Igniting Deliberation in High Stake Decisions: A Field Study
Last registered on March 15, 2021

Pre-Trial

Trial Information
General Information
Title
Igniting Deliberation in High Stake Decisions: A Field Study
RCT ID
AEARCTR-0007364
Initial registration date
March 15, 2021
Last updated
March 15, 2021 11:18 AM EDT
Location(s)
Primary Investigator
Affiliation
ShanghaiTech University
Other Primary Investigator(s)
PI Affiliation
Shenzhen University WeBank Institute of Fintech and Shenzhen Audencia Business School, PR China.
PI Affiliation
I) Department of Economics, University of Zurich and II) School of Management and Law, Zurich University of Applied Sciences.
Additional Trial Information
Status
Completed
Start date
2019-05-15
End date
2019-11-03
Secondary IDs
Abstract
We conduct a large-scale randomized field experiment to study whether providing information about the costs of a high-stake real decision can improve the quality of the choices made. Besides simply providing relevant cost information at face value, we conduct two additional treatments, where we either present the same information in terms of real opportunity costs, or by administering the information via a quiz to ignite deliberation. We find that providing cost information substantially affects the choices made, and reduces the decision mistakes, in particular in the two additional treatments.
External Link(s)
Registration Citation
Citation
Hefti, Andreas, King King Li and Peiyao Shen. 2021. "Igniting Deliberation in High Stake Decisions: A Field Study." AEA RCT Registry. March 15. https://doi.org/10.1257/rct.7364-1.1.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-06-01
Intervention End Date
2019-10-08
Primary Outcomes
Primary Outcomes (end points)
purchase decisions
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We conduct a large-scale randomized field experiment to study whether providing information about the costs of a high-stake real decision can improve the quality of the choices made. Besides simply providing relevant cost information at face value, we conduct two additional treatments, where we either present the same information in terms of real opportunity costs, or by administering the information via a quiz to ignite deliberation.
Experimental Design Details
Randomization Method
Computer randomization through stratification in three variables: number of households, population size, and annual income per capita.
Randomization Unit
village
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
110 Villages
Sample size: planned number of observations
40,000 households
Sample size (or number of clusters) by treatment arms
29 villages for control, 27 villages for each treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
ShanghaiTech University Institutional Review Board(上海科技大学科研伦理委员会)
IRB Approval Date
2019-05-07
IRB Approval Number
N/A
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
Yes
Intervention Completion Date
October 08, 2019, 12:00 AM +00:00
Is data collection complete?
Yes
Data Collection Completion Date
November 03, 2019, 12:00 AM +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
107 villages
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
42,454 households
Final Sample Size (or Number of Clusters) by Treatment Arms
30 villages control, 23 villages Pure Information treatment, 27 villages Milk treatment, 27 villages Involvement treatment
Data Publication
Data Publication
Is public data available?
No

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Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS