Optimal Policy with Correlated Interalities and Preferences: The Case of E-Cigarettes

Last registered on June 29, 2023

Pre-Trial

Trial Information

General Information

Title
Optimal Policy with Correlated Interalities and Preferences: The Case of E-Cigarettes
RCT ID
AEARCTR-0011508
Initial registration date
May 31, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
June 06, 2023, 4:13 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
June 29, 2023, 2:19 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Johns Hopkins

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2023-06-01
End date
2023-06-02
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
A key rationale for taxing "risky" goods such as cigarettes is that individuals consume these goods more than what is both privately optimal. Examples of these ``internalities" include being uninformed about the health risks or having time inconsistent preferences. I study the correlation between internalities and and preferences in the context of tobacco products. The key point of my study is to quantify the extent to which cigarette smokers who misperceive the relative health risks of cigarettes and e-cigarettes, and thus exhibit potentially large internalities, are also more or less sensitive to changes in relative prices. After identifying these correlations, I will simulate the optimal cigarette and e-cigarette taxes. Unfortunately, large-scale nationally representative data sources that a.) have the power to identify small price and cross-price elasticities with precision and b.) ask about relative health risk perceptions do not exist. Thus, I will conduct a survey in which, in addition to risk perceptions, I will present respondents with randomized choice scenarios. The combination of these variables will allow me to identify the interaction effects between risk perceptions and substitution patterns.
External Link(s)

Registration Citation

Citation
Darden, Michael. 2023. "Optimal Policy with Correlated Interalities and Preferences: The Case of E-Cigarettes." AEA RCT Registry. June 29. https://doi.org/10.1257/rct.11508-1.2
Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
Intervention Start Date
2023-06-01
Intervention End Date
2023-06-02

Primary Outcomes

Primary Outcomes (end points)
I will consider two dependent variables. One is stated intention to quit (or reduce intensity on the intensive margin). The second is
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Survey respondents will be asked about their intentions to change a.) cigarette consumption and b.) e-cigarette consumption in a hypothetical scenario in which the price of cigarettes is increased. The amount by which the cigarette price will increase will be randomized into four dollar amounts, each of which is an increase per pack.
Experimental Design Details
Randomization Method
Randomization is done via Qualtrics.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1000 Individuals.
Sample size: planned number of observations
1000 Individuals
Sample size (or number of clusters) by treatment arms
250 in each of 4 treatment arms
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

Documents

Document Name
Survey
Document Type
survey_instrument
Document Description
File
Survey

MD5: 98197c8a8ccb80f16796f2f6bc4fc220

SHA1: ed4cc57be629ab2a65397fde108decab75d028d0

Uploaded At: May 31, 2023

IRB

Institutional Review Boards (IRBs)

IRB Name
Johns Hopkins Homewood IRB
IRB Approval Date
2023-05-25
IRB Approval Number
HIRB00017240

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
June 02, 2023, 12:00 +00:00
Data Collection Complete
Yes
Data Collection Completion Date
June 02, 2023, 12:00 +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
943
Was attrition correlated with treatment status?
Final Sample Size: Total Number of Observations
Final Sample Size (or Number of Clusters) by Treatment Arms
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials