Estimating from grouped and specific percentile data the proportion and number of poor for states and India in 2022–23: Methodological and pedagogical insights
By: Mishra, Srijit
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Material type: 
BookPublisher: Economic & Political Weekly Description: 60(17), Apr 26, 2025: p.51-58.
In:
Economic & Political WeeklySummary: Poverty estimates of rural, urban and combined areas for the states and for India, in 2022–23, have been computed. The methodological and pedagogical insights gained were sixfold. First, items were matched from the consumer price index, 2012 base with items matched from poverty level baskets of Tendulkar and Rangarajan, and PLB weights were assigned to the matched items. Second, the state sector-specific (sector denotes rural or urban areas) PLB-specific inflation index of 2022–23 over 2011–12 was computed. Third, the state sector-specific PLB-specific poverty lines for 2022–23 was calculated. Fourth, from grouped and specific percentile data of the Household Consumption Expenditure of 2022–23, estimated the lower and upper percentiles and their associated monthly per capita expenditure between which lies the state sector-specific PLB-specific poverty line. Fifth, estimated state sector-specific proportion and the number of poor. Sixth, using the projected population to obtain population shares, applied them to compute state-specific estimates for combined and India-specific estimates for rural, urban and combined areas. In 2022–23, for India, the updated Tendulkar poverty lines indicate a poverty incidence of 6.4% for rural areas, 3.1% for urban areas and 5.3% for combined areas, while the updated Rangarajan poverty lines indicate a poverty incidence of 9.3% for rural areas, 9.5% for urban areas and 9.4% for combined areas. – Reproduced
https://www.epw.in/journal/2025/17/special-articles/estimating-grouped-and-specific-percentile-data.html
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 60(17), Apr 26, 2025: p.51-58 | Available | AR136024 |
Poverty estimates of rural, urban and combined areas for the states and for India, in 2022–23, have been computed. The methodological and pedagogical insights gained were sixfold. First, items were matched from the consumer price index, 2012 base with items matched from poverty level baskets of Tendulkar and Rangarajan, and PLB weights were assigned to the matched items. Second, the state sector-specific (sector denotes rural or urban areas) PLB-specific inflation index of 2022–23 over 2011–12 was computed. Third, the state sector-specific PLB-specific poverty lines for 2022–23 was calculated. Fourth, from grouped and specific percentile data of the Household Consumption Expenditure of 2022–23, estimated the lower and upper percentiles and their associated monthly per capita expenditure between which lies the state sector-specific PLB-specific poverty line. Fifth, estimated state sector-specific proportion and the number of poor. Sixth, using the projected population to obtain population shares, applied them to compute state-specific estimates for combined and India-specific estimates for rural, urban and combined areas. In 2022–23, for India, the updated Tendulkar poverty lines indicate a poverty incidence of 6.4% for rural areas, 3.1% for urban areas and 5.3% for combined areas, while the updated Rangarajan poverty lines indicate a poverty incidence of 9.3% for rural areas, 9.5% for urban areas and 9.4% for combined areas. – Reproduced
https://www.epw.in/journal/2025/17/special-articles/estimating-grouped-and-specific-percentile-data.html
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