| Data file |
Cases |
Variables |
|
BaselineandFirstFollowup
Baseline and first follow-up round data
|
3139 |
618 |
|
SecondFollowup
Second follow-up round data
|
3139 |
361 |
|
ThirdFollowup
Third follow-up round data
|
3139 |
309 |
|
validurlr4
Fourth follow-up round data, indicating if a firm had a valid URL in January 2017
|
950 |
2 |
|
nigeriayouwinr4public
Fourth follow-up round data
|
3139 |
322 |
|
ExtraVarsNeeded
Additional variables that weren't included in the original public data release (coded up sector from application forms)
|
3139 |
4 |
|
pvaluesdata
p-values used in Sharpened q-value analysis
|
114 |
5 |
|
regionuid
Data on the region of application for non-experimental sample used in RD analysis
|
4660 |
2 |
|
WebsiteValidatedOct42015
Data on whether or not the firm had a valid website as of October 4, 2015
|
882 |
3 |
|
VariablesRestrictedData
Contains variables constructed from the application to the business plan submission that were not previously provided in the public use version, but which are needed for replicating the machine-learning approach in the paper “Predicting Entrepreneurial Success is Hard: Evidence from a Business Plan Competition in Nigeria”. Examples include constructed variables on whether the business is named after the owner, characteristics of some of the open-ended responses (e.g. length of response, whether it mentions competitive threat, whether it is in all caps), and when individuals registered for the competition.
|
2492 |
15 |
