How Effective are Pictorial Warnings on Tobacco Products? New Evidence on Smoking Behaviour Using Australian Panel Data

53 Pages Posted: 25 Jun 2019 Last revised: 6 May 2025

See all articles by Daniel Kühnle

Daniel Kühnle

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg

Abstract

Studies examining the introduction of pictorial warnings on cigarette packages provide inconclusive evidence due to small samples and methodological issues. We use individual-level panel data from Australia to examine the association between pictorial warnings and smoking behaviour - prevalence, quitting, initiating and relapsing. The pictorial warnings were accompanied by a reference to a smoking cessation helpline and supportive television commercials. Applying an event study framework, we show that the reform reduced smoking rates by around 4% within the first year of the policy. The effect decreases with age, is similar for men and women, and is slightly larger for low-educated compared to high-educated individuals. The reform permanently lowered smoking rates primarily due to increased quitting in the year of the reform. Thus, pictorial warnings combined with a reference to a smoking cessation helpline and supportive media campaigns are an important tobacco control measure to reduce the social costs of smoking.

Keywords: smoking relapse, smoking initiation, cessation, smoking, pictorial warnings

JEL Classification: I12, I14, I18

Suggested Citation

Kühnle, Daniel, How Effective are Pictorial Warnings on Tobacco Products? New Evidence on Smoking Behaviour Using Australian Panel Data. IZA Discussion Paper No. 12400, Available at SSRN: https://ssrn.com/abstract=3408298

Daniel Kühnle (Contact Author)

University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg ( email )

Fachbereich Rechtswissenschaft
Schillerstr. 1
Erlangen, DE 91054
Germany

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
112
Abstract Views
745
Rank
640,165
PlumX Metrics