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Jeremy's paper with David Hsu and Chenyu Yang The objective is here:*http://fox.web.rice.edu/workingUnit of observation -papers/foxa startup-hsu-yang-matching.pdf. 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[[Fox Hsu Yang *Fund ipo count, Fund M&A count, Fund investment count(2015calc at end) - Unobserverd Heterogeneity in Matching Games with an Application to Venture Capital]] provides some notes., 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
Estimating Unobserved Complementarities between Entrepreneurs and Venture Capitalists (view source)
Revision as of 20:47, 18 August 2017
, 20:47, 18 August 2017no edit summary
|Has paper status=In development
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==Reference Papers==
Jeremy's paper with David Hsu and Chenyu Yang is here:
*http://fox.web.rice.edu/working-papers/fox-hsu-yang-matching.pdf.
[[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==
Z:\Projects\MatchingAcceleratorsToVCs
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 are will use only interested in lead VCs seed, early, later stage investment and insist on the presence of seed/early for nowinclusion. We can then have date first, investment duration (to date last), total investment.==Reference Papers==
