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Institutional Context, Contract Survival, and Time Discounting
Last registered on November 19, 2019

Pre-Trial

Trial Information
General Information
Title
Institutional Context, Contract Survival, and Time Discounting
RCT ID
AEARCTR-0004845
Initial registration date
October 11, 2019
Last updated
November 19, 2019 8:04 AM EST
Location(s)

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Primary Investigator
Affiliation
University of Reading
Other Primary Investigator(s)
PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation
Additional Trial Information
Status
In development
Start date
2019-10-28
End date
2019-12-20
Secondary IDs
Abstract
Discount rates in developing countries have been found to be very high, at times in the order of 100% a year or more. We devise a method to separate pure rates of time discounting from perceptions of the future as inherently uncertain. We then measures these different quantities while experimentally varying the institution delivering the future payout.
External Link(s)
Registration Citation
Citation
Abdellaoui, Mohammed et al. 2019. "Institutional Context, Contract Survival, and Time Discounting." AEA RCT Registry. November 19. https://doi.org/10.1257/rct.4845-1.1.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-10-28
Intervention End Date
2019-12-20
Primary Outcomes
Primary Outcomes (end points)
The contract survival probabilities--see analysis plan for details.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We will experimentally vary the institution delivering future payouts.
Experimental Design Details
Not available
Randomization Method
Lottery.
Randomization Unit
Household.
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
800
Sample size: planned number of observations
We are planning to use 800 participants. However, we reserve the right to increase this number of the evidence should be inconclusive. We use a Bayesian setup with pre-registered regions of practical equivalents, which allow us to accept the null as well as reject it.
Sample size (or number of clusters) by treatment arms
200 for each of the 4 treatments.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Ethics Commission, Faculty of Economics and Business Administration, Ghent University
IRB Approval Date
2019-09-18
IRB Approval Number
FEB 2019 M
Analysis Plan

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