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

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.

[1]  David Pelletier,et al.  Measuring Life Course Complexity with Dynamic Sequence Analysis , 2020, Social Indicators Research.

[2]  Aaron Roth,et al.  Equal Opportunity in Online Classification with Partial Feedback , 2019, NeurIPS.

[3]  Nathan R. Johnson,et al.  Precarious Data: Affect, Infrastructure, and Public Education , 2020 .

[4]  S. Preston,et al.  The changing relation between mortality and level of economic development. , 2003, Population studies.

[5]  The Color of Money: Black Banks and the Racial Wealth Gap (2017) , 2017, Racism in America.

[6]  K. Kenny Frames of war: when is life grievable? , 2010 .

[7]  Suresh Venkatasubramanian,et al.  Fairness in representation: quantifying stereotyping as a representational harm , 2019, SDM.

[8]  Esther Rolf,et al.  Delayed Impact of Fair Machine Learning , 2018, ICML.

[9]  S. Ruggles Integrated Public Use Microdata Series , 2021, Encyclopedia of Gerontology and Population Aging.

[10]  John Stachurski,et al.  An Impossibility Theorem for Wealth in Heterogeneous-agent Models without Financial Risk , 2018 .

[11]  S. Matthew Weinberg,et al.  Subsidy Allocations in the Presence of Income Shocks , 2020, AAAI.

[12]  Adam Tauman Kalai,et al.  The disparate equilibria of algorithmic decision making when individuals invest rationally , 2019, FAT*.

[13]  Patrick Loiseau,et al.  The Price of Local Fairness in Multistage Selection , 2019, IJCAI.

[14]  Francine D. Blau,et al.  The Gender Wage Gap: Extent, Trends, and Explanations , 2016, SSRN Electronic Journal.

[15]  Haipeng Luo,et al.  Fair Contextual Multi-Armed Bandits: Theory and Experiments , 2019, UAI.

[16]  W. D. Haan Comparison of Solutions to the Incomplete Markets Model with Aggregate Uncertainty , 2008 .

[17]  Wolfgang Ziegler,et al.  Recursive Methods In Economic Dynamics , 2016 .

[18]  J. Butler Frames of War: When Is Life Grievable? , 2009 .

[19]  C. Zwerling,et al.  Race and Job Dismissals in a Federal Bureaucracy , 1992 .

[20]  Seth Neel,et al.  Meritocratic Fairness for Infinite and Contextual Bandits , 2018, AIES.

[21]  Percy Liang,et al.  Fairness Without Demographics in Repeated Loss Minimization , 2018, ICML.

[22]  Mingyan Liu,et al.  Fairness in Learning-Based Sequential Decision Algorithms: A Survey , 2020, Handbook of Reinforcement Learning and Control.

[23]  M. Mills,et al.  Disability, Bias, and AI , 2019 .

[24]  Adish Singla,et al.  Enhancing the Accuracy and Fairness of Human Decision Making , 2018, NeurIPS.

[25]  Angus Deaton,et al.  Health, Inequality, and Economic Development , 2001 .

[26]  Lesley Gill A Century of Violence in a Red City: Popular Struggle, Counterinsurgency, and Human Rights in Colombia , 2016 .

[27]  M. Nau,et al.  Income precarity and the financial crisis , 2019 .

[28]  John Stachurski,et al.  The income fluctuation problem and the evolution of wealth , 2019, J. Econ. Theory.

[29]  Alexander D'Amour,et al.  Fairness is not static: deeper understanding of long term fairness via simulation studies , 2020, FAT*.

[30]  Sampath Kannan,et al.  Downstream Effects of Affirmative Action , 2018, FAT.

[31]  Cynthia Dwork,et al.  Fairness Under Composition , 2018, ITCS.

[32]  Ted O’Donoghue,et al.  Modeling Risk Aversion in Economics , 2018 .

[33]  Krishna P. Gummadi,et al.  On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning , 2019, ICML.

[34]  Thomas J. Sargent,et al.  Quantitative Economics , 1938, Nature.

[35]  Vijay Kamble,et al.  Individual Fairness in Hindsight , 2018, EC.

[36]  M. Kuhn Recursive Equilibria in an Aiyagari‐Style Economy with Permanent Income Shocks , 2013 .

[37]  Aaron Roth,et al.  Fairness in Reinforcement Learning , 2016, ICML.

[38]  Yiling Chen,et al.  A Short-term Intervention for Long-term Fairness in the Labor Market , 2017, WWW.

[39]  David C. Parkes,et al.  The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies , 2020, ArXiv.

[40]  Jia Liu,et al.  Combinatorial Sleeping Bandits with Fairness Constraints , 2019, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.

[41]  J. Butler,et al.  Precarity Talk: A Virtual Roundtable with Lauren Berlant, Judith Butler, Bojana Cvejić, Isabell Lorey, Jasbir Puar, and Ana Vujanović , 2012, TDR/The Drama Review.

[42]  Jack Schechtman,et al.  Some results on “an income fluctuation problem” , 1977 .

[43]  A. Deaton Saving and Liquidity Constraints , 1989 .

[44]  P. Wakker Explaining the characteristics of the power (CRRA) utility family. , 2008, Health economics.

[45]  Laura Dales Precarious Japan , 2015 .

[46]  Christopher Jung,et al.  Online Learning with an Unknown Fairness Metric , 2018, NeurIPS.

[47]  When do borrowing constraints bind? Some new results on the income fluctuation problem , 2002 .

[48]  José Taberner Guasp The Precariat. The New Dangerous Class , 2014 .

[49]  David R. Williams,et al.  Racial/ethnic disparities in hypertension prevalence: reconsidering the role of chronic stress. , 2014, American journal of public health.

[50]  Y. Narahari,et al.  Achieving Fairness in the Stochastic Multi-armed Bandit Problem , 2019, AAAI.

[51]  Aaron Roth,et al.  Fairness in Learning: Classic and Contextual Bandits , 2016, NIPS.

[52]  Ufuk Topcu,et al.  Fairness with Dynamics , 2019, ArXiv.

[53]  Andreas Krause,et al.  Preventing Disparate Treatment in Sequential Decision Making , 2018, IJCAI.

[54]  Abhay P. Aneja,et al.  No Credit For Time Served? Incarceration and Credit-Driven Crime Cycles∗ , 2019 .

[55]  J. Butler Precarious Life: The Powers of Mourning and Violence , 2004 .

[56]  Nathan Srebro,et al.  From Fair Decision Making To Social Equality , 2018, FAT.

[57]  G. D. Peuter Creative Economy and Labor Precarity: A Contested Convergence , 2011 .

[58]  Suresh Venkatasubramanian,et al.  Equalizing Recourse across Groups , 2019, ArXiv.

[59]  M. Reiter Solving Heterogeneous-Agent Models by Projection and Perturbation , 2006 .

[60]  T. Sargent,et al.  Recursive Macroeconomic Theory , 2000 .

[61]  G. Ritschard,et al.  An Index of Precarity for Measuring Early Employment Insecurity , 2018 .

[62]  Guy N. Rothblum,et al.  Calibration for the (Computationally-Identifiable) Masses , 2017, ArXiv.

[63]  E. Doorslaer,et al.  Income inequality and health: what does the literature tell us? , 2000, Annual review of public health.

[64]  Nancy Worth Making sense of precarity: talking about economic insecurity with millennials in Canada , 2018, Languages of Economic Crises.

[65]  Jess Benhabib,et al.  The wealth distribution in Bewley economies with capital income risk , 2015, J. Econ. Theory.