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Creating (Digital) Labor Markets in Rural Tanzania
Last registered on July 30, 2019

Pre-Trial

Trial Information
General Information
Title
Creating (Digital) Labor Markets in Rural Tanzania
RCT ID
AEARCTR-0004483
Initial registration date
July 24, 2019
Last updated
July 30, 2019 2:19 PM EDT
Location(s)
Primary Investigator
Affiliation
UC SANTA CRUZ
Other Primary Investigator(s)
Additional Trial Information
Status
On going
Start date
2019-02-11
End date
2019-10-31
Secondary IDs
Abstract
The project studies whether there exist search frictions in fragmented rural labor markets in Tanzania and the extent to which search frictions constrain an efficient allocation of labor within village. This project aims to test these hypotheses by offering a digital labor market technology: job information sharing via automated text messages.

An automated SMS app that connects agricultural employers and workers is offered in randomly selected villages. Employers in treatment villages can request for casual workers for agricultural tasks via SMS, and the workers within the specified boundary receive the job ad with summarized job details. Workers can apply to the job, which is instantly forwarded to the original employer who posted the job ad.
External Link(s)
Registration Citation
Citation
JEONG, DAHYEON. 2019. "Creating (Digital) Labor Markets in Rural Tanzania." AEA RCT Registry. July 30. https://doi.org/10.1257/rct.4483-2.0.
Former Citation
JEONG, DAHYEON. 2019. "Creating (Digital) Labor Markets in Rural Tanzania." AEA RCT Registry. July 30. http://www.socialscienceregistry.org/trials/4483/history/50890.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-02-11
Intervention End Date
2019-10-31
Primary Outcomes
Primary Outcomes (end points)
Wage dispersion and farm labor allocation
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
An automated SMS app that connects agricultural employers and workers is offered in randomly selected villages. Employers in treatment villages can request for casual workers for agricultural tasks via SMS, and the workers within the specified boundary receive the job ad with summarized job details. Workers can apply to the job, which is instantly forwarded to the original employer who posted the job ad.
Experimental Design Details
Randomization Method
randomization done in office by a computer
Randomization Unit
Village
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
70 villages
Sample size: planned number of observations
650 farmers
Sample size (or number of clusters) by treatment arms
40 treatment villages
30 control villages
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
UNIVERSITY OF CALIFORNIA, SANTA CRUZ
IRB Approval Date
2017-08-09
IRB Approval Number
HS2924
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is 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