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Data · dataset · 2018

Computational Codes for Optimal Ramsey Taxation with Endogenous Risk Aversion

Listed in Teesside University Research Data Repository

In this data article, we provide computational codes to solve for optimal Ramsey taxation with conventional and endogenous risk aversion formulations under neoclassical growth model environments, as proposed by Ateşağaoğlu and Torul (2018).

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Specifically, we provide Dynare codes both for the primal and the dual approach Ramsey solutions, and we do so for two different parameter sets featuring either convex or linear disutility preferences over labor supply.

Reference Ateşağaoğlu, OE., and Torul O. Optimal Ramsey taxation with endogenous risk aversion, Economics Letters, in press

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