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District level poverty estimation: a spatial approach


  • Somnath Chattopadhyay

    () (Indian Statistical Institute)


The paper uses the procedure for estimating regional consumer price index numbers based on the estimation of item-specific region wise Engel curves. Given the problem of unavailability of official district level poverty lines, the same are estimated by multiplying the official state level poverty line by the district level price indices estimated taking state as the base region. The poverty measures adjusted for the district level poverty lines, give a clearer picture for the spatial variations in levels of living across the districts of West Bengal, an eastern state of India.

Suggested Citation

  • Somnath Chattopadhyay, 2010. "District level poverty estimation: a spatial approach," Economics Bulletin, AccessEcon, vol. 30(4), pages 2962-2977.
  • Handle: RePEc:ebl:ecbull:eb-10-00558

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    References listed on IDEAS

    1. van der Laak, W.W.M. & Raven, R.P.J.M. & Verbong, G.P.J., 2007. "Strategic niche management for biofuels: Analysing past experiments for developing new biofuel policies," Energy Policy, Elsevier, vol. 35(6), pages 3213-3225, June.
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    Cited by:

    1. Eiji Yamamura, 2011. "Homeownership and investment for social capital in Japan: Dynamic Panel approach," Economics Bulletin, AccessEcon, vol. 31(3), pages 2250-2259.
    2. Anirban Mitra & Shabana Mitra, 2017. "Electoral Uncertainty, Income Inequality and The Middle Class," Economic Journal, Royal Economic Society, vol. 127(602), pages 1119-1152, June.
    3. Ingvild Almas & Anders Kjelsrud & Rohini Somanathan, 2013. "A Behaviour-Based Approach To The Estimation Of Poverty In India," Working papers 226, Centre for Development Economics, Delhi School of Economics.

    More about this item


    Poverty line; Delta method; Cost of living;

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis


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