Providing Job-Seekers with Labor Market Information

Last registered on April 16, 2021


Trial Information

General Information

Providing Job-Seekers with Labor Market Information
Initial registration date
April 16, 2021
Last updated
April 16, 2021, 6:00 PM EDT



Primary Investigator


Other Primary Investigator(s)

PI Affiliation
PI Affiliation
PI Affiliation
Université d'Oxford
PI Affiliation
PI Affiliation

Additional Trial Information

In development
Start date
End date
Secondary IDs
Theory suggests that job seekers set the level and direction of their search effort to maximize expected returns in the labor market. Yet this is a complex task as job seekers must process and interpret a large amount of information to form perceptions about the parameters that determine these returns. In addition, the current sanitary crisis may have exacerbated uncertainty about these labor market parameters. In this study we explore if these perceptions are accurate and whether changing perceptions has an impact on job search behavior and job finding. Through a series of survey experiments, we measure baseline beliefs and then experimentally vary the provision of stylized and personalized information on the “true” parameters in a job seeker’s micro market. We then observe the impact of this information on three main outcomes 1. updated beliefs about the local labor market, 2. search behavior 3. employment outcomes.
External Link(s)

Registration Citation

Crépon, Bruno et al. 2021. "Providing Job-Seekers with Labor Market Information." AEA RCT Registry. April 16.
Sponsors & Partners

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

Request Information
Experimental Details


Intervention Start Date
Intervention End Date

Primary Outcomes

Primary Outcomes (end points)
Baseline beliefs on labor market parameters.
Impacts on:
- job search behavior: quantity and timing of search effort and the characteristics of jobs applied to.
- belief updating (follow-up survey).
- general labor market outcomes (unemployment duration and hiring: contract types (temporary or long term), geographic and sectoral mobility)
- take-up of public employment services such as vocational training or financial aid for mobility
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
550,000 job-seekers (registered at Pôle emploi, the French public employment service) are randomized into several treatment or control groups. Control and treated groups are surveyed to collect their beliefs about key parameters of their local labor market. Treated jobseekers are additionally exposed to stylized (charts, text etc...) and personalized (micromarket=profession x local labor market) information at the end of the survey. We separate the treated group into several subgroups that receive different information packages. The information treatments provide distributional moments of wages and tightness and qualitative informationabout mobility along with all pair-wise interactions. The experiment will be implemented from mid-May to end of September 2021.

Using Pole emploi’s rich administrative data and an additional follow-up surveys we analyze the impact of this information on beliefs, job-search behavior and on relevant labor market outcomes.

Experimental Design Details
Not available
Randomization Method
Stratified randomization based on individuals characteristics (unemployment duration, education, micro-market, gender). Randomization will be done on a computer in the offices of the French Public Employment Service.
Randomization Unit
Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters
Sample size: planned number of observations
Sample size (or number of clusters) by treatment arms
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number