Cognitive load, migration, and climate adaptation in Senegal*

Last registered on October 17, 2023

Pre-Trial

Trial Information

General Information

Title
Cognitive load, migration, and climate adaptation in Senegal*
RCT ID
AEARCTR-0012252
Initial registration date
October 06, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
October 17, 2023, 11:30 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Kiel Institute for the World Economy

Other Primary Investigator(s)

PI Affiliation
RWI - Leibniz Institute for Economic Research
PI Affiliation
RWI - Leibniz Institute for Economic Research
PI Affiliation
RWI - Leibniz Institute for Economic Research
PI Affiliation
University of Washington & Amazon

Additional Trial Information

Status
In development
Start date
2023-10-07
End date
2023-11-15
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Climate change brings substantial challenges to agricultural communities, marked by rising unpredictability in water availability and weather patterns. Rural populations thereby face complex choices, like investing in irrigation or migration, often making suboptimal decisions due to climate change's complexity and cognitive load—the mental resources consumed in decision-making. This study investigates the impact of climate change on cognitive load among rural populations in Senegal and its consequences on cognitive ability, risk preferences, adaptation and migration intentions.
External Link(s)

Registration Citation

Citation
Beber, Bernd et al. 2023. "Cognitive load, migration, and climate adaptation in Senegal*." AEA RCT Registry. October 17. https://doi.org/10.1257/rct.12252-1.0
Sponsors & Partners

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

Request Information
Experimental Details

Interventions

Intervention(s)
We implement four interventions. The first two interventions are intended to induce
cognitive load through priming on climate and financial worries, respectively. The
third intervention consists of a neutral control prime that is expected not to have any
impacts. The fourth intervention intends to induce cognitive load mechanically through
a memory task. Please see Pre-Analysis Plan for further information.
Intervention (Hidden)
Intervention Start Date
2023-10-07
Intervention End Date
2023-11-15

Primary Outcomes

Primary Outcomes (end points)
Cognitive ability (Digit Span, Stroop), Tunnling, Worries, Risk preferences, Budget allocation, Adaptation intentions, Migration intentions
Primary Outcomes (explanation)
See attached pre-analysis plan.

Secondary Outcomes

Secondary Outcomes (end points)
See Pre-Analysis Plan
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We conduct our study in an existing sample, which was selected and first contacted
in 2022. The sample includes a total of 145 rural villages, which are grouped in
four samples: A nationally representative sample of rural villages (35 villages);
representative samples in our three focus departments Kaolack, Matam,
and Sedhiou (30 villages each); and a set of 10 villages in Thies and Diourbel that
were targeted by the NGO Eclosio for a separate irrigation intervention as well as
10 matched villages in the same departments who did not benefit from the irrigation
intervention.In total, the sampling frame covered 3,082 out of 3,463
rural villages across all regions and 35 of 41 departments outside of Dakar.2
Villages were randomly sampled within location-based strata, namely
within district for focus departments and within region for the national sample. A
re-randomization algorithm was employed to ensure representativeness with respect to
a set of characteristics for which administrative data is available (logged population
and household counts, average household size, and the share of women at the village
level, and the average age and share of residents recorded as absent at the level of the
commune).
Within sampled villages, all households were contacted in July and August
2022 for completion of a roster, which includes individual migration histories,
followed by a questionnaire eliciting basic household characteristics and a net-
work module.
Within villages households were further randomly sampled for in-depth
surveys at the household and individual level conducted in September and October
2022. In-depth interviews were carried out with men aged 18–40 and the households
of which they are members, because this constitutes the demographic group in rural
Senegal most likely to relocate for work.Within-village household samples were drawn in proportion to village size, with a
minimum target sample size of 15 households and a maximum of 45 households per
village. Within villages selection was stratified based on roster-reported migration
experiences among individuals with whom the in-depth interview was conducted with,
such that those that have migrated either domestically or internationally in the previous
twelve months were undersampled roughly by a factor of two. Within each strata,household selection probabilities were proportional to the number of within-household
target individuals, i.e. the relevant household size metric. Finally, individual for the
in-depth interview was randomly selected within each sampled household.
In total 9,665 household interviews and 4,755 in-depth interviews were completed.For this study, we follow up the 4,775 male individuals aged 18 to 40 and their house-
holds of the 2022 in-depth survey. The survey will again consist of a household-level
section answered by the head or, if not available, a knowledgeable member of the house-
hold, and an individual-level section with the same male respondent of the 2022 survey.
The experiment will be implemented in the individual-level part of the survey.
Experimental Design Details
Randomization Method
We randomly assign each subject to one of the four interventions described in
section 2.1. Assignment probabilities are the same across interventions and subjects,
with 1,189 subjects each assigned to receive the climate prime, the economic prime, and
the soccer (control) prime, and 1,188 subjects assigned to mechanic load induction, for
a total of 4,755 subjects. We implement the assignment within 145 strata, where each
stratum corresponds to a village, and we use a re-randomization algorithm to establish
balance in individual-level covariates at baseline.
Concerning our randomization method, randomization was carried out using
statistical software on a computer.
With respect to our randomization unit, we randomly assign individual subjects.
Randomization Unit
We randomize at the Individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
No cluster
Sample size: planned number of observations
ca 4,775 male individuals aged 18 to 40
Sample size (or number of clusters) by treatment arms
1,189 participants each in poverty/climate/soccer prime treatment, and 1,188 participants in mechanic load treatment.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We calculate minimum detectable effect sizes of 0.1402 standard deviations for all three treatments.
IRB

Institutional Review Boards (IRBs)

IRB Name
Human Subjects Committee for Innovations for Poverty Action IRB-USA
IRB Approval Date
2023-09-28
IRB Approval Number
16872
Analysis Plan

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

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

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

Request Information

Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials