Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Poverty Dynamics Analysis× | Multidimensional Poverty Index× | |
|---|---|---|
| Fagfelt≠ | Development Studies | Samfunnsøkonomi |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 1998 | 2011 |
| Opphavsperson≠ | Jyotsna Jalan & Martin Ravallion; Bob Baulch & John Hoddinott | Sabina Alkire & James Foster |
| Type≠ | Panel-data analysis of poverty over time | Counting-based multidimensional poverty measure |
| Opprinnelig kilde≠ | Jalan, J., & Ravallion, M. (1998). Transient Poverty in Postreform Rural China. Journal of Comparative Economics, 26(2), 338–357. DOI ↗ | Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487. DOI ↗ |
| Alias | Poverty Transitions Analysis, Chronic and Transient Poverty Analysis, Poverty Spells Analysis, Poverty Mobility Analysis | MPI, Alkire-Foster Method, Adjusted Headcount Ratio, Dual-Cutoff Multidimensional Poverty |
| Relaterte≠ | 4 | 3 |
| Sammendrag≠ | Poverty Dynamics Analysis uses household panel data to study how poverty changes over time for the same people, distinguishing those who are persistently poor from those who move in and out of poverty. Building on the work of Jyotsna Jalan and Martin Ravallion (1998) and the comparative synthesis of Bob Baulch and John Hoddinott (2000), it reframes poverty from a static headcount into a study of entries, exits, and spells. Its central output is a separation of total poverty into a chronic component, attributable to persistently low living standards, and a transient component, attributable to fluctuations around the poverty line over time. | 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). |
| ScholarGateDatasett ↗ |
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