Startups in Africa

Last registered on October 12, 2023
View Trial History

Pre-Trial

Trial Information

General Information

Title
Startups in Africa
RCT ID
AEARCTR-0012156
Initial registration date
September 20, 2023

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
October 12, 2023, 8:56 PM EDT

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

Locations

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Primary Investigator

Name
Emanuele Colonnelli
Affiliation
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2023-09-28
End date
2024-08-31
Keywords
Finance & Microfinance, Firms & Productivity, Governance
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project aims to understand the preferences of high-growth entrepreneurs / startups toward investors and accelerators in Africa.
External Link(s)

Registration Citation

Citation
Colonnelli, Emanuele. 2023. "Startups in Africa." AEA RCT Registry. October 12. https://doi.org/10.1257/rct.12156-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
This project aims to understand the preferences of high-growth entrepreneurs / startups toward investors and accelerators in Africa.
Intervention Start Date
2023-09-28
Intervention End Date
2024-08-31

Primary Outcomes

Primary Outcomes (end points)
Startups interest (and perceived likelihood of reciprocal interest) in investors/accelerators.
Primary Outcomes (explanation)
Interest in investment partners.

Secondary Outcomes

Secondary Outcomes (end points)
See attached pre-analysis plan.
Secondary Outcomes (explanation)
See attached pre-analysis plan.

Experimental Design

Experimental Design
See attached pre-analysis plan.
Experimental Design Details
Not available
Randomization Method
See attached pre-analysis plan. Randomization is done via a Python program.
Randomization Unit
See attached pre-analysis plan.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2000 firms
Sample size: planned number of observations
30000
Sample size (or number of clusters) by treatment arms
See attached pre-analysis plan.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
U Chicago Social and Behavioral Sciences IRB Office
IRB Approval Date
2023-09-05
IRB Approval Number
IRB23-1385
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information