Implications of Public Sector Hiring Structures on Private Sector Labor Markets

Last registered on December 17, 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
December 17, 2025, 5:26 AM EST

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

Locations

Region

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 resume evaluation experiment with recruiters at a large Indian staffing firm, this study quantifies the social deadweight loss (in terms of foregone earnings) associated with prolonged exam preparation. Findings from this study will highlight how private sector employers evaluate the growing cohort of government job aspirants and will inform 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. December 17. https://doi.org/10.1257/rct.15860-2.0
Sponsors & Partners

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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 (Hidden)
Intervention Start Date
2025-12-15
Intervention End Date
2026-01-31

Primary Outcomes

Primary Outcomes (end points)
Interest in shortlisting the resume (1-10 scale), rating of skills shown in the resume against the job description (1-10 scale), rating of perceived likelihood that the candidate will stay at the firm for at least a year if hired (1-10 scale), and pay conditional on hiring.
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 conducted as face to face interviews with recruiters in a large staffing firm. Resumes will vary in whether a candidate reveals a history of preparing for government exams. Ratings received by candidates with experience preparing for government exams will be compared to ratings 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
Effects for all experiments will be estimated through variation in ratings within a job role (the specification will include recruiter by role FEs) and SEs will be clustered at the recruiter by role level.

Each recruiter sees 5 sets of 6 resumes each, with each set showing different roles (randomly
chosen from list above). Each set is chosen from one of four types:

• Core set: This set shows resumes with private sector experience only or government prep experience only, across three ages (22, 23, 24 years old), yielding a total of 6 resumes. This is the main focus of the project, and aims to understand if resumes showing government exam prep face any benefits or penalties relative to resumes showing only private sector experience, and how these effects change with the number of years spent on exam preparation.

• Mixed set: This set shows three experience types: private sector experience only, government prep only, or a mixed type (government prep with simultaneous private sector work experience). This set only shows two age groups (22 or 24 years old), again yielding a total of 6 resumes. The aim here is to understand if supplementing government exam prep with private sector experience can lead to better private sector outcomes if a candidate chooses to transition into the private sector.

• Silent set: This set again shows three types of candidates: private sector experience only, government prep experience only (explicitly stated), or a resume with an unexplained career gap. This set only shows two age groups (22 or 24 years old), again yielding a
total of 6 resumes. The aim here is to understand if an unexplained career gap in a resume fares better or worse than explicitly stating government prep experience.

• Standard set: In this set, recruiters are shown resumes with only private sector experience, across six experience ranges (1, 2, 3, 5, 7, or 10 years of experience). The aim of this set is to understand the returns to private sector experience across different skill domains in India. This set will also be used to receive manager benchmarking ratings and to calculate incentives for the respondents.


Each recruiter sees three core sets, one standard set, and one of the silent or mixed sets
(chosen randomly), giving a total of 5 sets.



Randomization Method
Resumes will be generated using code that will randomly assign candidate characteristics (government vs private sector choice after graduation, years since graduation, college 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
100 recruiters
Sample size: planned number of observations
30 resumes shown to each recruiter (total of 3000 observations)
Sample size (or number of clusters) by treatment arms
About half of resumes shown will belong to the treatment group (government exam preparation after graduation) and half will belong to the control group (private sector work experience after graduation)
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
IRB Name
University of California San Diego
IRB Approval Date
2025-12-03
IRB Approval Number
813773
Analysis Plan

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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