Evidence map›Paper›PMID 40477162›Full record

ArticleQuantitative marketing and economics2021

The impact of social distancing on box-office revenue: Evidence from the COVID-19 pandemic.

In Kyung Kim

Abstract read
In one paragraph

Article in Quantitative marketing and economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

In Kyung KimDepartment of Economics, Nazarbayev University, Astana,, 010000 Kazakhstan.ORCID 0000-0003-4198-0888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, I study the short-run effect of social distancing due to the COVID-19 outbreak on movie demand and box-office revenue. Using longitudinal data on the Korean movie theater industry, I first estimate a nested logit model of movie demand, and then quantify the revenue loss in the industry. Estimation results reveal that the revenue loss due to the decrease in underlying movie demand is approximately 52 million dollars nationwide during the first five weeks after the outbreak, implying a 34 percent decrease in sales. The results also suggest an additional 42 million dollars were lost as the delay of some major movies lowered the overall quality of available movies in the market.

Indexed as

COVID-19Movie theater industryNested logit modelSocial distancing

Identifiers

PMID40477162
PMCPMC7575864

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.