An online experiment on attitudes towards temporary protection of refugees and helping behaviors in the EU

Last registered on July 12, 2022

Pre-Trial

Trial Information

General Information

Title
An online experiment on attitudes towards temporary protection of refugees and helping behaviors in the EU
RCT ID
AEARCTR-0009682
Initial registration date
July 11, 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
July 12, 2022, 10:43 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
European Commission's JRC

Other Primary Investigator(s)

PI Affiliation
European Commission's JRC

Additional Trial Information

Status
In development
Start date
2022-08-01
End date
2022-09-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In February 2022, millions of Ukrainians fled their country after Russia’s invasion producing the fastest mass migration to Europe in decades. The European Council responded by adopting extraordinary temporary protection measures to assist the incoming people (“refugees”). But what are the Europeans’ attitudes towards temporary protection in general and for specific demographic groups? We evaluate how these attitudes vary with the demographic traits of the people displaced, reasons why they had to leave their country, and the rights covered under temporary protection (e.g., housing, labor market). We also evaluate the extent to which individuals can be persuaded to adopt more inclusionary attitudes towards refugees by being stimulated to take the perspective of a refugee (i.e., consider how he or she may think or feel about the situation) or by considering narratives that give a refugee’s perspective. Results may contribute to better social marketing communication to ease tensions associated with immigration. They may also inform preparedness programs for future refugee crises, especially in terms of preferable returns, integration, and relocation policies and how to activate these policy levers during a crisis.
External Link(s)

Registration Citation

Citation
Blasco, Andrea and Michal Krawczyk. 2022. "An online experiment on attitudes towards temporary protection of refugees and helping behaviors in the EU." AEA RCT Registry. July 12. https://doi.org/10.1257/rct.9682-1.0
Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
We can divide our survey into four sequential sections: 1. demographic questions for screening (these are used to reach certain fixed quotas for country representativeness), 2. (conjoint) choice experiment, 3. perspective-taking experiment, and 4. collection of pre-treatment variables.

We randomly assign respondents to different conditions or “treatments” in sections 2 and 3, as we describe below. (All treatment assignments are stratified by country.)

1. Choice experiment

We use a conjoint choice experiment (henceforth, simply “choice experiment”) to evaluate formally any differences in attitudes associated with the refugees’ demographics, reasons for leaving their country, and costs (see Mariel et al. 2021 for an overview).
A choice experiment is characterized by five main features: the number of choice tasks, the alternatives presented in a choice task, the attributes used to describe each alternative, and the levels used to describe the corresponding attribute.
In our study, the choice task consists of presenting the respondents with two alternative scenarios describing a group of refugees asking which of the two alternatives, if any, they would prefer to offer temporary protection in the EU (“Please, compare groups A and B described in the table and indicate which of the two, if any, you would prefer to offer temporary protection in the EU.”). Each respondent will perform six of such choice tasks.

For each choice task, any alternative scenario is characterized by the following attributes (the attribute’s levels are in parenthesis):

• Country of origin of the refugees (An Eastern European country, A Middle Eastern country, A sub-saharan African country)

• Displaced by: Main reason forcing them to leave their country (poverty in their country, climate change making their country uninhabitable, a war in their country)

• Fraction of women (20 out 100, 50 out 100, 80 out of 100)

• Fraction of children (10 out 100, 30 out 100, 50 out 100)

• Religion (90 out 100 are Christian, 45 out of 100 are Christian, 45 are Muslim, 90 out of 100 are Muslim)

• Cost of protection (5,10,20,40,70,100)

Testing all possible scenarios (3 x 3 x 3 x 3 x 4 x 6 = 1,944 possible combinations) is unfeasible. Therefore, we restrict the choice sets to six blocks of combinations and we will sort the respondents into one of these blocks at random.

The level combinations in these blocks will be selected using a Bayesian d-efficient design optimized for Multinomial Logit models (Ferrini and Scarpa 2007), where the priors will come from a pilot study on a sample of about 450 respondents from four countries.

