidence from Kenya and Uganda," 2009 Conference, August 16-22, 2009, Beijing, China 51367, International Association of Agricultural Economists.
    18. Serge Atherwood & Corey S Sparks, 2019. "Early-career trajectories of young workers in the U.S. in the context of the 2008–09 recession: The effect of labor market entry timing," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-30, March.
    19. Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod K. & D'souza, Alwin, 2016. "Impact of contracts in high yielding varieties seed production on profits and yield: The case of Nepal," Food Policy, Elsevier, vol. 62(C), pages 110-121.
    20. Giuseppe PORRO & Stefano Maria IACUS, 2004. "Average treatment effect estimation via random recursive partitioning," Departmental Working Papers 2004-28, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    More about this item

    Keywords

    NSS; national sample survey; poverty; undernutrition; vulnerability; Rural Public Works (RPW); Public Distribution System (PDS); poverty reduction policy; treatment effects model; Propensity Score Matching (PSM) model; India;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

    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:ess:wpaper:id:1907. 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: Padma Prakash (email available below). General contact details of provider: http://www.esocialsciences.org .

    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.