Modeling the Internal Revenue Code in a heterogeneous-agent framework: An application to TCJA
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Cited by:
- Moore, Rachel & Pecoraro, Brandon, 2020.
"Macroeconomic implications of modeling the Internal Revenue Code in a heterogeneous-agent framework,"
Economic Modelling, Elsevier, vol. 87(C), pages 72-91.
- Moore, Rachel & Pecoraro, Brandon, 2018. "Macroeconomic Implications of Modeling the Internal Revenue Code in a Heterogeneous-Agent Framework," MPRA Paper 87240, University Library of Munich, Germany.
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More about this item
Keywords
dynamic scoring; tax policy modeling; heterogeneous agents;All these keywords.
JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
- H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-DGE-2019-04-15 (Dynamic General Equilibrium)
- NEP-MAC-2019-04-15 (Macroeconomics)
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