Evidence map›Paper›PMID 40504218›Full record

ArticleOxford review of economic policy2020

Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective.

R Maria Del Rio-Chanona, Penny Mealy, Anton Pichler, François Lafond, J Doyne Farmer

Abstract read
In one paragraph

Article in Oxford review of economic policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 2 pooled it
–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

109 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Analysis of retail sector research evolution and trends during COVID-19.Technological forecasting and social change · 2023
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49 more citing papers are in PubMed but not listed here.

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

5 authors.

R Maria Del Rio-ChanonaInstitute for New Economic Thinking at the Oxford Martin School and Mathematical Institute, University of Oxford.
Penny MealyInstitute for New Economic Thinking at the Oxford Martin School, Smith School of Environment and Enterprise, and School of Geography and Environment, University of Oxford.
Anton PichlerInstitute for New Economic Thinking at the Oxford Martin School and Mathematical Institute, University of Oxford.
François LafondInstitute for New Economic Thinking at the Oxford Martin School and Mathematical Institute, University of Oxford.
J Doyne FarmerInstitute for New Economic Thinking at the Oxford Martin School and Mathematical Institute, University of Oxford.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We provide quantitative predictions of first-order supply and demand shocks for the US economy associated with the COVID-19 pandemic at the level of individual occupations and industries. To analyse the supply shock, we classify industries as essential or non-essential and construct a Remote Labour Index, which measures the ability of different occupations to work from home. Demand shocks are based on a study of the likely effect of a severe influenza epidemic developed by the US Congressional Budget Office. Compared to the pre-COVID period, these shocks would threaten around 20 per cent of the US economy's GDP, jeopardize 23 per cent of jobs, and reduce total wage income by 16 per cent. At the industry level, sectors such as transport are likely to be output-constrained by demand shocks, while sectors relating to manufacturing, mining, and services are more likely to be constrained by supply shocks. Entertainment, restaurants, and tourism face large supply and demand shocks. At the occupation level, we show that high-wage occupations are relatively immune from adverse supply- and demand-side shocks, while low-wage occupations are much more vulnerable. We should emphasize that our results are only first-order shocks-we expect them to be substantially amplified by feedback effects in the production network.

Indexed as

COVID-19economic growthshocksunemployment

Identifiers

PMID40504218
PMCPMC7499761

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.