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Taxation under Learning by Doing

Bibliographic Data

ID10177124
AuthorsMiltiadis Makris (0000-0001-7622-7939, University of Kent), Alessandro Pavan (0000-0002-6577-8919)
Year2021
Volume129
Issue6
Pages1878-1944
Publication date2021-01-27
Open AccessNo
TypeARTICLE
VenueJournal of Political Economy (JOURNAL)
Journal identifiersISSN: 0022-3808 • E-ISSN: 1537-534X
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/713745
OpenAlexW3120204511
LanguageEN
Citations received1
References cited37

We study optimal income taxation when workers’ productivity is stochastic and evolves endogenously because of learning-by-doing. Learning-by-doing calls for higher wedges, and alters the relation between wedges and tax rates. In a calibrated model, we find that reforming the US tax code brings significant welfare gains and that a simple tax code invariant to past incomes is approximately optimal. We isolate the role of learning-by-doing by comparing the aforementioned tax code to its counterpart in an economy that is identical to the calibrated one except for the exogeneity of the productivity process. Ignoring learning-by-doing calls for fundamentally different proposals

Code (set theory · Econometrics · Economics · Endogeneity · Learning effect · Learning-by-doing · Macroeconomics · Market economy · Microeconomics · Production (economics · Productivity · Public economics · Simple (philosophy · Welfare · Computer Science · Fiscal Policy and Economic Growth · Gender, Labor, and Family Dynamics · Politics, Economics, and Education Policy

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Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

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