Go for It while You Can: Insurance Panel Experiment
Last registered on June 13, 2021

Pre-Trial

Trial Information
General Information
Title
Go for It while You Can: Insurance Panel Experiment
RCT ID
AEARCTR-0007084
Initial registration date
January 27, 2021
Last updated
June 13, 2021 9:43 AM EDT
Location(s)
Region
Primary Investigator
Affiliation
University of St. Gallen
Other Primary Investigator(s)
PI Affiliation
University of St. Gallen
PI Affiliation
Ghent University
PI Affiliation
HEC Paris
PI Affiliation
HEC Paris
Additional Trial Information
Status
In development
Start date
2021-01-27
End date
2022-12-31
Secondary IDs
Abstract
We seek to investigate how the provision of insurance influences decisions under risk and time in a panel setting. Our study will be implemented in a homogenous area in rural Uganda over the course of the next two years.
External Link(s)
Registration Citation
Citation
Vieider, Ferdinand et al. 2021. "Go for It while You Can: Insurance Panel Experiment." AEA RCT Registry. June 13. https://doi.org/10.1257/rct.7084-1.2000000000000002.
Sponsors & Partners
Sponsor(s)
Partner(s)
Experimental Details
Interventions
Intervention(s)
We plan to randomly provide maize insurance to about 300 maize farmers in our sample, half the total. We will do so for both rainy seasons of the year. The sum insured will depend on the total land (i.e. acreage) each farmer cultivated during the two seasons of the year prior to the start of the treatment; information that will be collected at the baseline. The yield is estimated to be 2,000 kg of maize per acre; towards the upper limit of what farmers achieve with traditional farming techniques, and a reasonable amount for farmers using modern inputs. Each kilogram is insured at 500 USh.
Intervention Start Date
2021-06-15
Intervention End Date
2022-07-01
Primary Outcomes
Primary Outcomes (end points)
Measures of risk and time preferences (see design document for details)
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Our research aims to investigate how the provision of insurance influences decisions under risk and time. We intend to provide crop insurance to randomly selected subsistence maize farmers in order to shelter them from background risk. Such intervention ought to allow us to draw causal inferences on the effect of background risk on preferences and behaviour. In order to carry out these tests, we will be measuring the risk and time preferences of maize farmers in a panel structure within a homogeneous maize-growing region in Uganda, with two measurements a year between the two rainy seasons.
Experimental Design Details
Not available
Randomization Method
Computer Randomisation.
Randomization Unit
Village
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
34 villages in the area of study.
Sample size: planned number of observations
607 participants. Approximately 18 households per cluster (one cluster is double the size)
Sample size (or number of clusters) by treatment arms
285 in the treatment and 323 in the control group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Minimum Detectable Effect is 0.05 with a power of 0.8.
Supporting Documents and Materials

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

Request Information
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of St.Gallen (HSG) Ethics Committee
IRB Approval Date
2019-12-02
IRB Approval Number
HSG-EC-2019-08-28-A
Analysis Plan

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

Request Information