Job Search, Employment and Skilling in the Digital Age

Last registered on January 09, 2024

Pre-Trial

Trial Information

General Information

Title
Job Search, Employment and Skilling in the Digital Age
RCT ID
AEARCTR-0012778
Initial registration date
January 05, 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
January 09, 2024, 10:53 AM EST

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
Indian Statistical Institute (Delhi)

Other Primary Investigator(s)

PI Affiliation
Indian Statistical Institute (Delhi)
PI Affiliation
Indian Statistical Institute (Delhi)

Additional Trial Information

Status
On going
Start date
2023-05-01
End date
2025-11-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
There is a dire need for expanding employment opportunities for populations in low-income settings, who exhibit low rates of labor force participation and high levels of precarious, informal work. Leveraging the spread of technology, digital labor platforms have the potential to improve labor market outcomes by embedding skilling, addressing information asymmetries, and enabling more efficient matching of workers and jobs at scale, while significantly reducing job search costs. Given gendered barriers to work participation – such as women’s domestic burden and lower mobility – the flexible nature and location of platform work holds the promise of benefiting women, in particular. We design a cluster-randomized intervention in India’s capital Delhi to ease search and employment frictions by offering young men and women information on the potential of job matching platforms, including up-skilling, along with assistance with digital job search. We study the impact of the intervention on the job search behavior, skilling, employment, and any gender differences therein.
External Link(s)

Registration Citation

Citation
Afridi, Farzana, Soubhagya Sahoo and Nikita Sangwan. 2024. "Job Search, Employment and Skilling in the Digital Age." AEA RCT Registry. January 09. https://doi.org/10.1257/rct.12778-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Our baseline data consist of a sample of over 3000 men and women, surveyed between May and August 2023. We randomize our intervention at the cluster level, where a cluster is defined as the polling station. 130 clusters are randomized into three groups–

(1) T1, in which we offer in-person information and assistance on job search/skilling via digital resources plus up to 6 general/non-personalised phone messages to increase usage of digital platforms (44 clusters).

(2) T2, in which we provide the same in-person information and assistance (as in T1) plus up to 6 personalised phone messages based on job preferences, education and other characteristics measured at baseline (44 clusters) .

(3) Control group, which gets neither the in-person information and assistance nor the phone messages (42 clusters).
Intervention Start Date
2023-09-15
Intervention End Date
2024-02-29

Primary Outcomes

Primary Outcomes (end points)
(1) Job search behavior
Y1: Searched/applied for job (any method)
Y2: Searched/applied for job using digital/online platforms
Y3: Proportion of job search/application (in terms of time or expenses) using digital sources

(2) Skilling and up-skilling behavior
Y1: Enrolled or completed any (up)skilling program
Y2: Enrolled or completed any (up)skilling via digital platforms

(3) Employment outcomes
Y1: Current employment status (0/1)
Y2: Number of hours worked in a day
Y3: Number of days worked in a week/month
Y4: Monthly earnings (Rs.)
Y5: Current occupation category (e.g. salaried, self-employed, casual)
Primary Outcomes (explanation)
from survey data

Secondary Outcomes

Secondary Outcomes (end points)
1. Probability of being registered on a(ny) digital platform
2. Probability of being enrolled in an educational institution (other than skill training)
3. Enrolled or completed by type of (up)skilling via digital platforms
4. Impact of phone messaging on job search behavior, job applications and (up)skilling on collaborating digital platform.
5. Number of all job offers received (via digital/non-digital sources)
6. Proportion of jobs offered that were accepted
7. Source of current job (through online or offline search; through collaborating platform or otherwise)
Secondary Outcomes (explanation)
from survey and platform data

Experimental Design

Experimental Design
We utilize a cluster random sampling technique to sample households across six districts of Delhi. First, drawing on data from the State Election Commission, we sample 15 assembly constituencies (ACs) across the six districts. 130 randomly selected polling stations within the sampled ACs form our primary sampling units or clusters. From each of these polling stations, 25-28 households are selected randomly for the survey. Households with a member aged between 18-40 years, willing to participate in the labor market, with an education level above grade 12, and with access to a smartphone are considered eligible for the survey.

Our baseline data consist of a sample of over 3000 men and women, surveyed between May and August 2023. We randomize our intervention at the cluster level, where a cluster is defined as the polling station. 130 clusters are randomized into three groups–

(1) T1, in which we offer in-person information and assistance on job search/skilling via digital resources plus up to 6 general/non-personalised phone messages to increase usage of digital platforms (44 clusters).

(2) T2, in which we provide the same in-person information and assistance (as in T1) plus up to 6 personalised phone messages based on job preferences, education and other characteristics measured at baseline (44 clusters) .

(3) Control group, which gets neither the in-person information and assistance nor the phone messages (42 clusters).

The in-person information session will consist of explanations of the benefits of digital job search platforms in obtaining information for preferred job vacancies and reducing search costs, how to register and develop a profile on a job search platform, opportunities for up-skilling on the platform, and how to search for preferred jobs on the platform. This will be followed by 6 phone messages (both text and WhatsApp) sent at intervals of about 10 days each (beginning with approximately 10 days after the in-person intervention session). These messages will aim to nudge towards registration of individuals on our collaborating digital portal, provide information on benefits of skilling and opportunities for up-skilling on digital platforms.

We collaborate with a Mobile App & Web based job aggregation platform that advertises job openings, matches job seekers with employers and also provides opportunities for up-skilling. We intend to implement the intervention between September, 2023 and February, 2024.

To measure the change in the employment status and nature of work by the respondent we will conduct two follow-up surveys, approximately 6 months and 12 months, respectively, after the in-person information session. We will also utilize platform data at the individual level that we obtain on our sample of respondents who register on the collaborating digital platform.
Experimental Design Details
Not available
Randomization Method
randomization done in office by a computer
Randomization Unit
polling station
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
130
Sample size: planned number of observations
3000 individuals
Sample size (or number of clusters) by treatment arms
1000 individuals (more than 40 clusters) per arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Institution for Financial Management and Research (IFMR)
IRB Approval Date
2023-04-28
IRB Approval Number
N/A
Analysis Plan

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