Lifting constraints for women's career advancement in South Asia

Last registered on April 29, 2026

Pre-Trial

Trial Information

General Information

Title
Lifting constraints for women's career advancement in South Asia
RCT ID
AEARCTR-0018448
Initial registration date
April 22, 2026

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
April 29, 2026, 3:31 PM 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
Texas A&M University

Other Primary Investigator(s)

PI Affiliation
Indian Statistical Institude (ISI) - Delhi
PI Affiliation
Indian Statistical Institude (ISI) - Delhi
PI Affiliation
Texas A&M University

Additional Trial Information

Status
On going
Start date
2024-09-02
End date
2027-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Most of the debate about women’s labor market experience in low-income countries focuses on “jobs,” i.e., occupations characterized by short-term horizons often motivated by the need to alleviate temporary household budget constraints. Policy discussions and workforce programs have largely targeted women’s labor force participation and short-term employment outcomes. This project shifts the focus to “careers,” emphasizing women’s employment in occupations with a long-term perspective that include training, wage growth, and advancement opportunities. In partnership with the H&M Group’s Sustainability Unit, we study the career paths of women employed in export-oriented garment factories in Bangladesh and India, where they comprise the majority of frontline production workers but are severely underrepresented in supervisory and managerial roles. We investigate the drivers of these patterns through a combination of large-scale survey data and a randomized controlled trial. In collaboration with the H&M Group, we design and implement interventions that target both supply- and demand-side constraints to the career advancement of female machine operators in 85 garment production units. On the supply side, we provide a two-day soft-skills training for female workers focused on communication, conflict management, self-efficacy, goal setting, and leadership, complemented by exposure to female role models who have transitioned into supervisory positions. On the demand side, we conduct workshops with managers and supervisors that present evidence from our baseline survey and encourage reflection on gender bias and inclusive promotion practices.
External Link(s)

Registration Citation

Citation
Afridi, Farzana et al. 2026. " Lifting constraints for women's career advancement in South Asia." AEA RCT Registry. April 29. https://doi.org/10.1257/rct.18448-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We implement a factory-level intervention targeting managerial practices related to promotion and career advancement, and a worker-level training intervention targeting female machine operators. In randomly selected factories in Bangladesh and India, sewing department production supervisors and managers participate in a two-hour, on-site workshop. The workshop is designed to address demand-side constraints to women’s career progression. It presents evidence from our baseline survey, conducted in 95 garment factories across India and Bangladesh and covering over 6,000 sewing machine operators. The content focuses on documenting gender disparities in promotions and advancement, highlighting gaps between workers’ aspirations and managerial perceptions, and encouraging reflection on potential biases in promotion decisions. The workshop also includes structured discussions aimed at identifying practical steps to make promotion processes more transparent and equitable within factories. In addition, in each factory assigned to the intervention, we select 10 to 12 female machine operators to participate in a two-day soft-skills training program. Participants are randomly drawn from two sources: workers previously surveyed at baseline and a list of high-potential employees identified by factory management. The training focuses on self-efficacy, goal setting, leadership skills, and includes exposure to female role models who have successfully transitioned into supervisory roles. Control factories do not receive either component during the study period.

Intervention Start Date
2025-10-01
Intervention End Date
2026-02-28

Primary Outcomes

Primary Outcomes (end points)
1) Measures of horizontal and vertical promotions, i.e., promotion in skill level and wage level (shorter-term outcomes), and promotions in role i.e. to assistant supervisor or supervisor (longer-term outcome).
2) Workers’ aspirations for career development and advancement.
3) Workers’ job related goals and initiatives taken toward achieving those goals.
4) Supervisors’ relative assessment of female workers.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
1) Workers’ perceptions of gender bias in evaluations/promotions
2) Workers’ Self-efficacy
3) Workers’ Goal orientation
4) Workers’ Confidence in on-the-job skills
5) Workers’ Emotional well-being
6) Workers and supervisors’ gender attitudes related to factory work
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We implement a factory-level intervention targeting managerial practices related to promotion and career advancement, and a worker-level training intervention targeting female machine operators. In randomly selected factories in Bangladesh and India, sewing department production supervisors and managers participate in a two-hour, on-site workshop. The workshop is designed to address demand-side constraints to women’s career progression. It presents evidence from our baseline survey, conducted in nearly 100 garment factories across India and Bangladesh and covering over 6,000 sewing machine operators. The content focuses on documenting gender disparities in promotions and advancement, highlighting gaps between workers’ aspirations and managerial perceptions, and encouraging reflection on potential biases in promotion decisions. The workshop also includes structured discussions aimed at identifying practical steps to make promotion processes more transparent and equitable within factories. In addition, in each factory assigned to the intervention, we select 12 female machine operators to participate in a two-day soft-skills training program. Participants are randomly drawn from two sources: workers previously surveyed at baseline and a list of high-potential employees identified by factory management. The training focuses on self-efficacy, goal setting, leadership skills, and includes exposure to female role models who have successfully transitioned into supervisory roles. Control factories do not receive either component during the study period. We evaluate the impact of the interventions on measures of career progression, aspirations and soft skills such as self-efficacy and goal orientation.

Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer.
Randomization Unit
Two-stage randomization.
Stage 1: We randomized at the factory level. A total of 27 factories in India and 26 factories in Bangladesh were randomly selected to receive the demand-side intervention (management workshops).
Stage 2: Within treatment factories, we selected 10 to 12 female machine operators to receive the soft-skills training. The selection proceeded in two steps: (1) half of the women were randomly selected from a “talent pool” identified by management; and (2) the remaining half were selected from the women surveyed at baseline using a matching-on-observables protocol designed to identify women similar to those in the talent pool.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
85 factories
Sample size: planned number of observations
The first endline survey will involve approximately 40 female machine operators and 20 male machine operators from each factory in the sample, for a total of 3400 women and 1700 men. We aim to also survey 10 supervisors per factory, for a total of 850 supervisors.
Sample size (or number of clusters) by treatment arms
Below, we detail our target sample. The data collection has not yet started (at the time of this pre-registration).

Treatment Factories: 53 factories, 2120 surveyed women and 1060 surveyed men. The sample of female operators will include all trained women, women surveyed at baseline, and women nominated by management as high potential, whenever possible. The sample of male operators will include a randomly selected subsample of men surveyed at baseline and men nominated by management as high potential.

Control Factories: 32 factories, 1280 surveyed women and 640 surveyed men. The sample of female operators will include women surveyed at baseline, and women nominated by management as high potential, whenever possible. The sample of male operators will include a randomly selected subsample of men surveyed at baseline and men nominated by management as high potential.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Texas A&M Institutional Review Board
IRB Approval Date
2026-06-14
IRB Approval Number
STUDY2024-0364
IRB Name
Indian Statistical Institute
IRB Approval Date
2025-07-29
IRB Approval Number
ISI-IEC/2025/07/01