How do job seekers react to information about wage and job benefits?

Last registered on December 04, 2024

Pre-Trial

Trial Information

General Information

Title
How do job seekers react to information about wage and job benefits?
RCT ID
AEARCTR-0011023
Initial registration date
March 01, 2023

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
March 13, 2023, 8:36 AM EDT

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

Last updated
December 04, 2024, 5:09 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Bocconi University

Other Primary Investigator(s)

PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation

Additional Trial Information

Status
In development
Start date
2023-03-06
End date
2024-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study how job seekers react to information about wages and job benefits using a randomized control trial on a large Swiss online job vacancy platform. By varying the information provided and tracking the behavior of job seekers on the website, we estimate wage elasticities as well as the value of job benefits. In a separate project, we assess the effects of transparency on overall job search and application behavior. We complement the field experiment with a belief-elicitation survey experiment with job seekers recruited on the sample platform.
External Link(s)

Registration Citation

Citation
Beerli, Andreas et al. 2024. "How do job seekers react to information about wage and job benefits?." AEA RCT Registry. December 04. https://doi.org/10.1257/rct.11023-2.0
Experimental Details

Interventions

Intervention(s)
In the field experiment, some of the job seekers who will visit the job vacancy websites managed by our implementing partner will be able to access simple information about wages and job benefits that are associated with the companies posting job ads on the websites.

The belief-elicitation survey experiment replicates a similar intervention to estimate how job seekers' belief are effected by the provision of information.
Intervention (Hidden)
Intervention Start Date
2023-03-06
Intervention End Date
2023-05-31

Primary Outcomes

Primary Outcomes (end points)
The main objective of our experimental design is to measure how much the interest of job seekers in job ads changes as different wage and job benefit information is displayed. The primary outcomes that we use to measure job seekers’ interest in a job ad are
whether the job seeker clicks and opens the webpage associated with the job ad in order to view extra details about the vacancy and about the firm that posted it;
whether the job seeker applies for the job through the platform.

In a separate project, we plan to use our experimental design to measure how transparency about wage and job benefit information affect the search behavior of job seekers on the platform and the characteristics of the jobs they apply for.

The primary outcomes in the belief-elicitation survey experiment are the respondent's beliefs about the wage and benefits associated with each of the job ads that they see.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary outcomes that we plan to use to measure job seekers’ interest in a job ad are:
whether the job seeker clicks and opens the webpage associated with the firm posting the job ad;
whether the job seeker clicks and opens the third-party website displaying reviews (from employees) about of the firm posting the job ad;
whether the job seeker adds the job ad to a watchlist;
whether the job seeker clicks and opens the webpage showing the original job ad on the firm’s website.

The secondary outcomes in the belief-elicitation survey experiment are, for each job ad, the respondent's beliefs about the benefits not displayed, their chance of getting the job had they applied, the workplace atmosphere in the firm, and the wage after five years.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Job seekers who will visit the job vacancy websites managed by our implementing partner will be randomized in different treatment groups, and some of them will be able to access simple information about wages and job benefits that are associated with the companies posting job ads on the websites.
Jobseekers in the control group will not be shown any extra information other than the one typically displayed on the websites.
Other job seekers will instead be able to see information about the wages that companies posting job ads typically pay for given positions. This information is recovered from a third-party website that collects reviews from the employees of those companies. Specifically, in order to generate random variation in the wages shown across treatment groups, some job seekers are shown average wages while others are shown median wages.
On top of wage information, other job seekers will also be able to see information about some of the job benefits that these companies offer. This information is also recovered from the third-party website. In each of these treatment groups, job seekers are given information about the availability of three benefits (for example, in one group they are given information about flexible working hours, home office, and childcare). Job seekers are shown an icon indicating the presence of a given job benefit in a given company only as long as a given percentage of the reviewers on the third indicated the presence of that benefit. Specifically, in order to generate random variation in the benefits shown across treatment groups, some job seekers are shown that a benefit is present as long as at least 20% of the reviewers indicated its presence, while for others we use a threshold of 50%. Across different treatment groups, we provide information about a total of twelve different benefits (although each job seeker is shown only three): flexible working hours, home office, childcare, parking, public transportation, company car, canteen, food allowance, health services, doctor, coaching, and employee events.

