IDEAS home Printed from https://ideas.repec.org/p/pas/asarcc/2010-12.html
   My bibliography  Save this paper

Net Transfer Benefit under National Rural Employment Guarantee Scheme

Author

Listed:
  • Raghbendra Jha
  • Raghav Gaiha
  • Manoj K. Pandey

Abstract

This paper explores the important but relatively neglected issue of real income transfers, net of the opportunity cost of time, under India’s National Rural Employment Guarantee Scheme. We use representative household level primary data for three states, Rajasthan, Andhra Pradesh and Maharashtra to depict various individual and social characteristics of the population in these states as well as those of the participants in the NREGS. We also model the stochastic dominance comparisons of the log of per capita monthly expenditures of participants with and without alternative employment opportunities in the absence of NREG as well as the determinants of such opportunities. As an approximate measure of the net transfer benefits under NREGS, we consider shares of NREG earnings net of the opportunity cost of time in household income net of NREG earnings net of the opportunity cost of time. The distribution of such net transfers across household characteristics as well as the distribution of benefits across villages in the three states are also discussed. In general net transfers under the NREGS are quite modest.

Suggested Citation

  • Raghbendra Jha & Raghav Gaiha & Manoj K. Pandey, 2010. "Net Transfer Benefit under National Rural Employment Guarantee Scheme," ASARC Working Papers 2010-12, The Australian National University, Australia South Asia Research Centre.
  • Handle: RePEc:pas:asarcc:2010-12
    as

    Download full text from publisher

    File URL: https://crawford.anu.edu.au/acde/asarc/pdf/papers/2010/WP2010_12.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Subramanian, Shankar & Deaton, Angus, 1996. "The Demand for Food and Calories," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 133-162, February.
    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. Tandel, Vaidehi & Hiranandani, Komal & Kapoor, Mudit, 2019. "What’s in a definition? A study on the suitability of the current urban definition in India through its employment guarantee programme," Journal of Asian Economics, Elsevier, vol. 60(C), pages 69-84.

    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. Jaya Jumrani & P. S. Birthal, 2017. "Does consumption of tobacco and alcohol affect household food security? Evidence from rural India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(2), pages 255-279, April.
    2. Basole, Amit & Basu, Deepankar, 2015. "Fuelling Calorie Intake Decline: Household-Level Evidence from Rural India," World Development, Elsevier, vol. 68(C), pages 82-95.
    3. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    4. Raghav Gaiha & Katsushi Imai, 2002. "Rural Public Works and Poverty Alleviation--the case of the employment guarantee scheme in Maharashtra," International Review of Applied Economics, Taylor & Francis Journals, vol. 16(2), pages 131-151.
    5. Hoderlein, Stefan & White, Halbert, 2012. "Nonparametric identification in nonseparable panel data models with generalized fixed effects," Journal of Econometrics, Elsevier, vol. 168(2), pages 300-314.
    6. Clément Bellet, 2017. "Essays on Inequality, Social Preferences and Consumer Behavior," Sciences Po publications info:hdl:2441/vbu6kd1s68o, Sciences Po.
    7. Abhijit V. Banerjee & Esther Duflo, 2007. "The Economic Lives of the Poor," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 141-168, Winter.
    8. Jonathan Colmer, 2013. "Climate Variability, Child Labour and Schooling: Evidence on the Intensive and Extensive Margin," GRI Working Papers 132, Grantham Research Institute on Climate Change and the Environment.
    9. P. J. Dawson & A. I. Sanjuan, 2011. "Calorie consumption and income: panel cointegration and causality evidence in developing countries," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1455-1461.
    10. 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.
    11. Halliday, Timothy J. & Kwak, Sally, 2009. "Weight gain in adolescents and their peers," Economics & Human Biology, Elsevier, vol. 7(2), pages 181-190, July.
    12. Thibault Fally & Benjamin Faber, 2016. "Firm Heterogeneity in Consumption Baskets: Evidence from Home and Store Scanner Data," 2016 Meeting Papers 381, Society for Economic Dynamics.
    13. Jha,R., 2000. "Reducing Poverty and Inequality in India: Has Liberalization Helped?," Research Paper 204, World Institute for Development Economics Research.
    14. Paula Carvalho Pereda & Denisard Cneio de Oliveira Alves, 2008. "Demand for Nutrients in Brazil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211136590, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Jing You & Katsushi S. Imai & Raghav Gaiha, 2014. "Decoding the Growth-Nutrition Nexus in China: Inequality, Uncertainty and Food Insecurity," Discussion Paper Series DP2014-28, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2014.
    16. Chandana Maitra & Sriram Shankar & D.S. Prasada Rao, 2016. "Income Poor or Calorie Poor? Who should get the Subsidy?," Discussion Papers Series 564, School of Economics, University of Queensland, Australia.
    17. Marta Ruiz-Arranz & Benjamin Davis & Marco Stampini & Paul Winters & Sudhanshu Handa, 2002. "More Calories or More Diversity? An econometric evaluation of the impact of the PROGRESA and PROCAMPO transfer programmes on food security in rural Mexico," Working Papers 02-09, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    18. Victor Lavy & Analia Schlosser, 2005. "Targeted Remedial Education for Underperforming Teenagers: Costs and Benefits," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 839-874, October.
    19. Samuel Perlo‐Freeman & Don J. Webber, 2009. "Basic Needs, Government Debt and Economic Growth," The World Economy, Wiley Blackwell, vol. 32(6), pages 965-994, June.
    20. Bruno Lanz & Simon Dietz & Tim Swanson, 2016. "Economic growth and agricultural land conversion under uncertain productivity improvements in agriculture," GRI Working Papers 240, Grantham Research Institute on Climate Change and the Environment.

    More about this item

    Keywords

    National Rural Employment Guarantee Scheme; Net Transfer benefit; stochastic dominance;
    All these keywords.

    JEL classification:

    • 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
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • D60 - Microeconomics - - Welfare Economics - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

    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:pas:asarcc:2010-12. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/asanuau.html .

    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: Raghbendra Jha (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.