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

Locations

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 and DAHYEON JEONG. 2019. "Creating (Digital) Labor Markets in Rural Tanzania." AEA RCT Registry. July 30. https://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

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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