In the belief-elicitation survey experiment, job seekers who will visit the job vacancy websites managed by our implementing partner will see a banner that invites them to participate in a survey. Those who click on the banner, are redirected to a Qualtrics survey. Job seekers who consent to participate are asked to indicate the type of job and the region in Switzerland that they are interested in, and in the following page they are shown 8 real job ads (sampled from ads from the field experiment) customized to the preferences that they just expressed, using the same layout as in the platform. For each of the job ads that they see, they are asked to express their beliefs about the wage paid for that position and the benefits available at that firm, and an additional question about their chance of getting the job had they applied, the workplace atmosphere in the firm, and the wage after five years (we randomize which of these three questions we ask).
As in the field experiment, respondents in the control group will not be shown any extra information other than the one typically displayed on the websites. Other respondents will instead be able to see information about the wages and/or benefits available (the same used for these ads in the field experiment). Moreover, in one of the treatment group, we explicitly inform respondents about the source of the information about wages and benefits.
Experimental Design Details
Randomization Method
In the field experiment, the randomization of the job seekers into different treatment groups takes the form of an A/B test conducted with Google Optimize over different variants of the job vacancy platform’s websites.

In the belief-elicitation survey experiment, the randomization is done on Qualtrics.
Randomization Unit
The intended randomization unit for the field experiment is a job seeker. More specifically, the randomization is done using the users’ cookie identifier detected by Google Analytics.

The randomization unit for the belief-elicitation survey experiment is an individual respondent.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
300,000 job seekers for the field experiment

2,000 respondents for the belief-elicitation survey experiment
Sample size: planned number of observations
300,000 job seekers 2,000 respondents for the belief-elicitation survey experiment
Sample size (or number of clusters) by treatment arms
We will run our experiment over the course of three months. Each month, we expect about 100,000 job seekers to participate in the experiment. Each month, we will randomize job seekers into eight equally-sized groups. Treatment groups will change from month to month according to the schedule below.

A) March
1) Control group
2) Average wage group
3) Median wage group
4) Average wage, flexible working hours, home office, childcare (20% threshold) group
5) Average wage, parking, public transportation, company car (20% threshold) group
6) Average wage, canteen, food allowance, coaching (20% threshold) group
7) Average wage, childcare, health services, doctor (20% threshold) group
8) Average wage, flexible working hours, coaching, employee events (20% threshold) group

B) April
1) Control group
2) Average wage group
3) Median wage group
4) Average wage, flexible working hours, home office, childcare (20% threshold) group
5) Average wage, flexible working hours, home office, childcare (50% threshold) group
6) Median wage, flexible working hours, home office, childcare (20% threshold) group
7) Median wage, flexible working hours, home office, childcare (50% threshold) group
8) Childcare, home office, flexible working hours, average wage (20% threshold) group

C) May
1) Control group
2) Average wage, public transportation, canteen, health services (20% threshold) group
3) Average wage, company car, doctor, employee events (20% threshold) group
4) Average wage, childcare, food allowance, employee events (20% threshold) group
5) Average wage, flexible working hours, home office, parking (20% threshold) group
6) Average wage, home office, parking, company car (20% threshold) group
7) Average wage, public transportation, food allowance, health services, (20% threshold) group
8) Average wage, doctor, canteen, coaching (20% threshold) group

We plan to run our the belief-elicitation survey experiment for at least a couple of months. Each month, we expect about 1,000 job seekers to participate in the survey. We will allocate the sample into five treatment groups as follows:
1) 3/7 Control group
2) 1/7 Average wage group
3) 1/7 Flexible working hours, home office, childcare (20% threshold) group
4) 1/7 Average wage, flexible working hours, home office, childcare (20% threshold) group
5) 1/7 Explicit source + Average wage, flexible working hours, home office, childcare (20% threshold) group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
EC Mannheim
IRB Approval Date
2023-02-06
IRB Approval Number
Mannheim: 02/2023

Post-Trial

Post Trial Information

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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