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The Role of Heuristics and Perception in Influencing Individuals' Demand for Social Distancing in the Context of COVID-19
Last registered on May 07, 2020

Pre-Trial

Trial Information
General Information
Title
The Role of Heuristics and Perception in Influencing Individuals' Demand for Social Distancing in the Context of COVID-19
RCT ID
AEARCTR-0005817
Initial registration date
May 07, 2020
Last updated
May 07, 2020 11:09 AM EDT
Location(s)

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Primary Investigator
Affiliation
State University of New York (Binghamton) & Harvard University
Other Primary Investigator(s)
PI Affiliation
State University of New York (at Binghamton)
PI Affiliation
State University of New York (at Binghamton)
Additional Trial Information
Status
On going
Start date
2020-04-15
End date
2021-08-31
Secondary IDs
Abstract
We examine the economic determinants for social distancing in the context of COVID-19. Previous economics studies document the important role behavioral biases could play in inter-temporal decision-making. Viewing health in an inter-temporal framework, individuals make health investment decisions in the present to maximize their lifetime utility. Behavioral biases, however, could influence the optimal demand for
preventive healthcare and in particular their demand for social distancing. Using an online field experiment, we examine the extent to which various behavioral biases influence individual demand for social distancing.
Registration Citation
Citation
Nikolov, Plamen, Andreas Pape and Ozlem Tonguc. 2020. "The Role of Heuristics and Perception in Influencing Individuals' Demand for Social Distancing in the Context of COVID-19." AEA RCT Registry. May 07. https://doi.org/10.1257/rct.5817-1.0.
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Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2020-04-15
Intervention End Date
2021-08-31
Primary Outcomes
Primary Outcomes (end points)
demand for social distancing, risk preferences, time preferences, social preferences
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We randomize educational and mental health-related messaging
Experimental Design Details
Not available
Randomization Method
Stratified computer randomization
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1200 individuals
Sample size: planned number of observations
1200 individuals
Sample size (or number of clusters) by treatment arms
1200 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Binghamton University
IRB Approval Date
20120-04-17
IRB Approval Number
STUDY00002341