2018
DOI: 10.2139/ssrn.3193142
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Macroeconomic Implications of Modeling the Internal Revenue Code in a Heterogeneous-Agent Framework

Abstract: Fiscal policy analysis in heterogeneous-agent models typically involves the use of smooth tax functions to approximate present tax law and proposed reforms. We argue that the tax detail omitted under this conventional approach has macroeconomic implications relevant for policy analysis. In this paper, we develop an alternative approach by embedding an internal tax calculator into a large-scale overlapping generations model that explicitly models key provisions in the Internal Revenue Code applied to labor inco… Show more

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Cited by 4 publications
(17 citation statements)
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“…7. The possibility of sovereign debt default has been ruled out by assumption in the overlapping generations model of Moore and Pecoraro (2020). See Evans, Kotlikoff, and Phillips (2013) for incorporating sovereign debt default as an alternative long-run state to fiscal sustainability.…”
Section: Resultsmentioning
confidence: 99%
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“…7. The possibility of sovereign debt default has been ruled out by assumption in the overlapping generations model of Moore and Pecoraro (2020). See Evans, Kotlikoff, and Phillips (2013) for incorporating sovereign debt default as an alternative long-run state to fiscal sustainability.…”
Section: Resultsmentioning
confidence: 99%
“…The MP-OLG model is a large-scale overlapping generations model developed specifically for the macroeconomic analysis of tax policy proposals. Since the modeling framework, calibration, and solution algorithm used for the analysis in this article is completely specified in Moore and Pecoraro (2020), details are omitted here for brevity. The core characteristics of the MP-OLG model are common to general equilibrium models of this class, such as those in Nelson et al (2019): finitely lived cohorts of households make labor supply, saving, and consumption choices, discounting utility generated by future choices relative to current choices.…”
Section: Model and Policy Experimentsmentioning
confidence: 99%
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