Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Poverty Probability Index× | Multidimensional Poverty Index× | |
|---|---|---|
| Галузь≠ | Development Studies | Економіка |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 2005 | 2011 |
| Автор методу≠ | Mark Schreiner; Grameen Foundation (now Innovations for Poverty Action) | Sabina Alkire & James Foster |
| Тип≠ | Poverty-likelihood scoring instrument | Counting-based multidimensional poverty measure |
| Основоположне джерело≠ | Schreiner, M. (2016). The Poverty Probability Index (PPI): A Brief on Calculating Annual Poverty Rates and Movement Across a Poverty Line. Innovations for Poverty Action / PovertyIndex.org. link ↗ | Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487. DOI ↗ |
| Інші назви | PPI, Progress out of Poverty Index, Poverty Scorecard, Poverty Likelihood Scorecard | MPI, Alkire-Foster Method, Adjusted Headcount Ratio, Dual-Cutoff Multidimensional Poverty |
| Пов'язані≠ | 4 | 3 |
| Підсумок≠ | The Poverty Probability Index (PPI), formerly the Progress out of Poverty Index, is a simple, country-specific scorecard that estimates the likelihood that a household is living below a given poverty line. Developed by Mark Schreiner and disseminated first by the Grameen Foundation and later by Innovations for Poverty Action, it reduces poverty measurement to ten easy-to-answer, verifiable questions about household characteristics. The answers produce a score from 0 to 100, which a calibration table converts into the probability that the household falls below national or international poverty lines — a low-cost alternative to a full consumption survey for organizations that need to track the poverty profile of the people they serve. | The Multidimensional Poverty Index applies the Alkire-Foster method, introduced by Sabina Alkire and James Foster in 2011, to measure poverty as the joint deprivation of individuals across several dimensions such as health, education, and living standards. Its signature is a dual-cutoff identification: a person is deprived in an indicator if they fall below that indicator's cutoff, and they are counted as multidimensionally poor only if their weighted count of deprivations crosses a cross-dimensional cutoff k. The headline measure is the adjusted headcount ratio M0 = H times A, the product of the share of people who are poor (incidence) and the average breadth of their deprivations (intensity). |
| ScholarGateНабір даних ↗ |
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