The impact of COVID-19 on airlines' price curves.

Chiara Morlotti, Renato Redondi

Abstract read

In one paragraph

Article in Journal of air transport management, 2023. 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

–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

1 citing paper in PubMed.

Airline performance measurement using bias-corrected network data envelopment analysis estimates: Evidence from a turbulent era.Heliyon · 2024
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

2 authors.

Chiara MorlottiDepartment of Management Information and Production Engineering, University of Bergamo, Italy.

Renato RedondiDepartment of Management Information and Production Engineering, University of Bergamo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has had a major negative impact on the travel industry, especially on the aviation sector. Along with travel restrictions to contain the spread of the virus, a drastic drop in demand-mainly caused by the decrease in the willingness to travel-has also been registered. This study explores the impact of COVID-19 on airline pricing curves, in terms of the price level, price dispersion, and the extent to which intertemporal price discrimination is applied. By analyzing all major European flights departing from and arriving in Italy, the results reveal a 31% overall decrease in airline price per kilometer. Additionally, price dispersion dropped, and price discrimination intensity was found to have decreased as a result of COVID-19. These outcomes can be explained in light of two major impacts of the pandemic on air travel demand, namely the variation in the passenger mix and travelers' higher price sensitivity. Further analyses indicate that-along with other market and flight characteristics-market concentration, introduced interventions to prevent and control COVID-19, and airline- and destination-types play an important role in determining prices, price dispersion, and the price discrimination intensity.

Indexed as

Passenger mixPrice discriminationPrice dispersionPricing strategiesRevenues

Identifiers

PMID36415849

DOI10.1016/j.jairtraman.2022.102328

PMCPMC9671796

What OpenQuestion holds

Textmetadata

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Registered trials

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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.