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The Coronavirus Stimulus Package

How Large is the Transfer Multiplier

Bibliographic Data

ID9713705
AuthorsChristian Bayer (0000-0001-6369-6787, University of Bonn, CEPR, CESifo and IZA , Germany), Benjamin Born (0000-0003-1617-8025, Frankfurt School of Finance & Management), Ralph Luetticke (University of Tübingen, CEPR and CFM , Germany), Gernot J Müller (University of Tübingen, CEPR and CESifo , Germany)
Year2023
Volume133
Issue652
Pages1318-1347
Publication date2023-04-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/ej/uead003
OpenAlexW3034162068
LanguageEN
Citations received10
References cited45

In response to the COVID-19 pandemic, large parts of the economy were locked down and, as a result, households’ income risk rose sharply. At the same time, policy makers put forward the largest stimulus package in history. In the United States it amounted to $2 trillion, a quarter of which represented transfer payments to households. To the extent that such transfers were (i) announced in advance and (ii) conditional on recipients being unemployed, they mitigated income risk associated with the lockdown—in contrast to unconditional transfers. We develop a baseline scenario for a COVID-19 recession in a medium-scale heterogeneous agent new Keynesian model and use counterfactuals to quantify the impact of transfers. For the short run, we find large differences in the transfer multiplier: it is negligible for unconditional transfers and about unity for conditional transfers. Overall, we find that the transfers reduced the output loss due to the pandemic by some two percentage points at its trough

Coronavirus disease 2019 (COVID-19 · Demographic economics · Econometrics · Economics · Ex-ante · Geography · Macroeconomics · Monetary economics · Multiplier (economics · Pandemic · Payment · Quarter (Canadian coin · Stimulus (psychology · Transfer payment · Welfare · COVID-19 Pandemic Impacts · Finance · Medicine

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Unique citing works10
Citations per year1,67
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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