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This study presents a detailed analysis of various quantitative poverty indicators and their threshold implications. Utilizing data from SHIREE, HIES, and PRCPB, it employs probit and OLS regression models to assess extreme poverty and per capita expenditure. Key findings focus on household distribution by size, land ownership, non-land assets, electricity access, sanitation, and employment status of household heads. The analysis culminates in identifying three critical indicators—land ownership, non-land assets, and employment status—essential for pinpointing extreme poverty.
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Poverty Thresholds Analysis: Reassessing and Revalidating Quantitative Indicators Zulfiqar Ali 02 May 2011
Mean Values of and Household Distribution by Candidate Poverty Indicators
Mean Values of and Household Distribution by Candidate Poverty Indicators (SHIREE/HIES/PRCPB)
Probit Model for the Extreme Poverty (Bottom 10%) Indicators
Comparison of Significance of Poverty Indicators by Different Models
Distribution of Households by Household Size and Poverty Status
Distribution of Households by Cultivable Land and Poverty Status
Distribution of Households by Non-land Asset and Poverty Status
Distribution of Households by Access to Electricity and Poverty Status
Distribution of Households by Access to Sanitary Toilet and Poverty Status
Distribution of Households by Employment Status of the HH Head and Poverty Status
What do we get from the analyses presented above? THREE indicators may be taken into consideration in combination to identify the extreme-poor households as follows: - Land ownership (cultivable): Not more than .50 acre; - Total non-land asset: Not more than Taka 20,000; and - Employment status: At best wage laborer
Distribution of Households That Satisfythe Above Criteria (contd.)