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Competitor exposure and entrepreneurial performance
Last registered on October 21, 2020

Pre-Trial

Trial Information
General Information
Title
Competitor exposure and entrepreneurial performance
RCT ID
AEARCTR-0006607
Initial registration date
October 18, 2020
Last updated
October 21, 2020 8:38 AM EDT
Location(s)

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Primary Investigator
Affiliation
Harvard University
Other Primary Investigator(s)
PI Affiliation
INSEAD
Additional Trial Information
Status
In development
Start date
2020-10-17
End date
2022-02-28
Secondary IDs
Abstract
This paper looks at the impact of competitive exposure on entrepreneurial firm performance. We leverage random assignment within an accelerator program to examine varying levels of competitive exposure on information sharing, decision-making and performance.
External Link(s)
Registration Citation
Citation
Kim, Hyunjin and Chiara Spina. 2020. "Competitor exposure and entrepreneurial performance." AEA RCT Registry. October 21. https://doi.org/10.1257/rct.6607-1.0.
Experimental Details
Interventions
Intervention(s)
Every firm is randomly assigned to one of two conditions: matched to a related firm (a peer in the entrepreneurial bootcamp that matches its market and/or technology), or to an unrelated firm (a peer with a different market and technology)
Intervention Start Date
2020-10-17
Intervention End Date
2021-01-31
Primary Outcomes
Primary Outcomes (end points)
Measures of entrepreneurial development, motivation, learning
Primary Outcomes (explanation)
Conversations with peers, attendance in bootcamp, reported hours of work, steps taken in entrepreneurial venture
Secondary Outcomes
Secondary Outcomes (end points)
Measures of firm performance
Secondary Outcomes (explanation)
firm revenues, size
Experimental Design
Experimental Design
Every firm is randomly assigned to one of two conditions: matched to a related firm (a peer in the entrepreneurial bootcamp that matches its market and/or technology), or to an unrelated firm (a peer with a different market and technology)
Experimental Design Details
Not available
Randomization Method
Randomization done by a computer
Randomization Unit
Firm-level
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
NA
Sample size: planned number of observations
12 data points, 200 pairs = 2400 observations
Sample size (or number of clusters) by treatment arms
100 pairs control, 100 pairs treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Bocconi IRB
IRB Approval Date
2020-05-22
IRB Approval Number
SA000112