Evidence map›Paper›PMID 34565927›Full record

ArticleEastern economic journal2021

Do Governors Lead or Follow? Timing of Stay-at-Home Orders.

Bryan C McCannon

Open access · bronzeAbstract read
In one paragraph

Article in Eastern economic journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

Bryan C McCannonDepartment of Economics, West Virginia University, 1601 University Avenue, Morgantown, 26506 USA.
West Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

I investigate the timing of the Stay-at-Home orders. I use daily Google search data to track early interest in the novel Coronavirus pandemic. I ask whether governors responded to heightened concern (i.e., following) or if their decisions are independent of citizen sentiment (i.e., leading). I show that Stay-at-Home orders were initiated sooner in states that saw early, heightened in the virus. This suggests that governors follow voters' opinions, preferences, and sentiments. Exploring potential heterogeneous effects, there is not a difference in the size of this effect between Republican and Democrat governors, nor is there a difference between those up for re-election in 2020 and those not. I do find that governor responsiveness is related to the state's economic freedom and the governor's approval rating just before the pandemic. In a novel environment without precedence, governors in the USA set policy in accord with voter preferences.

Indexed as

CoronavirusGoogle TrendsGovernorResponsivenessStay-at-Home orders

Identifiers

PMID34565927
PMCPMC8453477
OpenAlexW3089408459

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.