Evidence map›Paper›PMID 33262548›Full record

ArticleJournal of public economics2021

Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020.

Austan Goolsbee, Chad Syverson

Open access · greenAbstract read
In one paragraph

Article in Journal of public economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 1 pooled it
175.7field-weighted citation impact, top 1% 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

193 citing papers in PubMed, 1 synthesis or guideline pooled it, 745 citations in OpenAlex.

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133 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

2 authors at 1 institution in 1 country.

Austan GoolsbeeUniversity of Chicago Booth School of Business, United States.
Chad SyversonUniversity of Chicago Booth School of Business, United States.
University of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The collapse of economic activity in 2020 from COVID-19 has been immense. An important question is how much of that collapse resulted from government-imposed restrictions versus people voluntarily choosing to stay home to avoid infection. This paper examines the drivers of the economic slowdown using cellular phone records data on customer visits to more than 2.25 million individual businesses across 110 different industries. Comparing consumer behavior over the crisis within the same commuting zones but across state and county boundaries with different policy regimes suggests that legal shutdown orders account for only a modest share of the massive changes to consumer behavior (and that tracking county-level policy conditions is significantly more accurate than using state-level policies alone). While overall consumer traffic fell by 60 percentage points, legal restrictions explain only 7 percentage points of this. Individual choices were far more important and seem tied to fears of infection. Traffic started dropping before the legal orders were in place; was highly influenced by the number of COVID deaths reported in the county; and showed a clear shift by consumers away from busier, more crowded stores toward smaller, less busy stores in the same industry. States that repealed their shutdown orders saw symmetric, modest recoveries in consumer visits, further supporting the small estimated effect of policy. Although the shutdown orders had little aggregate impact, they did have a significant effect in reallocating consumer visits away from "nonessential" to "essential" businesses and from restaurants and bars toward groceries and other food sellers.

Indexed as

BordersConsumer activityCOVIDEconomic activityEssential businessLockdownPandemicSheltering ordersShelter in placeShutdownStates

Identifiers

PMID33262548
PMCPMC7687454
OpenAlexW3037490325

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.