Culture and Gender Differences in Competition
Last registered on April 29, 2019
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Pre-Trial

Trial Information
General Information
Title
Culture and Gender Differences in Competition
RCT ID
AEARCTR-0004153
Initial registration date
April 29, 2019
Last updated
April 29, 2019 10:55 PM EDT
Location(s)

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Primary Investigator
Name
Andreas Kotsadam
Affiliation
University of Oslo
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Other Primary Investigator(s)
PI Name
Anine Riege
PI Affiliation
Kingston University London
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PI Name
Karen Hauge
PI Affiliation
The Frisch Centre
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Additional Trial Information
Status
In development
Start date
2019-04-30
End date
2021-02-18
Keywords
Gender, Labor
Additional Keywords
Competition, Culture
JEL code(s)
Secondary IDs
Abstract
Women are less likely than men to enter into competitions and this difference has been argued to be partly rooted in cultural differences. Using a large sample of Norwegian second-generation immigrants we will test the effect of culture using the epidemiological approach.
External Link(s)
Registration Citation
Citation
Hauge, Karen, Andreas Kotsadam and Anine Riege. 2019. "Culture and Gender Differences in Competition." AEA RCT Registry. April 29. https://www.socialscienceregistry.org/trials/4153/history/45656
Sponsors & Partners
Experimental Details
Interventions
Intervention(s)
Survey Experiments and competition experiment.
Intervention Start Date
2019-04-30
Intervention End Date
2019-06-21
Primary Outcomes
Primary Outcomes (end points)
Willingness to compete
Primary Outcomes (explanation)
See plan
Secondary Outcomes
Secondary Outcomes (end points)
See plan
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Competition experiment a la Niederle and Vesterlund (2007) with second generation immigrants in Norway
Experimental Design Details
Not available
Randomization Method
Computer
Randomization Unit
Individuals
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
59 country backgrounds
Sample size: planned number of observations
2360 individuals
Sample size (or number of clusters) by treatment arms
40
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
With a p-value of 0.05 and 80 percent power we have a minimum detectable effect (MDE) of a 4 percentage points difference across cultures from a one standard deviation in our culture proxy.
Supporting Documents and Materials
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB officer at the Frisch center
IRB Approval Date
2018-12-14
IRB Approval Number
1672b
Analysis Plan

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