New forms of work and workers’ demand for security and stability

Last registered on September 17, 2024
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Pre-Trial

Trial Information

General Information

Title
New forms of work and workers’ demand for security and stability
RCT ID
AEARCTR-0013087
Initial registration date
September 16, 2024

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
September 17, 2024, 1:50 PM EDT

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

Locations

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Primary Investigator

Name
Wojciech Szymczak
Affiliation
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Other Primary Investigator(s)

PI Name
Piotr Lewandowski
PI Affiliation
Institute for Structural Research
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PI Name
Zuzanna Kowalik
PI Affiliation
Institute for Structural Research
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PI Name
Karolien Lenaerts
PI Affiliation
KU Leuven
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PI Name
Laurène Thil
PI Affiliation
KU Leuven
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PI Name
Jakob Schmidhäuser
PI Affiliation
ZEW
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PI Name
Cristiano Perugini
PI Affiliation
Università degli Studi di Perugia
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PI Name
Holger Stichnoth
PI Affiliation
ZEW
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PI Name
Alexandre Gnaedinger
PI Affiliation
ZEW
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PI Name
Fabrizio Pompei
PI Affiliation
Università degli Studi di Perugia
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Additional Trial Information

Status
In development
Start date
2024-09-10
End date
2025-07-01
Keywords
Behavior, Labor, Welfare
Additional Keywords
willingness-to-pay, discrete choice, gig workers
JEL code(s)
J22, J32, M52, C35
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Digital technologies contribute to the growth of new forms of work such as platform jobs and gig economy, which are often performed by workers who lack safety nets that cover traditional jobs. We will study which welfare state provisions and which facets of social security are most valued by these workers. To this aim, we will conduct stated-preference (willingness-to-pay) field experiments in eight countries with different institutional settings - Poland, Italy, Germany, Belgium, Spain, France, the Netherlands and Austria - to understand which provisions are the most valued but not available currently.
External Link(s)

Registration Citation

Citation
Gnaedinger , Alexandre et al. 2024. "New forms of work and workers’ demand for security and stability." AEA RCT Registry. September 17. https://doi.org/10.1257/rct.13087-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
The study will apply a Discrete Choice Experiment to measure platform workers' willingness to pay for non-monetary work benefits. During the experiment, respondents will receive two job offers, which will differ in pay and benefits eligibility. The results of the experiments will be combined with information on individual risk aversion and time discounting to analyze whether these characteristics affect the preferences for the benefits.
Intervention Start Date
2024-10-01
Intervention End Date
2025-06-01

Primary Outcomes

Primary Outcomes (end points)
Willingness to pay (WTP) for non-monetary work benefits
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study will be based on the Internet survey (CAWI). The survey is divided into three parts. The first covers basic sociodemographic information about participants and their work experience in the platform economy. The second part identifies respondents' risk aversion and time discounting preferences. In the third part, we present five choice tasks (paired profiles vignettes) between two hypothetical offers in the platform economy. The displayed job offers will differ regarding access to sick pay, paid leave, and wages.
Experimental Design Details
Not available
Randomization Method
The choice sets will be assigned randomly.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
No clusters planned.
Sample size: planned number of observations
1000
Sample size (or number of clusters) by treatment arms
1000 observations
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
KU Leuven
IRB Approval Date
2024-09-04
IRB Approval Number
G-2024-8262-R2(MIN)
Analysis Plan