On top of the randomization into blocks, we will also randomize the choice task into three conditions where respondents are asked to given their preference for different types of temporary protection. The treatment conditions will be as follows:

1. Access to the labor market: In this condition, we test whether an emphasis on giving refugees temporary access to the labor market has any effect on the individuals’ support to temporary protection. This emphasis may stimulate people’s fear of a negative impact of the migrants on the labor market, which may lead to less inclusionary attitudes. We expect the effect to be larger for low-skilled individuals who may have a greater fear of direct migrant competition (see, e.g., discussion in Ford and Mellon 2020)

2. Housing: In this condition, we test whether putting more emphasis on giving refugees access to housing has any effect on the individuals’ support to temporary protection.

3. Generic protection (“Control”): This is the control condition with no emphasis on the implications of temporary protection for housing or the labor market.

Finally, we will also randomize the order of the alternatives displayed in the table shown in each block to prevent any ordering effect.

2. Taking vs. getting perspective

When asking to what extent individuals support specific aspects of temporary protection offered to Ukrainians, we will randomize the types of narratives/messages preceding the question. The treatment conditions will be as follows:

1. Perspective-getting: We will present respondents with an open questions about their feelings on the account of a refugee’s experience, thus to induce a reflection on the refugee’s perspective. We hypothesize that this perspective-giving reflection will persuade people to adopt more inclusionary attitudes, as shown in another experimental study described by Kalla and Broockman (2021).

2. Perspective-taking: this condition poses individuals an open question about what they would do if they were in the same conditions of a refugee from Ukraine. Adida, Lo, and Platas (2018) shows that a similar perspective-taking treatment condition successfully induced a significantly positive effect on Americans’ attitudes towards refugees in the context of the Syrian refugee crisis.

3. Unrelated (“Control”): This condition asks respondents an unrelated question that is not expected to trigger any feelings or perspectives about refugees (i.e., the question is about how they stay informed about the war in Ukraine).
Intervention Start Date
2022-08-01
Intervention End Date
2022-09-30

Primary Outcomes

Primary Outcomes (end points)
We consider the following questions as outcome measures:
• To measure individual preferences towards refugees and support for temporary protection, we ask to choose between one or none hypothetical refugee situations in a choice experiment (“Please, compare groups A and B described in the table and indicate which of the two, if any, you would prefer to offer temporary protection in the EU.”). We repeat the question six times under different scenarios (see later).
• To measure support for protection to Ukrainian people in the current situation we ask whether they agree or not with granting temporary work permits to Ukrainians (“Do you agree or disagree with granting displaced people from Ukraine temporary work permits?”)
• We also aks whether they are willing to send a short text supporting Ukrainian refugees (encouraging volunteering, making donations, or raising awareness) to be shared via Twitter (“Would you agree to write a short text to persuade people in [Country] to donate? We will share your message on our Twitter account (You can also edit our template)”).
• To measure support to policies already in place, we ask whether they support the European Council’s decision to grant temporary protection to the Ukrainians (“do you support or do you oppose this decision?”) and whether the EU should extend it beyond the first year (“Assuming the situation in Ukraine does not change much, do you think the EU should extend the temporary protection for Ukrainian people beyond March 23, 2023?”)
• We also measure individual support for Ukraine to join the EU (“To what extent do you agree or disagree with the statement: ‘Ukraine is part of the EU family’”?).
• We ask about what rights (housing, labor market, medical, …) they would like to include in temporary protection.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We can divide our survey into four sequential sections: 1. demographic questions for screening (these are used to reach certain fixed quotas for country representativeness), 2. (conjoint) choice experiment, 3. perspective-taking experiment, and 4. collection of pre-treatment variables.

Experimental Design Details
Randomization Method
The randomization is done automatically by the software that collectes the responses. All treatment assignments are stratified by country. Quotas are enforced to ensure country representativeness of the sample.
Randomization Unit
individual respondent level
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
We will survey the general population 18+ of six countries: Czechia, France, Hungary, Germany, Poland, and Romania. We will draw about 2,100 respondents per country and 3,500 for Poland.
Sample size: planned number of observations
14,000
Sample size (or number of clusters) by treatment arms
6 countries
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
JRC - Research Ethics Board
IRB Approval Date
2022-07-11
IRB Approval Number
N/A
Analysis Plan

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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