224. Optimal Taxation for an Emerging Economy: Social Welfare Implications from Machine Learning
Invited abstract in session Integrated OR Methods for Sustainable Societal Development, stream OR for Development.
Authors (first author is the speaker)
| 1. | Clara Pardo
|
| School of Administration, Universidad del Rosario |
Abstract
Optimal taxation is a fundamental policy and strategy for countries to promote economic growth and job creation as efficient, transparent, and fair tax systems support business expansion, encourage formalization, and generate revenue for public investment. In this context, this study seeks to use machine learning techniques to analyse the implications of the tax system, inflation, aggregate production, and minimum wage as relevant macroeconomic variables within a model of the government's idiosyncratic preferences while considering the social welfare implications and relationships with others.
Keywords
- Economic Modeling
- Machine Learning
- Sustainable Development
Status: accepted
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