Employer Quality and Information Frictions in Spot Labor Markets: Evidence from India

Last registered on August 25, 2025

Pre-Trial

Trial Information

General Information

Title
Employer Quality and Information Frictions in Spot Labor Markets: Evidence from India
RCT ID
AEARCTR-0016337
Initial registration date
August 20, 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
August 25, 2025, 8:38 AM 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
Cornell University

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2025-08-25
End date
2026-05-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Labor markets in developing countries are often characterized by high worker turnover, absenteeism, and short-term informal contractual work, reducing productivity. One reason for this high level of churn could be substantial variability in employer maltreatment of workers, ranging from late payments to verbal abuse. Why might this poor treatment persist? Using field experiments with workers in spot labor markets in Chennai, India, I ask if workers – counterintuitively – refrain from sharing information on employer behavior. Building on pilot data suggesting low information sharing, I will also explore potential reasons for the lack of information flow including weak signals, fear of backlash from employers, or reticence to share information believing it is in the best interest of fellow workers.
External Link(s)

Registration Citation

Citation
Kapoor, Vrinda. 2025. "Employer Quality and Information Frictions in Spot Labor Markets: Evidence from India." AEA RCT Registry. August 25. https://doi.org/10.1257/rct.16337-1.0
Experimental Details

Interventions

Intervention(s)
First, the study establishes that workers in low-wage, unskilled labor markets have preferences over employer quality and workplace amenities such as respect and dignity, even at the cost of higher wages. To test this, I conduct an incentive-compatible choice experiment in which workers select between contracts with higher- and lower-rated employers offering varying wage levels. Building on promising pilot data suggesting low information sharing, I then explore potential reasons for the lack of information flow including weak signals, fear of backlash from employers, or reticence to share information believing it is in the best interest of fellow workers. I do this by studying how workers share information on employer quality by randomizing the type of information being shared and the characteristics of the receiving worker under anonymous and non-anonymous settings. Lastly, I study what is the demand for consolidated scorecards on employer quality and behavior among workers.
Intervention Start Date
2025-09-01
Intervention End Date
2025-12-31

Primary Outcomes

Primary Outcomes (end points)
Willingness to pay for non-wage amenities at the workplace (via working for a higher-rated employer), sharing information on employer quality with peers under various settings, demand for information on employer quality
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
I plan to enroll around 500 casual daily wage workers across labor stands in Chennai, India. Workers are asked to rate employers they have previously worked with on dimensions such as timely payment, respectful communication, micromanagement, provision of meals or transportation, and feelings of respect at the workplace. First, the study establishes that workers in low-wage, unskilled labor markets have preferences over employer quality and workplace amenities such as respect, even at the cost of higher wages. To test this, I will conduct an incentive-compatible choice experiment in which workers select between contracts with higher- and lower-rated employers offering varying wage levels. This approach tests whether workers are willing to forgo higher wages to avoid employers perceived as "bad" (lower rated by fellow workers at the stand).

Once worker preferences are established, the project examines the flow of information about employer quality within labor stands.

H1: Workers are less likely to share negative experiences with employers than positive ones. To test this hypothesis workers are asked to recall either a positive or negative experience (the balance is randomized) with an employer and decide whether to share it with a peer outside their social group. First, I ask if the worker would like to share information with the assigned peer. For respondents, who say no, I ask them to indicate their willingness to accept (WTA) payment to share this information. My hypothesis predicts that negative information will be less frequently shared due to potential social or professional consequences.

I then run experiments to test the reasons behind asymmetrical flow of information at the stand:

H2: Workers fear retaliation from employers for sharing negative information. This hypothesis examines the role of anonymity in information sharing. The randomization described in H1, will be cross randomized with anonymity of the disclosing worker to test this hypothesis. If workers are reluctant to share negative experiences when their identity is disclosed, it suggests a fear of employer retaliation.

H3: Workers avoid sharing negative information because they are looking out for fellow workers. To test this, I rely on the variation in willingness to disclose positive versus negative information for workers who are identifiable and further randomly vary whether the worker receiving the information has received an economic shock in recent times. Workers are asked whether they would share negative or positive information (the balance is randomized) about an employer with a peer who has undergone an economic shock versus a peer where I provide no such information. The hypothesis predicts that altruistic motives may prevent workers from sharing negative information if it could discourage peers, particularly those in vulnerable situations, from pursuing available jobs.

H4: Workers avoid sharing negative information because they interpret their own signal as weak (i.e. workers may have different perceptions of employer quality). To explore this channel, I ask workers to share information about employer behavior that they have either experienced themselves, or our research team collected at an aggregate level from the stand. I conduct this experiment under both anonymous and non-anonymous settings, and believe that if workers worry about their own signal as being misinterpreted then they would be more willing to share aggregated information on an employer and not their own personal experiences.
Experimental Design Details
Not available
Randomization Method
Randomization will be conducted in office by a computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
15 labor stands, 500 workers
Sample size: planned number of observations
15 labor stands, 500 workers total
Sample size (or number of clusters) by treatment arms
This is not an RCT, but rather a survey experiment. The total study sample is 500 workers who will be randomly assigned into one of the four arms under each of the four hypothesis (that is, for each hypothesis, they will be re-randomized into one arm)

H1: Workers are less likely to share negative experiences with employers than positive ones.
Each participant will be randomly assigned to one of each arms: sharing positive information non-anonymously, sharing negative information non-anonymously, sharing positive information anonymously, and sharing negative information anonymously with a peer outside of their friend group. Each group will have roughly 125 participants.

H2: Workers fear retaliation from employers for sharing negative information.
Same assignment as H1

H3: Workers avoid sharing negative information because they are looking out for fellow workers.
Each participant will be randomly assigned to one of each arms: sharing positive information non-anonymously with a peer who has experienced an economic shock, sharing negative information non-anonymously with a peer who has experienced an economic shock, sharing positive information non-anonymously with a peer who has not experienced an economic shock, and sharing negative information non-anonymously with a peer who has not experienced an economic shock. Each group will have roughly 125 participants.

H4: Workers avoid sharing negative information because they interpret their own signal as weak.
Each participant will be randomly assigned to one of each arms: sharing negative information non-anonymously, sharing negative information anonymously, sharing aggregated information on an employer non-anonymously, sharing aggregated information on an employer anonymously with a peer outside of their friend group. Each group will have roughly 125 participants.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Cornell University
IRB Approval Date
2025-07-30
IRB Approval Number
IRB0149815
IRB Name
Institute for Financial Management and Research
IRB Approval Date
2025-08-04
IRB Approval Number
N/A