District-level poverty estimation: a proposed method

Dipankor Coondoo, Amita Majumder and Somnath Chattopadhyay

Journal of Applied Statistics, 2011, vol. 38, issue 10, 2327-2343

Abstract: This paper develops a method of estimating micro-level poverty in cases where data are scarce. The method is applied to estimate district-level poverty using the household level Indian national sample survey data for two states, viz., West Bengal and Madhya Pradesh. The method involves estimation of state-level poverty indices from the data formed by pooling data of all the districts (each time excluding one district) and multiplying this poverty vector with a known weight matrix to obtain the unknown district-level poverty vector. The proposed method is expected to yield reliable estimates at the district level, because the district-level estimate is now based on a much larger sample size obtained by pooling data of several districts. This method can be an alternative to the “small area estimation technique” for estimating poverty at sub-state levels in developing countries.

Keywords: district-level poverty; scarce data; bootstrap; extraneous information; sub-sample estimate (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:38:y:2011:i:10:p:2327-2343

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DOI: 10.1080/02664763.2010.547568

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