Long Term Dynamics of Poverty Transitions in India

A. Sahasranaman
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引用次数: 3

Abstract

We model the dynamics of poverty using a stochastic model of Geometric Brownian Motion with reallocation (RGBM) and explore both transient and persistent poverty over 1952-2006. We find that annual transitions in and out of poverty are common and show a rising trend, with the rise largely being driven by transitions out of poverty. Despite this promising trend, even toward the end of the time frame, there is a non-trivial proportion of individuals still transitioning annually into poverty, indicative of the economic fragility of those near the poverty line. We also find that there is still a marked persistence of poverty over time, though the probability of poverty persistence is slowly declining. Particularly concerning in this context are the poverty trajectories of those at the very bottom of the income distribution. The choice of poverty line appears to impact the dynamics, with higher poverty lines corresponding to lower transitions and higher persistence probabilities. The distinct nature of emergent transient and persistence dynamics suggests that the approaches to counter these phenomena need to be different, possibly incorporating both missing financial markets and state action.
印度贫困转型的长期动态
本文采用几何布朗运动再分配(RGBM)随机模型对贫困动态进行建模,并探讨了1952-2006年间的短暂贫困和持续贫困。我们发现,每年脱贫和脱贫的转变很常见,并呈上升趋势,而这种上升主要是由脱贫推动的。尽管出现了这一令人鼓舞的趋势,但即使在时间框架即将结束时,仍有相当一部分人每年都在过渡到贫困状态,这表明那些接近贫困线的人的经济脆弱性。我们还发现,随着时间的推移,贫困仍会持续存在,尽管贫困持续存在的可能性正在缓慢下降。在这方面特别令人关切的是处于收入分配最底层的人的贫穷轨迹。贫困线的选择似乎会影响动态,较高的贫困线对应较低的过渡和较高的持续可能性。紧急瞬态和持续动态的不同性质表明,应对这些现象的方法需要有所不同,可能需要将缺失的金融市场和国家行动结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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