Evidence map›Paper›PMID 37328180›Full record

ArticleBMJ open2023

Cross-country and panel data estimates of the price elasticity of demand for cigarettes in Europe.

Andreas Kohler, Linda Vinci, Renato Mattli

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 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
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 1 country.

Andreas KohlerWinterthur Institute of Health Economics, Zurich University of Applied Sciences, Winterthur, Switzerland andreas.kohler@zhaw.ch.ORCID 0000-0003-2756-8512
Linda VinciWinterthur Institute of Health Economics, Zurich University of Applied Sciences, Winterthur, Switzerland.ORCID 0000-0002-1463-5061
Renato MattliSchool of Health Professions, Berner Fachhochschule, Bern, Switzerland.
Bern University of Applied Sciences · CHZHAW Zurich University of Applied Sciences · CHZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur goal is to provide estimates of the price elasticity of demand for cigarettes in Europe as a basis for public health policy on tobacco taxation.

methodsWe use secondary data on cigarette retail sales including illicit trade, prices, tobacco control measures and income from 2010 to 2020 of 27 European countries from Euromonitor, the WHO, the Tobacco Control Scale and the World Bank. We estimate the price elasticity of demand using instrumental variable regressions as well as panel data regressions taking into account that prices and quantities are determined simultaneously in the market.

resultsBased on cross-section data at the country level, we find that during the decade from 2010 to 2020, the demand for cigarettes in Europe has become neither more nor less elastic. Our estimates of the price elasticity based on panel data are around -0.4 (95% CI -0.67 to -0.24), in line with previous estimates for high-income countries. Furthermore, our analysis shows that estimates of the price elasticity of demand that are based on data including illicit trade tend to be lower. This has also been found in the previous literature.

conclusionsBy providing state-of-the-art, up-to-date estimates of the price elasticity of demand that are in line with the previous literature, we show that taxation can still be a cost-effective tobacco policy to reduce cigarette consumption and thus, the burden of smoking.

Indexed as

Tobacco ProductsCommerceEuropeHumansSmokingTaxesHealth economicsHEALTH ECONOMICSHealth policy

Identifiers

PMID37328180
PMCPMC10277038
OpenAlexW4380992284

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.