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Estimating the Impact of a German Language Learning Platform on Refugee Integration
Last registered on June 16, 2017

Pre-Trial

Trial Information
General Information
Title
Estimating the Impact of a German Language Learning Platform on Refugee Integration
RCT ID
AEARCTR-0002269
Initial registration date
June 14, 2017
Last updated
June 16, 2017 11:39 AM EDT
Location(s)
Region
Primary Investigator
Affiliation
Johannes Gutenberg-University Mainz
Other Primary Investigator(s)
PI Affiliation
Johannes Gutenberg-University Mainz
PI Affiliation
Johannes Gutenberg-University Mainz
Additional Trial Information
Status
In development
Start date
2017-05-24
End date
2017-08-31
Secondary IDs
Abstract
For immigrants learning the language of the host country can facilitate both integration and economic success. While in-class courses are considered first best, the potential of online language learning remains unexplored. We will conduct a field experiment for estimating the impact of a German language-learning platform on different dimensions of refugee integration. We will exogenously increase the salience of this study opportunity for a randomly selected group of recently migrated job-searchers.
External Link(s)
Registration Citation
Citation
Grote, Nora, Tim Klausmann and Mario Scharfbillig. 2017. "Estimating the Impact of a German Language Learning Platform on Refugee Integration." AEA RCT Registry. June 16. https://doi.org/10.1257/rct.2269-1.0.
Former Citation
Grote, Nora et al. 2017. "Estimating the Impact of a German Language Learning Platform on Refugee Integration." AEA RCT Registry. June 16. http://www.socialscienceregistry.org/trials/2269/history/18636.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
We will send emails increasing salience of an opportunity to continue learning German.
Intervention Start Date
2017-06-21
Intervention End Date
2017-06-22
Primary Outcomes
Primary Outcomes (end points)
German language skills, measures of integration (e.g. number of German-speaking friends, job-finding rate)
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Emails will be sent to a randomly selected participants.
Experimental Design Details
Randomization Method
We stratified using pre-intervention data (days since registration on the platform). Randomization was done in office by a computer.
Randomization Unit
individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
9519
Sample size: planned number of observations
9519
Sample size (or number of clusters) by treatment arms
3803 control, 5716 treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Given our number of observations (9519) and alpha =0.05, our chance of detecting an effect of 0.05 of a standard deviation is 68%. Our chance of detecting an effect of 0.1 of a standard deviation is 99%.
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is 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