Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, S. Venkatasubramanian
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引用次数: 6

Abstract

When it comes to studying the impacts of decision making, the research has been largely focused on examining the fairness of the decisions, the long-term effects of the decision pipelines, and utility-based perspectives considering both the decision-maker and the individuals. However, there has hardly been any focus on precarity which is the term that encapsulates the instability in people's lives. That is, a negative outcome can overspread to other decisions and measures of well-being. Studying precarity necessitates a shift in focus -- from the point of view of the decision-maker to the perspective of the decision subject. This centering of the subject is an important direction that unlocks the importance of parting with aggregate measures to examine the long-term effects of decision making. To address this issue, in this paper, we propose a modeling framework that simulates the effects of compounded decision-making on precarity over time. Through our simulations, we are able to show the heterogeneity of precarity by the non-uniform ruinous aftereffects of negative decisions on different income classes of the underlying population and how policy interventions can help mitigate such effects.
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不稳定性:模拟复合决策对个体不稳定性的长期影响
在研究决策的影响时,研究主要集中在检查决策的公平性,决策管道的长期影响,以及考虑决策者和个人的基于效用的视角。然而,几乎没有人关注不稳定,不稳定这个词概括了人们生活中的不稳定。也就是说,负面的结果可能会蔓延到其他决策和福祉的衡量标准。研究不稳定性需要将焦点从决策者的角度转移到决策主体的角度。这个主题的中心是一个重要的方向,它揭示了与总体措施分离的重要性,以检查决策的长期影响。为了解决这一问题,在本文中,我们提出了一个建模框架,模拟复合决策对不稳定性的影响。通过我们的模拟,我们能够通过负面决策对潜在人群的不同收入阶层的不均匀破坏性后果以及政策干预如何帮助减轻这种影响来显示不稳定性的异质性。
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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