{"title":"Progressive Income Tax and Its Emerging Growth Effects: A Complex System Approach","authors":"Emiliano Alvarez;Marcelo Álvez;Juan Gabriel Brida","doi":"10.1109/TCSS.2024.3418625","DOIUrl":null,"url":null,"abstract":"In this article, we apply an agent-based stock-flow consistent model (AB-SFC) to analyze economic growth differences when establishing different types of taxes on personal income: proportional and progressive. We use an income tax design that distinguishes between two sections of income. We contribute to the prominent literature on macro agent-based models by providing an unexplored feature in the income tax scheme. Our main findings are that this tax design seems to offset the inequality through tax exemption for low-income households but seems to have a limited impact on inequality generated between middle and high-income households. Notably, we did not find evidence of a deterioration in economic growth in the presence of a progressive income tax instead of a proportional one. Therefore, this article proposes a scenario where changing the tax scheme reduces inequality without hampering growth. This result has important implications for policy.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":"11 5","pages":"6605-6622"},"PeriodicalIF":4.5000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10601648/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, we apply an agent-based stock-flow consistent model (AB-SFC) to analyze economic growth differences when establishing different types of taxes on personal income: proportional and progressive. We use an income tax design that distinguishes between two sections of income. We contribute to the prominent literature on macro agent-based models by providing an unexplored feature in the income tax scheme. Our main findings are that this tax design seems to offset the inequality through tax exemption for low-income households but seems to have a limited impact on inequality generated between middle and high-income households. Notably, we did not find evidence of a deterioration in economic growth in the presence of a progressive income tax instead of a proportional one. Therefore, this article proposes a scenario where changing the tax scheme reduces inequality without hampering growth. This result has important implications for policy.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.