Job referrals and strategic network formation -- Experimental evidence from urban neighbourhoods in Ethiopia
Last registered on August 11, 2017

Pre-Trial

Trial Information
General Information
Title
Job referrals and strategic network formation -- Experimental evidence from urban neighbourhoods in Ethiopia
RCT ID
AEARCTR-0002334
Initial registration date
August 11, 2017
Last updated
August 11, 2017 2:23 PM EDT
Location(s)

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Primary Investigator
Affiliation
University of Oxford
Other Primary Investigator(s)
Additional Trial Information
Status
On going
Start date
2016-12-01
End date
2017-11-01
Secondary IDs
Abstract
This experiment tests what influences the linking decisions between individuals through job referrals, and whether these social job networks are formed strategically. I randomly generate job opportunities for young job seekers from dense urban neighbourhoods in Addis Ababa, Ethiopia. Some participants are enabled to refer individuals from their neighbourhood to the same job, and I repeat this experiment for several rounds. Explanatory variables of interest are various referral treatment indicators, various measures of participants' network centrality, as well as dyadic characteristics of two individuals in the social networks. Outcomes of interest are a variety of referral indicators between two individuals.
External Link(s)
Registration Citation
Citation
Witte, Marc. 2017. "Job referrals and strategic network formation -- Experimental evidence from urban neighbourhoods in Ethiopia." AEA RCT Registry. August 11. https://www.socialscienceregistry.org/trials/2334/history/20369
Experimental Details
Interventions
Intervention(s)
The study is a lab-in-the-field experiment on social network referrals in day labour markets.

The study comprises three different referral interventions:
1. Referral treatment (revealed social network centrality)
2. Referral treatment (concealed characteristics)
3. Referral treatment (performance incentivised)
4. Control group

In detail, the treatments/interventions are defined as follows: Intervention 1 allows participants to refer one other person from their neighborhood to the same day work the next day (the work is provided by the researcher). For this intervention, participants are given an exhaustive list with all eligible other individuals living in their neighborhood, including everyone’s degree centrality (as measured by number of connections in the neighborhood). Intervention 2 is similar to intervention 1, but does not reveal the other individuals’ degree centrality. Intervention 3 is similar to intervention 1, but the person referring another individual from the neighborhood to the day work receives a payment based on the referrals work performance.

In general, the day work I am providing is similar to office-style, workplace-related jobs. The task performance is incentivised for all participants, with a maximum payment of 200 ETB (~ 7 GBP). Work sessions take place on consecutive days or are spread over a whole day. The multiple rounds of the lab-in-the-field experiment are unannounced ex ante (to ensure comparability between other/same referrals).
Intervention Start Date
2016-12-15
Intervention End Date
2017-02-15
Primary Outcomes
Primary Outcomes (end points)
My main outcome of interest is whether individual i makes a referral to individual j.
Primary Outcomes (explanation)
The referral outcome is a binary indicator, measuring whether individual i is referring individual j to the day work. This outcome is measured at different points in time, after each round of the experiment.
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Short summary:
- Baseline survey of over 600 individuals;
- Several rounds of a lab-in-the-field experiments with three different referral treatments;
- Follow-up phone survey of participants

Details:
- I randomly select 17 densely populated urban neighbourhoods in Addis Ababa, where I collect baseline data on young unemployed individuals and their social networks.
- Within the selected neighbourhoods, I take a census (door-to-door solicitation) of all eligible resident individuals, where eligibility is defined as follows: Permanently living in the selected neighbourhood; between 18 and years of age; not in permanent employment or education.
- These eligible individuals are surveyed with a baseline questionnaire, including questions on personal characteristics, labour market outcomes, behavioural questions, and a detailed social network section, containing a range of questions about every other eligible individual in the neighbourhood.
- I then conduct a lab-in-the-field experiment in various locations in Addis Ababa: After the baseline survey, a random subsample from each neighbourhood is invited to a paid day job (the lab-in-the-field experiment). Lab sessions take place separate by neighbourhood
- The lab sessions consist of a work-related and quantifiable effort task. After the completion of the task, participants are randomly allocated to different work referral treatments (described above). The day job experiment is repeated over three rounds.
- A few days after participating in the lab-in-the-field experiment, participants are called by phone and asked follow-up questions on the referral decisions they made.
- Eventually, this experiment tests what influences the linking decisions between participants through the different referral treatments, and whether these social job networks are formed strategically. A particular focus will be on the role of networks centrality in referring other workers vs. correlated social characteristics of individuals. A further focus will be on reciprocity in referring (measured over the multiple rounds of the experiment) as well as permanent exclusion from the temporary day labour market opportunities I am generating.
Experimental Design Details
Not available
Randomization Method
Randomisation before sessions done in office by a computer (allocation to lab sessions and treatment groups)
Randomization Unit
Individuals (young job-seekers)
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
17 neighbourhoods, without clustering. All treatments are implemented in all neighbourhoods
Sample size: planned number of observations
Approximately 600 individuals
Sample size (or number of clusters) by treatment arms
150 referral treatment 1, 150 referral treatment 2, 150 referral treatment 3, 150 control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Department’s Research Ethics Committee (DREC), Department of Economics, University of Oxford
IRB Approval Date
2016-08-16
IRB Approval Number
ECONCIA16-17-003
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