Back to History Current Version

Implications of Public Sector Hiring Structures on Private Sector Labor Markets

Last registered on June 08, 2025

Pre-Trial

Trial Information

General Information

Title
Implications of Public Sector Hiring Structures on Private Sector Labor Markets
RCT ID
AEARCTR-0015860
Initial registration date
April 23, 2025

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 30, 2025, 9:05 AM EDT

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

Last updated
June 08, 2025, 1:15 PM EDT

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

Locations

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Primary Investigator

Affiliation
UC San Diego

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2025-04-15
End date
2026-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Public sector jobs are highly sought after in developing countries, with candidates spending years unemployed to compete for them. In India, less than one percent of candidates who compete end up successful, which raises questions about the long-term labor market outcomes of those who don’t make the cut. Using a correspondence study with private sector employers on India’s biggest job platform, this study investigates whether exam preparation has costs in terms of private sector job opportunities for unsuccessful candidates. Findings from this study will highlight the differences in interview callbacks for candidates with a history of preparing for government exams, relative to candidates who have remained in the private sector since graduation. The study will also highlight if the scores in the government exam hold any signal value in the private sector, to inform policy recommendations on making the time spent on exam preparation useful outside of public sector recruitment drives.
External Link(s)

Registration Citation

Citation
Ramesh, Shruthi. 2025. "Implications of Public Sector Hiring Structures on Private Sector Labor Markets." AEA RCT Registry. June 08. https://doi.org/10.1257/rct.15860-1.1
Sponsors & Partners

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
Experimental Details

Interventions

Intervention(s)
Treatment resumes will belong to candidates with a history of government exam preparation after graduating college. The control group comprises candidates who worked in the private sector after graduating college.
Intervention Start Date
2025-06-09
Intervention End Date
2026-03-31

Primary Outcomes

Primary Outcomes (end points)
Interview callback decisions
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The focus of the experiment is on the differential effects of staying unemployed to prepare for government exams relative to working in the private sector after graduation. The study will comprise a large-scale resume experiment. Resumes will vary in whether a candidate reveals a history of preparing for government exams. Callbacks received by candidates with experience preparing for government exams will be compared to callbacks received by candidates who have never prepared for government exams and have worked in the private sector. All other characteristics including gender, religion, school and college quality, academic grades, and extra-curricular activities will be held constant across all resume variants within a job posting.
Experimental Design Details
Not available
Randomization Method
Resumes will be generated using code that will randomly assign candidate characteristics (government vs private sector choice after graduation, years since graduation, government exam score, etc) to each variant. Resumes are generated using the program developed by Lahey and Beasley (2009).
Randomization Unit
Resume
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
500 job ads
Sample size: planned number of observations
9 resumes sent to 500 job ads, resulting in 4500 observations.
Sample size (or number of clusters) by treatment arms
1500 control resumes, 3000 treatment resumes.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of California San Diego
IRB Approval Date
2025-04-18
IRB Approval Number
812431
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information