How Smart is Smart Money? A Two-Sided Matching Model of Venture Capital
Posted: 13 Mar 2007
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, but sorting is almost twice as important as influence for the difference in IPO rates.
Keywords: Venture Capital, Selection Problem, Two-Sided Matching, Bayesian Estimation, MCMC
JEL Classification: C12, C39, C79, G39
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