xThe AEA RCT Registry will be down for maintenance on Tuesday, April 20th, from 9pm EDT to 11pm EDT to perform necessary upgrades. The site will be in maintenance mode during that time. We apologize for any inconvenience this may cause.
The Endowment Effect: High stakes evidence from rural Zambia
A growing literature associates poverty with biases in decision-making. We investigate this link in a sample of over 3,000 small-scale farmers in Zambia, who participated in a series of experiments involving the opportunity to exchange randomly assigned household items for alternative items of similar value. Exploring a total of 5,842 trading decisions over a range of household items we show that exchange asymmetries are sizable and remarkably robust across items and experimental procedures. Using cross sectional, seasonal and randomized variation in financial resource availability, we show that exchange asymmetries decrease in magnitude when subjects are more constrained. Consistent with the interpretation that financial constraints increase decision stakes, we also show that trading probabilities increase when the value of the items involved is exogenously increased.
External Link(s)
Citation
Fehr, Dietmar et al. 2019. "The Endowment Effect: High stakes evidence from rural Zambia." AEA RCT Registry. September 30. https://doi.org/10.1257/rct.1111-1.0.
We collect data in the context of an ongoing randomized controlled trial on seasonal resource constraints and labor supply that involved repeated surveys over multiple years (see Fink, Jack, and Masiye, 2018). As part of the ongoing surveys, households received a small item as a compensation for their time. We intervened in this standard procedure by randomly endowing participants with one of two equally-valued items midway through a survey. Items were common household necessities worth about 1/5th of the daily agricultural wage. At the end of the survey, surveyors offered participants the opportunity to trade the endowed item for the alternative item. This implements the standard exchange paradigm used to measure the "endowment effect" in laboratory settings in a more naturalistic, real-stakes decision in the field.
Intervention Start Date
2014-10-07
Intervention End Date
2015-09-15
Primary Outcomes (end points)
trading decisions
Primary Outcomes (explanation)
we record whether a respondent exchanges the item they received initially for an alternative item
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Trading decisions were measured over three survey rounds, implemented after the 2014 harvest, before the 2015 harvest (during the hungry season) and after the 2015 harvest, with random variation in respondent experience in each round. Item pairs and experimental procedures were varied at the village and household level, respectively, into the following conditions:
A) Item pairs:
i) Boom (washing powder) versus Salt
ii) Boom versus cash
iii) Cup versus spoon
iv) Solar lamp versus cash
B) Experimental procedures:
i) Free Choice (no initial assignment)
ii) Assigned (by computer)
iii) Lottery (transparent randomization)
iv) Timing (~5 min interval between assignment and trading opportunity)
v) Voucher (initial assignment of voucher instead of item)
vi) Expectations (trading opportunity announced at time of initial endowment)
vii) Wording (surveyor requested respondent to trade)
Experimental Design Details
Randomization Method
i) assignment of initial item:
standard assignment: computer
lottery: draw button from a bag
ii) assignment of item pairs and experimental procedures:
block randomized across rounds and treatments by computer
Randomization Unit
Village level (item pairs) and household level (experimental procedures)
Was the treatment clustered?
No
Sample size: planned number of clusters
175 villages
Sample size: planned number of observations
5842 choice or trading decisions across 3059 households
Sample size (or number of clusters) by treatment arms
3059 households that make up to three decisions each
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)