How Smart Is Smart Money? A Two‐Sided Matching Model of Venture Capital
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Abstract
ABSTRACT 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.
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Topics
Keywords
- Sorting
- Venture capital
- Endogeneity
- Initial public offering
- Matching (statistics)
- Exploit
- Business
- Economics
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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