Evidence map›Paper›PMID 36575701›Full record

ArticleEconomic modelling2023

Modelling pandemic risks for policy analysis and forecasting.

Elena Angelini, Milan Damjanović, Matthieu Darracq Pariès, Srečko Zimic

Abstract read
In one paragraph

Article in Economic modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elena AngeliniEuropean Central Bank, DGE Forecasting and Policy Modelling division, Germany.
Milan DamjanovićEuropean Central Bank, DGE Forecasting and Policy Modelling division, Germany.
Matthieu Darracq ParièsEuropean Central Bank, DGE Forecasting and Policy Modelling division, Germany.
Srečko ZimicEuropean Central Bank, DGE Forecasting and Policy Modelling division, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What were the economic effects of vaccination campaign, agents' adaptation to containment measures, and fiscal and monetary measures during the COVID-19 pandemic? To quantify these effects, we augment the ECB's macro-econometric model with an endogenous epidemiological block, providing one of the first institutional policy models with epidemiological elements. The model tracks closely actual pandemic developments by relying on detailed epidemiological data and by nesting a wide range of features, including vaccination campaigns, emergence of new variants and learning effects. Importantly, it includes an endogenous policy reaction function for containment measures, allowing counterfactual simulations. Our simulation results show that: (i) agents' adaptation to containment measures over time was key in reducing negative macroeconomic consequences of lockdowns, (ii) the vaccination campaign slowed down infection rates and hospitalizations, enabling a relaxation of containment measures and avoiding a sharp double dip in economic activity and (iii) complementary fiscal and monetary policy interventions provided support to the economy.

Indexed as

COVID-19ECB-BASEEpidemicModelling

Identifiers

PMID36575701
PMCPMC9780686

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.