Evaluating the Impacts of Skills Training and Access to Digital Platforms on Female Domestic Workers in Bangladesh

Last registered on February 07, 2023

Pre-Trial

Trial Information

General Information

Title
Evaluating the Impacts of Skills Training and Access to Digital Platforms on Female Domestic Workers in Bangladesh
RCT ID
AEARCTR-0009633
Initial registration date
February 01, 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
February 07, 2023, 11:09 AM EST

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

Locations

Region

Primary Investigator

Affiliation
The World Bank

Other Primary Investigator(s)

PI Affiliation
The World Bank
PI Affiliation
The World Bank
PI Affiliation
Johns Hopkins University
PI Affiliation
The World Bank

Additional Trial Information

Status
On going
Start date
2022-08-01
End date
2024-04-15
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Despite the importance of domestic work globally as a source of employment opportunities for women, particularly women from low-income backgrounds, limited research has been done in the economics literature to assess or evaluate interventions in this sector. Our study proposes to evaluate the impacts of two types of interventions for female domestic workers in Bangladesh: 1) technical and life skills training and 2) access to digital work platforms that make it easier for female domestic workers to access new work opportunities. We plan to conduct a randomized controlled trial to assess the impacts of training and exposure to opportunities on digital labor platforms on the wellbeing of female domestic workers in Bangladesh. The study will help us understand the extent to which providing skills, including life and employability skills, and easing information frictions in the markets for informal labor can improve outcomes for female domestic workers in Bangladesh, a setting where an estimated 80 percent of the 1.3 million domestic workers are female.
External Link(s)

Registration Citation

Citation
ANUKRITI, S et al. 2023. "Evaluating the Impacts of Skills Training and Access to Digital Platforms on Female Domestic Workers in Bangladesh ." AEA RCT Registry. February 07. https://doi.org/10.1257/rct.9633-1.0
Experimental Details

Interventions

Intervention(s)
This trial will evaluate the joint and separate effects of two interventions. The first intervention is a skills training program developed by our partner NGO that seeks to build female domestic workers' life and occupational skills. The training covers interpersonal skills, literacy/numeracy, issue-based life skills, financial literacy, as well as imparts training specific to the skillset needed to be a successful domestic worker (namely, cooking, cleaning, etc.). The training is administered in groups of up to 20 women and takes a total of 14 full (non-consecutive) days.

The second intervention will facilitate onboarding of female domestic workers to an existing digital job platform operational in Bangladesh. This platform allows households looking to hire a domestic worker to match with a female domestic worker searching for a job via a phone-based app in a manner similar to Handy or Uber. Domestic workers can use a feature phone or a smartphone to register on this platform and find domestic work. The app allows options for the domestic worker to take an instant job, in which an appointment is scheduled for an agreed-upon amount of time for a set of tasks. Domestic workers receive appointments through automated calls on their phone and are paid through digital phone-based banking. The onboarding process will comprise a 3-4 hour-long in-person orientation session, followed by an phone-based IVR training to improve workers' familiarity and comfort with the job platform. The app rewards workers with small payments for completing the IVR training.
Intervention (Hidden)
1. We will provide 150 Taka (~USD 1.50) to all workers in our sample (regardless of whether they have a phone at baseline and regardless of treatment assignment) before the start of the intervention period to enable workers who do not have a sim card of their own to purchase a personal sim card if they so desire.
2. All workers will also be encouraged to and assisted with opening a mobile money account before the start of the intervention period.
3. Workers assigned to the skills training program will receive 5,000 Taka (~USD 50) as compensation for the time spent in training.
4. Workers assigned to the app onboarding arm will receive 850 Taka (~USD 8.50) in cash after the in-person orientation. This will enable women who do not have a personal phone to purchase a feature phone if they so desire.
Intervention Start Date
2023-01-30
Intervention End Date
2023-11-05

Primary Outcomes

Primary Outcomes (end points)
a. Whether respondent is currently working as a domestic worker at endline
b. Respondent's monthly earnings from domestic work (in the last month before endline)
c. Respondent's monthly earnings from non-domestic work (in the last month before endline)
d. Number of houses worked for by the respondent as a domestic worker during the past week at endline
e. Respondent's hours spent on paid domestic work during the past week at endline
f. Respondent's hours spent searching for domestic work during the past week at endline
g. Whether respondent is registered on a digital job search platform at endline
h. Whether respondent is an active user of a digital job search platform at endline
i. Whether respondent found at least one job through a digital job search platform during the intervention period
j. Whether respondent has tried to negotiate (salary/ hours/ something else) with an employer during the intervention period
k. Respondent's bargaining power relative to employers / outside option
Primary Outcomes (explanation)
A respondent's/ domestic worker's bargaining power will be measured by her level of agreement with the following three survey questions with regard to her (current/ past) primary employer:
1.If I left this job or if this house let me go, it would be difficult for me to replace this job
2.The people I work for in this house have more say in my compensation than I do
3.The people I work for in this house have more say on my working conditions and hours than I do

