ECIN Replication Package for "Misinformation, Consumer Risk Perceptions, and Markets: The Impact of an Information Shock on Vaping and Smoking Cessation"

Principal Investigator(s): View help for Principal Investigator(s) Lawrence Jin, Lee Kuan Yew School of Public Policy, National University of Singapore; Donald Kenkel , Department of Economics, Jeb E. Brooks School of Public Policy, Cornell University; Michael Lovenheim , Department of Economics, Jeb E. Brooks School of Public Policy, Cornell University; Alan Mathios , Department of Economics, Jeb E. Brooks School of Public Policy, Cornell University; Hua Wang, Jeb E. Brooks School of Public Policy, Cornell University

Version: View help for Version V2

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Program-folder-A			05/22/2024 04:48:PM
Program-folder-B			05/22/2024 04:49:PM
E-Cig Simulation Model.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	1.8 MB	04/01/2024 02:37:PM
README.pdf	application/pdf	157.1 KB	05/23/2024 01:19:PM

Project Citation:

Jin, Lawrence , Kenkel , Donald, Lovenheim , Michael , Mathios , Alan , and Wang, Hua. ECIN Replication Package for “Misinformation, Consumer Risk Perceptions, and Markets: The Impact of an Information Shock on Vaping and Smoking Cessation” . Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-24. https://doi.org/10.3886/E199701V2

Project Description

Summary: This is a result replication package accompanying a paper, whose Abstract is the following.
ABSTRACT Smoking is the leading preventable cause of death in the U.S. Because e-cigarettes do not involve the combustion of tobacco, vaping offers the potential to prevent the majority of the health consequences of smoking. We study the impact of an information shock created by an outbreak of lung injuries apparently related to e-cigarettes. We use data from multiple sources: surveys of risk perceptions conducted before, during, and after the outbreak; an in-depth survey we conducted on risk perceptions and vaping and smoking behavior; and national aggregate time-series sales data. We find that after the outbreak, consumer perceptions of the riskiness of e-cigarettes sharply increased, so that in contrast to almost all experts, the majority of consumers perceive e-cigarettes to be relatively and absolutely riskier than cigarettes. From our estimated e-cigarette demand models, we conclude that the information shock reduced e-cigarette demand by about 30 percent. We also estimate that the information shock decreased the use of e-cigarettes for smoking cessation, again by about 30 percent. Our estimates predict that over time, the reduced smoking cessation due to the information shock will in turn increase smoking-related illness and death.

Scope of Project

Subject Terms: Economics of Health

JEL Classification:
I12 Health Behavior

Manuscript Number: ECIN-Jul-2023-0300.R2

Geographic Coverage: United States

Time Period(s): 2019 – 2022

Collection Date(s): 2019 – 2022

Universe: General population or smokers or vapors in the United State.

Data Type(s): aggregate data; survey data

Collection Notes: This project used public-use secondary data from well-established national surveys, such as National Youth Tobacco Surveys.

This project also used data from a set of online surveys conducted by well-established survey companies or online survey firms such as NielsenIQ. Our research team designed these online surveys and obtained approval from Cornell University Institutional Review Board for Human Participant Research (IRB).

Methodology

Response Rate: The online surveys our research team conducted have high response rates, more than 90%.

Sampling: The online surveys our research team conducted recruit adults 21 years old or older.

Data Source: Public-use secondary data and data from online surveys our research team conducted with online survey firms.

Collection Mode(s): web-based survey

Scales: Several Likert-type scales were used in the online surveys our research team conducted.

Weights: Sampling weights were used in part of the analysis, for example, estimates of cigarettes or vaping consumed by age groups.

Unit(s) of Observation: Individuals

Geographic Unit: Not applied (national level study)

Related Publications

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Published Versions

V2 [2024-05-24]

V1 [2024-04-05]

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