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We examine the growing gender gap in venture capital funding, focusing on accelerator programs in the U.S. We collect a unique dataset with detailed information on accelerators and startups. Using a two-stage methodology, we first estimate a matching model between startups and accelerators, and then use its output to analyze the gender gap in post-graduation outcomes through a control function approach. Our results suggest that female-founded startups face a significant funding disadvantage due to relocation challenges tied to family obligations. However, larger cohorts and higher-quality accelerators help reduce this gap by potentially offering female founders better networking opportunities and mentorship.

生成讲解博客的中文版本

生成AI智能校验的中文版本