Selection and Impact of Modern Industrial Employment: Evidence from a Field Experiment with a Tanzanian factory

Last registered on June 15, 2022

Pre-Trial

Trial Information

General Information

Title
Selection and Impact of Modern Industrial Employment: Evidence from a Field Experiment with a Tanzanian factory
RCT ID
AEARCTR-0009549
Initial registration date
June 09, 2022

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
June 15, 2022, 10:05 AM EDT

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

Locations

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Primary Investigator

Affiliation
University of California Berkeley

Other Primary Investigator(s)

PI Affiliation
Harvard University
PI Affiliation
Harvard University
PI Affiliation
University of British Columbia
PI Affiliation
London School of Economics

Additional Trial Information

Status
On going
Start date
2022-01-04
End date
2024-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The emergence of a particular set of socio-psychological traits, including patience, impersonal pro-sociality, and individualism, is hypothesized to be central to Europe’s economic and industrial takeoff. An open question is whether such cultural characteristics lead to industrialization, or whether industrialization itself causes individuals and societies to develop such psychological patterns. We make progress on this question by conducting a field experiment in Tanzania to separately identify the selection and treatment effects of manufacturing employment. On the selection margin, we ask whether individuals who self-select into manufacturing employment systematically differ in their ability, ‘soft’ skills (including self-control and punctuality), and psychological traits (such as competitiveness and individualism). On the treatment margin, we partner with one of the largest garment factories in Tanzania to implement a randomized encouragement design to generate exogenous variation in hiring probabilities to measure the causal effects of manufacturing employment on these same dimensions.
External Link(s)

Registration Citation

Citation
Ho, Yuen et al. 2022. "Selection and Impact of Modern Industrial Employment: Evidence from a Field Experiment with a Tanzanian factory." AEA RCT Registry. June 15. https://doi.org/10.1257/rct.9549-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-05-05
Intervention End Date
2022-12-31

Primary Outcomes

Primary Outcomes (end points)
Selection into manufacturing employment; socio-psychological traits including time and risk preferences, self-control, punctuality, competitiveness, individualism, gender views; work attendance and productivity
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We construct a representative sample of job seeking youths who live within commuting distance of our partner firm and randomize the recruitment materials that a youth receive to generate exogenous variation in hiring probabilities.
Experimental Design Details
Not available
Randomization Method
Randomization is done with Stata version 17.0
Randomization Unit
Randomization is conducted at the GPS pin level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
2,200 GPS pins.
Sample size: planned number of observations
2,400 job-seeking youth
Sample size (or number of clusters) by treatment arms
733 GPS pins assigned to control, 1,467 GPS pins assigned to treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Depending on our assumed application pass through-rate, we are powered to detect an effect size between 0.26 SD - 0.33 SD with a power of 0.9
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard Human Research Protection Program
IRB Approval Date
2020-03-26
IRB Approval Number
IRB19-1227