Evidence map›Paper›PMID 36060547›Full record

ArticleFinance research letters2022

Online prices and inflation during the nationwide COVID-19 quarantine period: Evidence from 107 Chinese websites.

Tingfeng Jiang, Taoxiong Liu, Ke Tang, Jiaqing Zeng

Open access · greenAbstract read
In one paragraph

Article in Finance research letters, 2022. 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
4.1field-weighted citation impact, top 6% 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

0 citing papers in PubMed, 16 citations in OpenAlex.

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 at 2 institutions in 1 country.

Tingfeng JiangSchool of Banking & Finance, University of International Business and Economics, China.
Taoxiong LiuSchool of Social Science, Tsinghua University, China.
Ke TangSchool of Social Science, Tsinghua University, China.
Jiaqing ZengSchool of Social Science, Tsinghua University, China.
Tsinghua University · CNUniversity of International Business and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the lack of activity in China's offline economy during the COVID-19 quarantine period, online prices provide new insights for analyzing the impacts of the pandemic on the economy. Using online prices from 107 websites in China and the DiD method to remove the Spring Festival effect, we show that the pandemic leads to a 0.4% surge in the overall inflation rate, a 20% decrease in the price change probability, and a 1% decline in the size of absolute price changes. Moreover, the pandemic had heterogeneous impacts on different sectors, leading to significant structural changes in inflation. Specifically, the pandemic hindered the price correction behavior after Spring Festival, and whether products could be consumed while customers stayed at home was an important factor affecting price adjustment and inflation dynamics.

Indexed as

COVID-19 pandemicInflationOnline pricesPrice stickinessStay-at-home economy

Identifiers

PMID36060547
PMCPMC9417148
OpenAlexW4286249766

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.