Prevalence and potential determinants of unregistered work in Germany – Evidence from a double-list experiment

Last registered on January 03, 2023

Pre-Trial

Trial Information

General Information

Title
Prevalence and potential determinants of unregistered work in Germany – Evidence from a double-list experiment
RCT ID
AEARCTR-0009284
Initial registration date
April 21, 2022

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 28, 2022, 5:53 PM EDT

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

Last updated
January 03, 2023, 9:03 AM EST

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

Locations

Region

Primary Investigator

Affiliation
University of Mannheim

Other Primary Investigator(s)

PI Affiliation
Institute for Employment Research
PI Affiliation
University of Basel, Amazon.com

Additional Trial Information

Status
In development
Start date
2022-05-01
End date
2023-02-28
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Unregistered work harms society and exposes individuals to exploitative work conditions. Due to its illegal nature, however, its size and determinants are difficult to study. In this project, we aim to identify the share of residents in Germany that worked without registration at least once in 2021. We implement a double list experiment in three different samples of the German population: Natives, migrants, and refugees. The implementation of a list experiment in these different samples allows us to compare the occurrence of informal employment across parts of the German population that differ in their demographics, socio-economic backgrounds, and labor market experiences. The list experiment also gives us the opportunity to identify population characteristics that are associated with unregistered work. The results will provide important insights into the mechanics of unregistered work and valuable starting points for a refined discussion of policy measures to combat this phenomenon.
External Link(s)

Registration Citation

Citation
Sajons, Christoph, Annabelle Doerr and Ehsan Vallizadeh. 2023. "Prevalence and potential determinants of unregistered work in Germany – Evidence from a double-list experiment." AEA RCT Registry. January 03. https://doi.org/10.1257/rct.9284-1.1
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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-05-01
Intervention End Date
2023-02-28

Primary Outcomes

Primary Outcomes (end points)
The primary outcome in our study is the share of respondents (and certain relevant subgroups of respondents) with experience of unregistered work.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The implementation of list experiments critically relies on the random assignment of respondents into treatment and control group. The control group is confronted with a list of non-sensitive items that represent general situations at the labor market that respondents might have experienced. The treatment group faces the same list plus the sensitive item of interest, here, the experience of having worked without registration at least once in 2021. In both groups, the participants do not have to state which of the items they have experienced already, only how many in total. From the comparison of mean counts and the joint distribution of answers in each group, we can infer the share of respondents who experienced unregistered work in 2021. To increase the robustness of our findings we implement a double list experiment. That is, we run two list experiments with slightly different, but thematically coherent content in the non-sensitive items, the same sensitive item, and a switch of treatment and control groups between experiment 1 and 2.
Experimental Design Details
In the first list experiment we focus on experiences on the German labor market in 2021. The treatment and control groups are confronted with the following items:

(1) Control group: 4-items related to general situations on the labor market
o receiving a higher salary
o not having searched for a job
o having searched for a (new) job
o learned new skills

(2) Treatment group: same 4 items + sensitive item: worked in a job without registration

In the second list experiment we focus on employment-related experiences in 2021. The treatment and control groups are confronted with the following items:
(1) Control group: 4-items related to general situations on the labor market
o Not being employed the whole year
o Worked in job that required skill updating or training
o Worked in a job that was physically or mentally burdensome
o Worked in a job that required (temporarily) working from home

(2) Treatment group: same 4 items + sensitive item: worked in a job without registration

In list experiments, survey participants in both groups (treatment and control group) report one number as outcome. This number is the total count of items they have experienced. In our list experiments, we present them with four non-sensitive control items and one sensitive item. Thus the total counts (outcomes) for the participants in the control group Y0 can range between 0-4, and in the treatment group Y1 between 0-5. The difference in the means between the average counts in the treatment and controls groups identify the share of respondents with experience of unregistered work in both list experiments. If the experimental design is robust, we should observe the same share in both list experiments.
Randomization Method
Computer-based randomization implemented in the survey tools.
Randomization Unit
Individual
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
We plan to run the list experiment in three different samples of the population (natives, migrants, refugees). Thus, we will have three clusters.
Sample size: planned number of observations
We aim for roughly 11.000 survey participants in total (5.000 German, 3.000 migrants, 3.000 refugees).
Sample size (or number of clusters) by treatment arms
For each cluster, we aim at having roughly the same number of respondents in control and treatment group.

That is: We plan to have 5,500 respondents on both sides.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Commission of the University of Mannheim
IRB Approval Date
2022-04-15
IRB Approval Number
7-Z/2022

Post-Trial

Post Trial Information

Study Withdrawal

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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