Worker Sorting and Gender-Inclusive Language in Job Ads

Last registered on January 27, 2025

Pre-Trial

Trial Information

General Information

Title
Worker Sorting and Gender-Inclusive Language in Job Ads
RCT ID
AEARCTR-0015209
Initial registration date
January 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
January 27, 2025, 5:44 AM EST

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

Last updated
January 27, 2025, 6:20 AM EST

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

Locations

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Primary Investigator

Affiliation
Bank of England

Other Primary Investigator(s)

PI Affiliation
Cornell University
PI Affiliation
Wissenschaftszentrum Berlin für Sozialforschung and IAB
PI Affiliation
Indeed Hiring Lab and Regent's Park College, University of Oxford
PI Affiliation
Princeton

Additional Trial Information

Status
In development
Start date
2025-01-22
End date
2026-01-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We describe a survey-based discrete choice experiment in which respondents are asked to choose between job ads with exogenously varying attributes, following a similar setup as Maestas et al. (2023) and Nagler et al. (2023). The aim of this experiment is to estimate willingness to pay for a range of non-monetary attributes including workers’ preference for non-binary gender-inclusive language (NB-GIL). We also elicit respondents’ political beliefs, labour market and demographic characteristics. In this pre-analysis plan, we describe the experimental setup, our estimation of willingness to pay for job attributes, and our broad empirical strategy for testing the interaction between workers’ preferences and their political opinions and characteristics.
External Link(s)

Registration Citation

Citation
Adrjan, Pawel et al. 2025. "Worker Sorting and Gender-Inclusive Language in Job Ads ." AEA RCT Registry. January 27. https://doi.org/10.1257/rct.15209-1.1
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
We collect data in an online survey-based discrete choice experiment in which respondents are asked to choose between job ads with exogenously varying attributes, following a similar setup as Maestas et al. (2023) and Nagler et al. (2023).

We study:
(i) whether job-seekers have any preferences over non-binary gender-inclusive language (NB-GIL) in vacancy postings
(ii) if yes, what is the willingness to pay to work for an employer that includes NB-GIL in their job ads
(iii) what worker or job characteristics drive these preferences

NB-GIL is not a standard job attribute (such as job flexibility or remote work that have been studied in the literature) but primarily a signal about the firm. As a result, we don’t ask about it directly in the experimental part of our survey, and include randomization whenever respondents come into contact with NB-GIL in our survey instructions.

We incentivize the survey by providing the respondents with non-public information from an online job board about wages and job attributes of recent vacancies based on their answers in the survey. We inform respondents about this reward at the start of the survey, which provides additional incentives to fill the survey accurately.
Intervention Start Date
2025-01-22
Intervention End Date
2025-02-15

Primary Outcomes

Primary Outcomes (end points)
(1) Individual preferences over characteristics of job vacancies, including wage and NB-GIL language
Primary Outcomes (explanation)
(1) Individual preferences over characteristics of job vacancies:
(i) wage (drawn from a uniform distribution from -20% to +30% compared to average wages in this occupation based on real wage data from the online job board Indeed Germany)
(ii) NB-GIL language (binary)
(iii) number of vacation days (24, 26, 28, 30, 32)
(iv) flexible working (binary)
(v) subsidized lunch (binary)
(vi) free public transport ticket (Deutschlandticket) (binary)

We will measure these from stated preferences in our discrete choice experiment.

Secondary Outcomes

Secondary Outcomes (end points)
(1) Individual perceptions of employers offering NB-GIL
(2) Individual opinions on a range of political issues
Secondary Outcomes (explanation)
(1) Individual perceptions of employers offering NB-GIL, measured as share of respondents who believe an employer that uses NB-GIL in a job ad :
(i) is young and dynamic
(ii) offers better perks and benefits
(iii) provides a more international work environment
(iv) has more women and minorities in leadership roles
(v) hires workers regardless of their political opinions and beliefs
(vi) is less focused on profits
(vii) offers meaningful work


We also ask respondents about their perceived chances to get a job offer by such a firm.

(2) Individual opinions on a range of political issues, measured as share of respondents who believe:
(i) In Germany, you can no longer express your opinion freely
(ii) Refugees only come to Germany to take advantage of our welfare state.
(iii) Women still face discrimination in the labor market and in the society.
(iv) Law enforcement is too lax when it comes to prosecuting climate protesters, such as "Last Generation".
(v) The elderly generation lives at the expense of the young.
(vi) It's important to use gender-inclusive language.

Individual perception of their political views, measured as a number on 0-100 scale for left- vs right-leaning.

Voting intentions for the next election, measured as share of respondents choosing one of 7 leading German political parties

Experimental Design

Experimental Design
The discrete choice experiment presents the respondent 7-8 pairs of hypothetical job vacancies and asks the respondent to choose which one they prefer more from each pair. The presented vacancies randomly vary any of the 6 dimensions listed in part (1) of question 3 above (all positions are indicated to be full-time). In particular, the random variation in wage allows us to estimate the willingness to pay (WTP) for these amenities listed in job ads. The job title and wage of the vacancies presented to each individual depend on their occupation and preferred job title, which the respondent chooses at the start of the survey.

In addition, we assign the respondents to 6 orthogonal treatment arms:
information about the content of vacancy postings: we show all respondents two postings to demonstrate what to expect in the experiment
(1) Vacancy with NB-GIL language shown first, then vacancy without NB-GIL language
(2) Vacancy without NB-GIL language shown first, then vacancy with NB-GIL language

Questions about perceptions about employers offering NB-GIL: respondents are asked to give their opinion about a hypothetical employer based on a shown vacancy posting
(1) Vacancy with NB-GIL and all amenities (lunch, Deutschlandticket, flexible work)
(2) Vacancy without NB-GIL and all amenities (lunch, Deutschlandticket, flexible work)
(3) Vacancy with NB-GIL and no amenities
(4) Vacancy without NB-GIL and no amenities

The respondents are also asked standard questions about their demographic characteristics and political opinions. We ask the respondents how they search for jobs to be able to match the results of our experiment to observational data on revealed preference for NB-GIL from an online job board.

The survey is incentivised: at the end of the survey, we display information about average pay and job attributes based on respondents’ answers. This information is taken from online job board Indeed.com and is not publicly available, and thus acts as an incentive for the respondent to fill the survey accurately.
Experimental Design Details
Not available
Randomization Method
Randomization done by a computer
Randomization Unit
Individual (choice between two job ads)
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
6000 individuals
Sample size: planned number of observations
Between 42,000 - 48,000 hypothetical choices. The exact number depends on the occupations selected by the respondents. Note that answers by170 resondents have been collected already as a part of piloting the study. We will pool this data with that from the pre-registered survey if the design survey doesn’t change substantially. We will separately present results from the pooled and pre-registered-only data.
Sample size (or number of clusters) by treatment arms
Between 7,000 and 8,000 observations within each treatment arm.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We cannot provide minimum detectable effect sizes because we are the first to estimate the willingness to pay for the specific politically-charged language. However, our expriment setup is similar to Nagler et al. (2023) who ran similarly-sized experiments of 3,000 respondents. Our sample size is somewhat larger because preferences over specific language is likely to be more heterogeneous across groups of workers and we are interested in documenting this heterogeneity.
IRB

Institutional Review Boards (IRBs)

IRB Name
MIT Committee on the Use of Humans as Experimental Subjects
IRB Approval Date
2024-05-15
IRB Approval Number
E-5800
Analysis Plan

Analysis Plan Documents

Pre-analysis plan

MD5:

SHA1:

Uploaded At: January 27, 2025