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Title: PRECARITY: MODELING THE LONG TERM EFFECTS OF COMPOUNDED DECISIONS ON INDIVIDUAL INSTABILITY

Citation Type: Miscellaneous

Publication Year: 2021

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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.

Url: https://arxiv.org/pdf/2104.12037.pdf

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Authors: Nokhiz, Pegah; Ruwanpathirana, Aravinda Kanchana; Patwari, Neal; Venkatasubramanian, Suresh

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Data Collections: IPUMS CPS

Topics: Methodology and Data Collection, Population Data Science

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