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How Smart Is Smart Money? A Two‐Sided Matching Model of Venture Capital
Author(s) -
SØRENSEN MORTEN
Publication year - 2007
Publication title -
the journal of finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 18.151
H-Index - 299
eISSN - 1540-6261
pISSN - 0022-1082
DOI - 10.1111/j.1540-6261.2007.01291.x
Subject(s) - sorting , venture capital , endogeneity , initial public offering , matching (statistics) , exploit , business , economics , econometrics , monetary economics , computer science , finance , computer security , statistics , mathematics , programming language
I find that companies funded by more experienced VCs are more likely to go public. This follows both from the direct influence of more experienced VCs and from sorting in the market, which leads experienced VCs to invest in better companies. Sorting creates an endogeneity problem, but a structural model based on a two‐sided matching model is able to exploit the characteristics of the other agents in the market to separately identify and estimate influence and sorting. Both effects are found to be significant, with sorting almost twice as important as influence for the difference in IPO rates.