Evidence map›Paper›PMID 36718257›Full record

ArticleQuantitative economics2022

Income dynamics in the United Kingdom and the impact of the Covid-19 recession.

Brian Bell, Nicholas Bloom, Jack Blundell

Open access · diamondAbstract read
In one paragraph

Article in Quantitative economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Article
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

3 authors at 3 institutions in 2 countries.

Brian BellKing's Business School and Centre for Economic Performance London School of Economics.
Nicholas BloomDepartment of Economics Stanford University.
Jack BlundellCentre for Economic Performance London School of Economics.
London School of Economics and Political Science · GBStanford University · USThe King's College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we use an employer-based survey of earnings and hours to set out the key patterns in UK earnings dynamics from 1975 to 2020, with a particular focus on the most recent recession. We demonstrate that (log) earnings changes exhibit strongly procyclical skewness and have become increasingly leptokurtic, and thus less well approximated by a log-normal distribution, over the period of study. This holds across genders and sectors. Exploiting the long duration of our panel, we then explore the responsiveness of earnings and hours to aggregate and firm-level shocks, finding ample heterogeneity in the exposure of different types of workers to aggregate shocks. Exposure is falling in age, firm size, skill level, and permanent earnings, and is lower for unionized and public sector workers. The qualitative patterns of earnings changes across workers observed in the Covid-19 recession of 2020 are broadly as predicted using the previously estimated exposures and size of the shock. Firm-specific shocks are important for wages given the variation in within-firm productivity and the patterns of heterogeneity are markedly different than for aggregate shocks.

Indexed as

Income DynamicsInequalityJ01J30Wage Shocks

Identifiers

PMID36718257
PMCPMC9877856
OpenAlexW4312276686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.