Сравнение методов

	Poverty Dynamics Analysis	Asset Poverty Trap Analysis
Область	Development Studies	Development Studies
Семейство	Process / pipeline	Process / pipeline
Год появления	1998	2006
Автор метода	Jyotsna Jalan & Martin Ravallion; Bob Baulch & John Hoddinott	Michael R. Carter & Christopher B. Barrett
Тип	Panel-data analysis of poverty over time	Panel-data test for nonlinear asset dynamics and poverty traps
Основополагающий источник	Jalan, J., & Ravallion, M. (1998). Transient Poverty in Postreform Rural China. Journal of Comparative Economics, 26(2), 338–357.	Carter, M. R., & Barrett, C. B. (2006). The economics of poverty traps and persistent poverty: An asset-based approach. Journal of Development Studies, 42(2), 178–199.
Другие названия	Poverty Transitions Analysis, Chronic and Transient Poverty Analysis, Poverty Spells Analysis, Poverty Mobility Analysis	Poverty Trap Analysis, Asset Dynamics Analysis, Micawber Threshold Estimation, Dynamic Asset Poverty Analysis
Связанные	4	4
Сводка	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.	Asset Poverty Trap Analysis tests whether households face nonlinear asset dynamics that can trap them in persistent poverty, using panel data on what households own rather than on what they earn. Developed by Michael Carter and Christopher Barrett (2006), the approach estimates the asset recursion — how a household's asset stock this period maps into its stock next period — and looks for multiple equilibria. When that mapping is S-shaped, there is an unstable equilibrium, the Micawber threshold, below which households converge toward a low-asset trap and above which they accumulate toward a higher equilibrium. This yields a dynamic asset poverty line and a structural reading of who is poor and likely to stay poor.