Disaggregate-level disparity in the incidence of poverty in Chhattisgarh, India
2023
Priyanka Anjoy | Hukum Chandra
Poverty is widespread in India, especially in far-flung rural areas, and disparities exist among and between states and social groups. To design programmes that alleviate poverty, policymakers need disaggregated data. The small area estimation (SAE) technique using the hierarchical Bayes model generates representative, micro-level estimates of poverty incidence. The results of a study in Chhattisgarh show that the SAE-based estimates are precise, and can help the government formulate micro-level antipoverty strategies.
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书目信息
出版者
Agricultural Economics Research Association (India)
其它主题
Small area estimation (sae) technique; Hierarchical bayes model; Sustainable development goal (sdg); National sample survey office (nsso)
语言
英语
格式
application/pdf
类型
Journal Article; Journal Part; Info:eu-Repo/semantics/publishedversion; Journal Article; Journal Part
状态
published version, peer reviewed
来源
Agricultural Economics Research Review; Vol. 33 No. 1 (2020): Agricultural Economics Research Review; 23-33, 0974-0279, 0971-3441
2023-08-25
Dublin Core