Secondary Outcomes

Secondary Outcomes (end points)
The following variables for the respondent will be used as secondary outcomes:
a. Job satisfaction at endline
b. Unmet job needs at endline (i.e., gap between desired and actual attributes of a job)
c. Distance/ commuting time to job at endline
d. Workplace abuse experienced during the intervention period
e. Agency at endline
f. Experience of IPV and spousal control during the last 6 months or intervention period
g. Mental and physical health at endline
h. Social connections (job-related and others) at endline
i. Locus of control at endline
j. Mobile phone ownership at endline
k. Ability/ comfort with mobile phone use at endline
i . Whether respondent has a mobile money account in her name at endline
j. Whether respondent received any payment for domestic work through her mobile money account during the intervention period
m. Whether respondent has a skill certification
n. Whether respondent is a part of a women's group/ union
Secondary Outcomes (explanation)
a. Job satisfaction will be measured by survey items: "How suitable do you feel to do the tasks asked of you by this employer on a scale of 1-10, with 1 being not suitable at all and 10 being very suitable;" agreement with "I am comfortable talking to this home about my professional needs, such as taking breaks and compensation rates;" and agreement with "I am comfortable talking to this home about my personal needs, such as family issues or sickness that interferes with my work", with regard to the primary employer for both current and past domestic workers.
b. Worker unmet need/ preferences refer to the participants' desired number of houses/ employers, desired commute time and work location, and desired number of weekly work hours. We will compare worker reported preferences to worker reported current circumstances in these areas.
c. Commute time measured in minutes
d. Workplace abuse is measured as the experience of verbal, sexual, physical, or economic abuse by an employer within the past 6 months. Economic abuse by an employer is reported as the experience of having salary withheld, asked to leave the job unexpectantly, forced to work more than agreed, or forced to do an activity not in the job description that she did not want to do.
e. Women's agency will be a standardized scale generated from a set of questions on decision-making participation in the home, such as participation in how to spend own earnings.
f. IPV is measured using the DHS intimate partner violence scale as well as a validated partner economic control scale, measuring any experience in the past 6 months.
g. Mental health is captured by a validated stress scale and validated anxiety scale. Physical health is captured by the questions: "In the past 6 months, how has your overall physical health been?" (very poor, poor, ok, good very good), "In the past 6 months, have you had persistent pain anywhere on your body?", and "In the past 6 months, have you experienced any workplace injury related to work activities?"
h. Social connections are measured as the number of friends a woman reports, both overall and in terms of friends she speaks to about job opportunities.
i. Validated 4-item Locus of Control Scale

Experimental Design

Experimental Design
We use a clustered RCT (randomized controlled trial) strategy to identify the causal link between the interventions and outcomes of interest. Our baseline sample comprises 4,391 domestic workers in 238 clusters or "training groups". The unit of observation will be a female domestic worker but randomization will take place at the cluster level. We divide our sample into 4 arms with approximately equal number of groups:

1. Skills training arm
2. App onboarding arm
3. Skills training + App onboarding arm
4. Control arm

Using individual-level regressions, we will estimate intent-to-treat effects as follows:
a. To determine the effect of skills training, we will compare endline outcomes of respondents assigned to the Skills training arm with respondents assigned to the control arm.
b. To determine the effect of app onboarding, we will compare endline outcomes of respondents assigned to the app onboarding arm with respondents assigned to the control arm.
c. To determine the joint effect of skills training and app onboarding, we will compare endline outcomes of respondents assigned to the skills training + app onboarding arm with respondents assigned to the control arm.


Experimental Design Details
Randomization Method
Randomization was conducted using STATA 17.0 in an office. Random assignment of training groups was stratified on neighborhood, training group size, and percent of the group that is currently working as a domestic worker.
Randomization Unit
Training groups
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
238 training groups
Sample size: planned number of observations
4,391 female domestic workers
Sample size (or number of clusters) by treatment arms
61 training groups - Skills training only
59 training groups- Skills training plus app onboarding
57 training groups- App onboarding only
61 training groups- Control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We will be able to achieve MDEs of 0.50 standard deviations for continuous outcomes and 10% for most binary outcomes with a control group of 61 clusters and a treatment group of 57 clusters with a compliance rate of 80%. Given the treatment effects anticipated by our partners, we expect these MDEs to be small enough to capture moderate treatment effects. This power may be improved by using an ANCOVA specification which controls for baseline outcome variables and jointly estimating treatment effects.
IRB

Institutional Review Boards (IRBs)

IRB Name
The Institutional Review Board of the Institute of Health Economics (IHE-IRB), University of Dhaka
IRB Approval Date
2022-07-16
IRB Approval Number
IHE/IRB/DU/26/2022/Final

Post-Trial

Post Trial Information

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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