IDEAS home Printed from https://ideas.repec.org/p/ags/aaea09/49396.html
   My bibliography  Save this paper

“Poor stays poor” - Household asset poverty traps in rural semi-arid India

Author

Listed:
  • Naschold, Felix

Abstract

Although identifying the existence and the nature of household-level poverty traps would have important implications for the design of poverty reduction policies empirical evidence is still scant. A small, but growing empirical literature has begun testing for poverty traps as thresholds in non-linear welfare dynamics. Employing a variety of quantitative methods it has produced a variety of conclusions. This paper uses a uniquely long household panel from three villages in rural India to examine whether the detection of poverty traps may be contingent on the quantitative method used to model household welfare dynamics. It then employs a novel semiparametric panel data estimator that combines the advantages of the existing methods. Since in the context of dynamic poverty traps we are primarily concerned with expected, structural well-being it measures household welfare in assets. Structural immobility in these Indian villages is pervasive. Household asset holdings are stagnant over time. Absent any structural changes, the currently poor are likely to remain poor, suggesting a strong type of poverty trap that is qualitatively different from a dynamic thresholds-type poverty trap. While all types of households face static asset holdings, higher castes, larger landholders and more educated households are significantly less likely to be poor.

Suggested Citation

  • Naschold, Felix, 2009. "“Poor stays poor” - Household asset poverty traps in rural semi-arid India," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49396, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49396
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/49396
    Download Restriction: no

    References listed on IDEAS

    as
    1. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, March.
    2. Kaushik Basu, 1999. "Child Labor: Cause, Consequence, and Cure, with Remarks on International Labor Standards," Journal of Economic Literature, American Economic Association, vol. 37(3), pages 1083-1119, September.
    3. Harold Alderman & Jere Behrman & Hans-Peter Kohler & John A. Maluccio & Susan Watkins, 2001. "Attrition in Longitudinal Household Survey Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(4), pages 79-124, November.
    4. Christopher B. Barrett, 2005. "Rural poverty dynamics: development policy implications," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 45-60, January.
    5. Townsend, Robert M, 1994. "Risk and Insurance in Village India," Econometrica, Econometric Society, pages 539-591.
    6. Emerson, Patrick M & Souza, Andre Portela, 2003. "Is There a Child Labor Trap? Intergenerational Persistence of Child Labor in Brazil," Economic Development and Cultural Change, University of Chicago Press, pages 375-398.
    7. Christopher Barrett & Paswel Phiri Marenya & John Mcpeak & Bart Minten & Festus Murithi & Willis Oluoch-Kosura & Frank Place & Jean Claude Randrianarisoa & Jhon Rasambainarivo & Justine Wangila, 2006. "Welfare dynamics in rural Kenya and Madagascar," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 248-277.
    8. Falaris, Evangelos M., 2003. "The effect of survey attrition in longitudinal surveys: evidence from Peru, Cote d'Ivoire and Vietnam," Journal of Development Economics, Elsevier, vol. 70(1), pages 133-157, February.
    9. Michael Carter & Christopher Barrett, 2006. "The economics of poverty traps and persistent poverty: An asset-based approach," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 178-199.
    10. Dasgupta, Partha, 1997. "Nutritional status, the capacity for work, and poverty traps," Journal of Econometrics, Elsevier, vol. 77(1), pages 5-37, March.
    11. Oded Galor & Joseph Zeira, 1993. "Income Distribution and Macroeconomics," Review of Economic Studies, Oxford University Press, vol. 60(1), pages 35-52.
    12. Christopher Scott, 2000. "Mixed fortunes: A study of poverty mobility among small farm households in Chile, 1968-86," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 155-180.
    13. Cecilia Garcia-Penalosa & Eve Caroli & Philippe Aghion, 1999. "Inequality and Economic Growth: The Perspective of the New Growth Theories," Journal of Economic Literature, American Economic Association, pages 1615-1660.
    14. Dasgupta, Partha & Ray, Debraj, 1986. "Inequality as a Determinant of Malnutrition and Unemployment: Theory," Economic Journal, Royal Economic Society, vol. 96(384), pages 1011-1034, December.
    15. Jalan, Jyotsna & Ravallion, Martin, 2001. "Household income dynamics in rural China," Policy Research Working Paper Series 2706, The World Bank.
    16. repec:dau:papers:123456789/10091 is not listed on IDEAS
    17. Banerjee, Abhijit V & Newman, Andrew F, 1993. "Occupational Choice and the Process of Development," Journal of Political Economy, University of Chicago Press, vol. 101(2), pages 274-298, April.
    18. Michelle Adato & Michael Carter & Julian May, 2006. "Exploring poverty traps and social exclusion in South Africa using qualitative and quantitative data," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 226-247.
    19. Santos, Paulo & Barrett, Christopher B., 2006. "Informal Insurance in the Presence of Poverty Traps: Evidence from Southern Ethiopia," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25487, International Association of Agricultural Economists.
    20. Banerjee, Abhijit V & Duflo, Esther, 2003. "Inequality and Growth: What Can the Data Say?," Journal of Economic Growth, Springer, vol. 8(3), pages 267-299, September.
    21. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, March.
    22. Travis J. Lybbert & Christopher B. Barrett & Solomon Desta & D. Layne Coppock, 2004. "Stochastic wealth dynamics and risk management among a poor population," Economic Journal, Royal Economic Society, vol. 114(498), pages 750-777, October.
    23. Loury, Glenn C, 1981. "Intergenerational Transfers and the Distribution of Earnings," Econometrica, Econometric Society, vol. 49(4), pages 843-867, June.
    24. Barrett, Christopher B. & McPeak, John G., 2003. "Poverty Traps and Safety Nets," Working Papers 127808, Cornell University, Department of Applied Economics and Management.
    25. Lokshin Michael & Ravallion Martin, 2004. "Household Income Dynamics in Two Transition Economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-33, September.
    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. Jakobsen, Kristian Thor, 2012. "In the Eye of the Storm—The Welfare Impacts of a Hurricane," World Development, Elsevier, vol. 40(12), pages 2578-2589.
    2. Arunachalam, Raj & Shenoy, Ajay, 2017. "Poverty traps, convergence, and the dynamics of household income," Journal of Development Economics, Elsevier, vol. 126(C), pages 215-230.
    3. Giesbert, Lena & Schindler, Kati, 2012. "Assets, Shocks, and Poverty Traps in Rural Mozambique," World Development, Elsevier, vol. 40(8), pages 1594-1609.
    4. Alejandro López-Feldman & Javier Parada, 2011. "Poverty Dynamics in Rural Mexico: An Analysis Using Four Generations of Poverty Measurement," Working papers DTE 505, CIDE, División de Economía.

    More about this item

    Keywords

    Household Welfare Dynamics; Semiparametric Estimation; Penalized Splines; India; Panel Data; Asset Poverty; International Development; I32; C14; O12;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of 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:ags:aaea09:49396. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/aaeaaea.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 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.

    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.