x

Please fill out this short user survey of only 3 questions in order to help us improve the site. We appreciate your feedback!
Elicit preferences in the entrepreneurial financing process
Last registered on October 17, 2020

Pre-Trial

Trial Information
General Information
Title
Elicit preferences in the entrepreneurial financing process
RCT ID
AEARCTR-0004982
Initial registration date
February 01, 2020
Last updated
October 17, 2020 11:05 PM EDT
Location(s)

This section is unavailable to the public. Use the button below to request access to this information.

Request Information
Primary Investigator
Affiliation
Columbia University
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2020-02-01
End date
2020-12-31
Secondary IDs
Abstract
Startups are crucial to the innovation and development of an economy. However, many startups face difficulties in terms of raising funding for their projects. In this project, we use field experiments and unique databases to provide causal empirical evidence for identifying potential frictions in the entrepreneurial financing process.
External Link(s)
Registration Citation
Citation
Zhang, Ye. 2020. "Elicit preferences in the entrepreneurial financing process." AEA RCT Registry. October 17. https://doi.org/10.1257/rct.4982-1.2000000000000002.
Sponsors & Partners

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

Request Information
Experimental Details
Interventions
Intervention(s)
Individual-level randomized intervention is implemented.
Intervention Start Date
2020-02-01
Intervention End Date
2020-10-31
Primary Outcomes
Primary Outcomes (end points)
Investors' evaluation, behaviors
Startups' evaluation, feedback
Primary Outcomes (explanation)
Primary outcomes are direct measurements rather than synthetic outcomes.
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The experiment design contains a series of field experiments.
Experimental Design Details
Not available
Randomization Method
Individual-level randomization is implemented on the computer by coding.
Randomization Unit
Individual-level randomization is implemented.
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
20,000-30,000
Sample size: planned number of observations
experiment 1: 20,000-30,000 experiment 2: 50-100 experiment 3: 900
Sample size (or number of clusters) by treatment arms
balanced, 50% treatment and 50% control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
experiment 1: 20,000-30,000 experiment 2: 400 experiment 3: 900
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Columbia Morningside Campus Institutional Review Board
IRB Approval Date
2020-01-17
IRB Approval Number
AAAS6419; AAAS8362; AAAS8730
Analysis Plan

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

Request Information