The scale of COVID-19 graphs affects understanding, attitudes, and policy preferences

Romano, Alessandro, Sotis, Chiara ORCID: 0000-0001-9367-0932, Dominioni, Goran and Guidi, Sebastián (2020) The scale of COVID-19 graphs affects understanding, attitudes, and policy preferences. Health Economics, 29 (11). 1482 - 1494. ISSN 1057-9230

Text (Sotis_scale-of-covid-19-graphs-affects-understanding--published) - Published Version Available under License Creative Commons Attribution. Download (608kB)

• Author

Abstract

Mass media routinely present data on coronavirus disease 2019 (COVID‐19) diffusion with graphs that use either a log scale or a linear scale. We show that the choice of the scale adopted on these graphs has important consequences on how people understand and react to the information conveyed. In particular, we find that when we show the number of COVID‐19 related deaths on a logarithmic scale, people have a less accurate understanding of how the pandemic has developed, make less accurate predictions on its evolution, and have different policy preferences than when they are exposed to a linear scale. Consequently, merely changing the scale the data is presented on can alter public policy preferences and the level of worry about the pandemic, despite the fact that people are routinely exposed to COVID‐19 related information. Providing the public with information in ways they understand better can help improving the response to COVID‐19, thus, mass media and policymakers communicating to the general public should always describe the evolution of the pandemic using a graph on a linear scale, at least as a default option. Our results suggest that framing matters when communicating to the public.

Item Type:	Article
Official URL:	https://onlinelibrary.wiley.com/journal/10991050
Additional Information:	© 2020 The Authors
Divisions:	Economics
Subjects:	R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine P Language and Literature > PN Literature (General) > PN1990 Broadcasting H Social Sciences > HV Social pathology. Social and public welfare. Criminology H Social Sciences > HA Statistics
JEL classification:	D - Microeconomics > D9 - Intertemporal Choice and Growth > D90 - General D - Microeconomics > D9 - Intertemporal Choice and Growth > D91 - Intertemporal Consumer Choice; Life Cycle Models and Saving I - Health, Education, and Welfare > I1 - Health > I10 - General I - Health, Education, and Welfare > I1 - Health > I12 - Health Production: Nutrition, Mortality, Morbidity, Suicide, Substance Abuse and Addiction, Disability, and Economic Behavior I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy; Regulation; Public Health
Date Deposited:	24 Aug 2020 10:42
Last Modified:	09 Nov 2024 00:11
URI:	http://eprints.lse.ac.uk/id/eprint/106217

Actions (login required)

View Item