Tackling Youth Employment through Digital Skills Bootcamps: Experimental Evidence from Peru

Last registered on April 23, 2025

Pre-Trial

Trial Information

General Information

Title
Tackling Youth Employment through Digital Skills Bootcamps: Experimental Evidence from Peru
RCT ID
AEARCTR-0013837
Initial registration date
June 18, 2024

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 25, 2024, 10:35 AM EDT

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

Last updated
April 23, 2025, 4:01 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
University of Cape Town

Other Primary Investigator(s)

PI Affiliation
University College London
PI Affiliation
Inter-American Development Bank

Additional Trial Information

Status
On going
Start date
2022-06-07
End date
2025-05-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Youth unemployment remains a significant challenge in developing countries. Digital bootcamps have emerged as a potential solution, offering intensive, short-term training in advanced digital skills. However, their effectiveness is largely untested. This paper aims to investigate the causal impacts of the Jóvenes Bicentenario program in Peru, which provided free digital skills bootcamps to disadvantaged young individuals. To do so, we utilize an individual-level randomized controlled trial, which was embedded during the applications to the program.

To assess the impacts of the program, we will use government administrative records merged with our experimental sample. Specifically, we will use the Planilla Electrónica (PE), the Peruvian matched employer-employee dataset. The PE is a document that all formal firms in Peru with more than two workers are required to submit. Access to information from the PE is restricted and has been granted with express authorization from the MTPE to identify the impact of Jóvenes Bicentario on formal employment indicators.

However, given the high prevalence of informality in the Peruvian labor market, analyses based solely on these records risk missing informal employment effects and broader livelihood impacts. Furthermore, as administrative data, the PE dataset provides no information on participant experiences of the Jóvenes Bicentario bootcamp, such as satisfaction with the program or perceived value. Therefore, to complement the administrative records, we conducted a phone survey roughly two years after the end of the treatment period. This survey measured participants’ employment, education, and program perceptions.
External Link(s)

Registration Citation

Citation
Freund, Richard, Rafael Novella and David Rosas-Shady. 2025. "Tackling Youth Employment through Digital Skills Bootcamps: Experimental Evidence from Peru." AEA RCT Registry. April 23. https://doi.org/10.1257/rct.13837-2.0
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Experimental Details

Interventions

Intervention(s)
As part of the Jóvenes Bicentenario program, selected participants underwent approximately 400 hours of free digital technical skills training, along with training in employability skills, labor intermediation, and job support. The program offered scholarships for bootcamp courses in advanced digital skills, specifically in web development programming, mobile and game development, data analytics, and digital marketing, growth, and design. All learning was fully online on each training provider’s virtual learning platform, and course completion combined both synchronous and asynchronous components.
Intervention (Hidden)
Intervention Start Date
2022-10-17
Intervention End Date
2023-02-28

Primary Outcomes

Primary Outcomes (end points)
We track study participants’ formal labor market outcomes using government administrative records merged with our sample. Our main outcome variables from the dataset are i) working in a formal job, ii) formal labor income, iii) working in a high-skilled occupation, and iv) working in an entry-level technology job.
Primary Outcomes (explanation)
Formal job: this takes the value of one in each month if the participant appears in the admin dataset. Participants who are not present in the dataset in any given month are assigned a formal employment value of zero.

Formal labor income: this captures the formal income reported for a participant in the admin dataset in each month. Participants who are not present in the dataset in any given month are assigned a formal income value of zero.

High-skill occupation: this uses information on a participant’s reported occupation code. The major occupational groups (at one digit) in the PE dataset are equivalent to the ones of the International Standard Classification of Occupations 2008. This variable takes the value of one in each month if a participant is working in the first, second, or third major occupational group, which includes managers, professionals, and technicians and associative professionals. Participants who are not present in the dataset in any given month are assigned a value of zero.

Entry-level technology occupation: this uses information on a participant’s reported occupation code and takes the value of one if a participant is working in a high skilled, entry level technology job related to the Jóvenes Bicentario training. Specifically, this variable takes the value of one in each month if a participant appears in the admin dataset working as a computer analyst or programmer. Participants who are not present in the dataset in any given month are assigned a value of zero.

Secondary Outcomes

Secondary Outcomes (end points)
In the follow-up phone survey, we are interested in the following key outcome variables: studying status, studying computer-related courses, current work status, having more than one job, self-employed work, dependent work, formal work, informal work, freelance work, total monthly labor income, work that allows flexible hours/working from home, working in a programming or data occupation, using advanced digital skills in work.
Secondary Outcomes (explanation)
Studying computer-related courses: computer-related studying refers to either studying computer science, computer engineering, or AI and big data at a university, or studying a programming/data analysis course at a non-university higher education institution.

Experimental Design

Experimental Design
The experimental design followed an oversubscription model, whereby the program sought to attract a pool of eligible applicants that was greater than the capacity of the 1,000 vacancies reserved for evaluation. Applicants who met the minimum eligibility criteria were invited to take a competency test. The MTPE provided lists of all eligible applicants who successfully completed the competency test to the training providers, who then conducted their own selection tests. After these tests, the training providers returned a list of applicants who were fully eligible for the program—those who met the minimum eligibility criteria, satisfactorily completed the competency test, and passed the minimum scores required by the training provider selection tests. From this sample, eligible applicants were randomly assigned to receive training or not.
Experimental Design Details
Randomization Method
Randomization done in office by a computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1,766 individuals
Sample size: planned number of observations
1,766 individuals
Sample size (or number of clusters) by treatment arms
665 individuals control, 1,000 individuals treatment, and 101 individuals on a waiting list.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number

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