Can Poverty Be Reduced by Acting on Discrimination? An Agent-based Model for Policy Making
Alba Aguilera, Nieves Montes, Georgina Curto, Carles Sierra, Nardine Osman

TL;DR
This paper introduces a novel agent-based model to explore how discrimination against the poor, termed aporophobia, influences wealth inequality and poverty reduction, emphasizing the importance of addressing societal biases in policy design.
Contribution
The paper presents the first computational model linking aporophobia to poverty, using real data to evaluate the impact of discriminatory policies on wealth inequality.
Findings
Discriminatory policies increase wealth inequality in simulations.
Non-discriminatory policies reduce wealth inequality.
Addressing aporophobia can improve poverty mitigation outcomes.
Abstract
In the last decades, there has been a deceleration in the rates of poverty reduction, suggesting that traditional redistributive approaches to poverty mitigation could be losing effectiveness, and alternative insights to advance the number one UN Sustainable Development Goal are required. The criminalization of poor people has been denounced by several NGOs, and an increasing number of voices suggest that discrimination against the poor (a phenomenon known as \emph{aporophobia}) could be an impediment to mitigating poverty. In this paper, we present the novel Aporophobia Agent-Based Model (AABM) to provide evidence of the correlation between aporophobia and poverty computationally. We present our use case built with real-world demographic data and poverty-mitigation public policies (either enforced or under parliamentary discussion) for the city of Barcelona. We classify policies as…
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Taxonomy
TopicsIncome, Poverty, and Inequality · Economic theories and models
