Estimating Unobserved Complementarities between Entrepreneurs and Venture Capitalists
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| Academic Paper | |
|---|---|
| Title | Unobserved Complementarities between Entrepreneurs and VCs (Academic Paper) |
| Author | Ed Egan, Jeremy Fox, David Hsu |
| RAs | Amir Kazempour |
| Status | In development |
| © edegan.com, 2016 | |
Reference Papers
Jeremy's paper with David Hsu and Chenyu Yang is here:
Fox Hsu Yang (2015) - Unobserverd Heterogeneity in Matching Games with an Application to Venture Capital provides some notes.
Matlab Code
Abhijit Brahme (Work Log) contains his notes on working with the Matlab code. This needs a separate page.
Data specification
The data spec sent to Jeremy is in:
Z:\Projects\MatchingAcceleratorsToVCs
Dataset build
Decisions:
- Granularity of industry
- Matching to a fund or a firm: Both suffer from a right censorship problem
- Determination of lead VC
- How to collapse VC rounds (date, amount, etc.): We will use only seed, early, later stage investment and insist on the presence of seed/early for inclusion. We can then have date first, investment duration (to date last), total investment.
The objective is:
- Unit of observation - a startup-fund match
- Startup name and ID, fund name and ID
- Exit indicator, exit value, alive2016 indicator, exit type indicator
- Total invested (all SEL, across all funds), number of rounds (all SEL, across all funds), investment duration (yrs), date first inv, year first inv
- Number of funds investing
- Fund ipo count, Fund M&A count, Fund investment count(calc at end), fund ipo rate, fund M&A rate, fund exit count, fund exit rate, fund ipo $, fund M&A $, fund exit $, fund moomi
- total invested by lead, number of rounds participation by lead
