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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 V1

Name File Type Size Last Modified
  Dataset-folder-A 04/03/2024 03:49:PM
  Dataset-folder-B 04/03/2024 03:50:PM
  Program-folder-A 04/03/2024 03:47:PM
  Program-folder-B 04/03/2024 03:48: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 95.9 KB 04/03/2024 11:35:AM
Table A1.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 16.8 KB 04/03/2024 10:13:AM
Table A2.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 17.2 KB 04/01/2024 11:41:AM
Table B1.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 16.8 KB 04/01/2024 11:45:AM
Table B2.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 15.4 KB 04/01/2024 11:53:AM

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], 2024-04-05. https://doi.org/10.3886/E199701V1

Project Description

Summary:  View help for 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:  View help for Subject Terms Economics of Health
JEL Classification:  View help for JEL Classification
      I12 Health Behavior
Manuscript Number:  View help for Manuscript Number ECIN-Jul-2023-0300.R2
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2019 – 2022
Collection Date(s):  View help for Collection Date(s) 2019 – 2022
Universe:  View help for Universe General population or smokers or vapors in the United State.
Data Type(s):  View help for Data Type(s) aggregate data; survey data
Collection Notes:  View help for 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:  View help for Response Rate The online surveys our research team conducted have high response rates, more than 90%.
Sampling:  View help for Sampling The online surveys our research team conducted recruit adults 21 years old or older.
Data Source:  View help for Data Source Public-use secondary data and data from online surveys our research team conducted with online survey firms.
Collection Mode(s):  View help for Collection Mode(s) web-based survey
Scales:  View help for Scales Several Likert-type scales were used in the online surveys our research team conducted.
Weights:  View help for 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:  View help for Unit(s) of Observation Individuals
Geographic Unit:  View help for Geographic Unit Not applied (national level study)

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Published Versions

V2 [2024-05-24]

V1 [2024-04-05]

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