Difference between revisions of "Estimating Unobserved Complementarities between Entrepreneurs and Venture Capitalists"

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|Has paper status=In development
 
|Has paper status=In development
 
}}
 
}}
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==Reference Papers==
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Jeremy's paper with David Hsu and Chenyu Yang is here:
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*http://fox.web.rice.edu/working-papers/fox-hsu-yang-matching.pdf.
 +
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[[Fox Hsu Yang (2015) - Unobserverd Heterogeneity in Matching Games with an Application to Venture Capital]] provides some notes.
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==Matlab Code==
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[[Abhijit Brahme (Work Log)]] contains his notes on working with the Matlab code. This needs a separate page.
 +
  
 
==Data specification==
 
==Data specification==
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  Z:\Projects\MatchingAcceleratorsToVCs
 
  Z:\Projects\MatchingAcceleratorsToVCs
  
We are only interested in lead VCs for now.
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Decisions:
==Reference Papers==
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*Granularity of industry
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*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.
  
Jeremy's paper with David Hsu and Chenyu Yang is here:
+
The objective is:
*http://fox.web.rice.edu/working-papers/fox-hsu-yang-matching.pdf.
+
*Unit of observation - a startup-fund match
 
+
*Startup name and ID, fund name and ID
[[Fox Hsu Yang (2015) - Unobserverd Heterogeneity in Matching Games with an Application to Venture Capital]] provides some notes.
+
*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

Revision as of 19:47, 18 August 2017

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

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