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

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 16, 2021, 6:00 PM EDT

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



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.
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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
We first isolate micro-markets to be include in the experiment. These markets will be selected based on the availability of reliable information to create the information packages. We will have 9 treatment arms that correspond to different the information packages and 2 control groups:

1. Wages in the jobseeker's declared sector, locality and experience
2. Labor market tightness for the jobseeker's declared sector, locality and experience
3. 1+2
4. 1 + sectoral mobility information
5. 2 + sectoral mobility information
6. 1 + geographic mobility information
7. 2 + geographic mobility information
8. 1 + sectoral mobility + geographic mobility
9. 2 + sectoral mobility + geographic mobility
10. Information impact control group
11. Survey response control group

Then within the micro-markets in which jobseekers are eligible to receive the survey, we stratify our sample (by micro-market, unemployment duration, education and gender) and randomly assign 550k individual jobseekers within strata with probability 1/11 to groups 1 to 11 to obtain roughly 50,000 jobseekers in each of the 9 treatment arms and 2 control groups. The “information control group” (10) receives a questionnaire but none of the information treatments. The “survey response control group” (11) receives neither the survey nor the information treatment. This group is used to control for possible survey response effects (H0: impact 10 – 11 = 0) using exhaustive administrative data.

We expect to have a response rate of around 10% to the survey with little differential attrition by treatment status. Hence we will have roughly 5,000 respondent in each treatment arm (1-9) and the information control group (10). We thus measure intention to treat effects (ITT) on the entire sample and average treatment effects (ATEs) on the "compliers" of survey respondents.

A primary goal of the survey is to first elicit each jobseeker's beliefs about the key labor market parameters that, as benchmark theory tells us, determine the (expected) returns to job search effort. This allows us to construct a key dimension of heterogeneity through which we will examine treatment effects: Does information provision have different impacts on those who hold accurate versus those that hold inaccurate priors about moments of the wage distribution, job finding probability/competition and opportunities in other sectors and/or localities?

We use the rich administrative data made available by the public employment service (PES) to track job search effort and job finding results. These data also allow us to see the characteristics of the jobs that individuals apply to (sector, initial wage offer, contract type, experience, location and qualification) as well as job finding rates, type of contract and location of eventual job. We can also track data on jobseeker vocational training and financial aid undertaken through the PES.

We will conduct a short follow-up survey in Fall 2021 to re-measure beliefs to provide evidence on the efficacy of the information treatment and potentially collect additional data that we believe might be important following analysis of the initial survey results and treatment impacts.

Finally, we also create an additional “super control group” by randomizing sampled micro-markets before the individual level random assignment. We do this to be able to partial out any significant equilibrium effects of the experiment as a whole. Though this is a "light treatment" and is not expected to cause measurable externalities on non treated/surveyed jobseekers, we nevertheless want to give ourselves the possibility for a robust analysis of aggregate treatment effects. No action will be taken towards this super control group.

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


Post Trial Information

Study Withdrawal

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Is the intervention completed?
Data Collection Complete
Data Publication

Data Publication

Is public data available?

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials