Directing job search: a large scale experiment
Last registered on March 31, 2020

Pre-Trial

Trial Information
General Information
Title
Directing job search: a large scale experiment
RCT ID
AEARCTR-0005614
Initial registration date
March 29, 2020
Last updated
March 31, 2020 3:17 PM EDT
Location(s)

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Primary Investigator
Affiliation
Paris School of Economics - INRA
Other Primary Investigator(s)
PI Affiliation
Paris School of Economics
Additional Trial Information
Status
On going
Start date
2019-11-19
End date
2024-07-31
Secondary IDs
Abstract
Using "La bonne boîte", a French online job search assistance service that aims at helping unemployed job seekers to locate hiring establishments, we investigate the impact of targeted job search recommendations on the job finding rates of job seekers,the job filling rate of establishments and the potential reduction in occupational mismatch at the commuting zone level
External Link(s)
Registration Citation
Citation
BEHAGHEL, Luc and Marc GURGAND. 2020. "Directing job search: a large scale experiment." AEA RCT Registry. March 31. https://doi.org/10.1257/rct.5614-1.0.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-11-19
Intervention End Date
2022-07-31
Primary Outcomes
Primary Outcomes (end points)
Job finding rates
Job filling rates
Wages
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
In the first phase of the project, we conduct a two-sided randomized experiment involving about 1.2 million job-seekers and 40,000 establishments, in 94 commuting zones in France (about one fourth of the French labor market).
On the business-as-usual mode, the LBB website directs each job-seeker toward a list of firms most likely to hire him according to the location and occupation criteria he enters. During the experiment, while the platform remains available to all, we introduce two experimental treatments. First, we randomly select a subset of firms among those short-listed by the LBB algorithm. During four weeks, those “treated” firms are displayed in priority in response to job-seekers’ requests on the website, while the remaining “control” firms are not displayed (or displayed at the bottom of the list if there are too few treated firms satisfying the search criteria). Second, we randomly draw two thirds of the 1.2 million job-seekers to receive two or four emails pushing the LBB service, with specific recommendations toward up to eight of the treated firms.
Experimental Design Details
Not available
Randomization Method
In office by a computer.
Randomization Unit
Two-sided randomization: Establishments and job-seekers
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
No clustering
Sample size: planned number of observations
1.2 million job-seekers. 40,000 establishements.
Sample size (or number of clusters) by treatment arms
2/3 treated
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Paris School of Economics IRB
IRB Approval Date
2019-11-12
IRB Approval Number
2019 022