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Localised estimates and spatial mapping of poverty incidence in the state of Bihar in India—An application of small area estimation techniques

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Title Localised estimates and spatial mapping of poverty incidence in the state of Bihar in India—An application of small area estimation techniques
Not Available
 
Creator Hukum Chandra
Kaustav Aditya
U.C. Sud
 
Subject Small area estimation
 
Description Not Available
Poverty affects many people, but the ramifications and impacts affect all aspects of society.
Information about the incidence of poverty is therefore an important parameter of the population
for policy analysis and decision making. In order to provide specific, targeted solutions
when addressing poverty disadvantage small area statistics are needed. Surveys are typically
designed and planned to produce reliable estimates of population characteristics of
interest mainly at higher geographic area such as national and state level. Sample sizes are
usually not large enough to provide reliable estimates for disaggregated analysis. In many
instances estimates are required for areas of the population for which the survey providing
the data was unplanned. Then, for areas with small sample sizes, direct survey estimation
of population characteristics based only on the data available from the particular area tends
to be unreliable. This paper describes an application of small area estimation (SAE)
approach to improve the precision of estimates of poverty incidence at district level in the
State of Bihar in India by linking data from the Household Consumer Expenditure Survey
2011–12 of NSSO and the Population Census 2011. The results show that the district level
estimates generated by SAE method are more precise and representative. In contrast, the
direct survey estimates based on survey data alone are less stable.
Not Available
 
Date 2018-10-19T09:31:40Z
2018-10-19T09:31:40Z
2018-06-07
 
Type Research Paper
 
Identifier Chandra H, Aditya K, Sud UC (2018) Localised estimates and spatial mapping of poverty incidence in the state of Bihar in India—An application of small area estimation techniques. PLoS ONE 13(6): e0198502. https://doi.org/ 10.1371/journal.pone.0198502
Not Available
https://doi.org/10.1371/journal.pone.0198502
http://krishi.icar.gov.in/jspui/handle/123456789/8015
 
Language English
 
Relation Not Available;
 
Publisher PLOS ONE