District-level poverty estimation: a proposed method |
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Authors: | Dipankor Coondoo Amita Majumder |
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Institution: | Economic Research Unit , Indian Statistical Institute , 203 B. T. Road, Kolkata, 700 108, India |
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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. |
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Keywords: | district-level poverty scarce data bootstrap extraneous information sub-sample estimate |
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