Social preferences during the COVID-19 pandemic: Health vs Wealth trade-off.

Last registered on April 06, 2020

Pre-Trial

Trial Information

General Information

Title
Social preferences during the COVID-19 pandemic: Health vs Wealth trade-off.
RCT ID
AEARCTR-0005648
Initial registration date
April 05, 2020

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
April 06, 2020, 1:39 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Auburn University

Other Primary Investigator(s)

PI Affiliation

Additional Trial Information

Status
In development
Start date
2020-04-06
End date
2020-04-30
Secondary IDs
Abstract
Background: The COVID-19 outbreak forced the federal U.S. government and local authorities to take unprecedented measures to contain the virus. Regulatory efforts culminated with the lockdown of major cities - which led to business shutdowns, stock market meltdown and to an increase in the unemployment rate across the country.

Although the federal government managed to secure a stimulus bill to boost the economy, it also started to argue that economic activity should be resumed. However, public health experts warn the government that restoring the pre-outbreak economic activity without ensuring the sufficient containment of the virus can exacerbate the dire condition on the ground. This debate generated two major opposing views. On one side of the aisle, pundits claim that economic inactivity can worsen public health issues via increased unemployment and food insecurity. In its turn, the other side argues opening up businesses without defeating the outbreak endangers the public health and goes against the supremacy of human life.

Motivation: The current project seeks to scrutinize this tension in the current public debate by focusing on the wealth-health trade-off. It seems that pundits (pro-wealth) who support the immediate restoration of economic activity are more inclined to favor public wealth over public health. However, the counter side (pro-health) puts a priority on securing public health. On another hand, opposing pundits rely and disseminate different subsets of facts in public discourse. The pro-wealth group constantly circulates facts about economic issues, and in its turn, the pro-healthy group emphasizes the role of social distancing in slowing down the spread of the virus. Our project seeks to measure the causal role of information in pushing the public to one of the opposing sides. Specifically, we will explore other-regarding preferences to elicit pro-wealth or pro-health views, and will test how providing appealing scientific information can change the relative percentage of supporters of the opposing views.


External Link(s)

Registration Citation

Citation
Huseynov, Samir, Rodolfo M. Nayga Jr. and Marco A. Palma. 2020. "Social preferences during the COVID-19 pandemic: Health vs Wealth trade-off.." AEA RCT Registry. April 06. https://doi.org/10.1257/rct.5648-1.0
Experimental Details

Interventions

Intervention(s)
Method: We will use the M-Turk platform and will conduct an incentivized online study.

Intervention Start Date
2020-04-06
Intervention End Date
2020-04-30

Primary Outcomes

Primary Outcomes (end points)
donations, risk-taking, and guessing the median amount of donations, and gender.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Method: We will use the M-Turk platform and will conduct an incentivized online study.

Measure: We will measure the trade-off between pro-wealth and pro-health preferences with a dictator game:

Experimental Design Details
Randomization Method
Randomization will be done by the Qualtrics system.
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1200
Sample size: planned number of observations
1200
Sample size (or number of clusters) by treatment arms
300
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Texas A&M University IRB
IRB Approval Date
2020-04-05
IRB Approval Number
IRB2020-0400M

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials