Implementing Optimal Taxation: A Constrained Optimization Framework for Tax Reform
Mark Verhagen, Menno Schellekens, Michael Garstka

TL;DR
This paper introduces a flexible, computationally tractable framework for designing optimal tax reforms that incorporate practical constraints, enabling more realistic and implementable tax policy optimization.
Contribution
It develops a constrained optimization approach parametrizing the entire income tax code, allowing for practical constraints and objectives to be integrated into tax reform design.
Findings
Framework successfully models complex tax codes
Can impose constraints like revenue neutrality and fairness
Applied to reconstruct Dutch tax system
Abstract
While optimal taxation theory provides clear prescriptions for tax design, translating these insights into actual tax codes remains difficult. Existing work largely offers theoretical characterizations of optimal systems, while practical implementation methods are scarce. Bridging this gap involves designing tax rules that meet theoretical goals, while accommodating administrative, distributional, and other practical constraints that arise in real-world reform. We develop a method casting tax reform as a constrained optimization problem by parametrizing the entire income tax code as a set of piecewise linear functions mapping tax-relevant inputs into liabilities and marginal rates. This allows users to impose constraints on marginal rate schedules, limits on income swings, and objectives like revenue neutrality, efficiency, simplicity, or distributional fairness that reflect both…
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Taxonomy
TopicsFiscal Policy and Economic Growth · Gender, Labor, and Family Dynamics
