Accelerating Equity: Overcoming the Gender Gap in VC Funding

2025-02-20

AI Summary

This study investigates the gender gap in venture capital funding faced by female founders in U.S. accelerator programs, attributing it to geographic mobility constraints arising from familial responsibilities. Employing a two-stage matching model combined with control function estimation, it is the first to embed accelerator matching mechanisms into a causal identification framework for gender disparities—thereby isolating constrained location choice due to family obligations as a key driver. Results show that participation in high-quality accelerators narrows the funding gap for women by 37%; cohort size and accelerator quality exert positive moderating effects. Leveraging structured entrepreneurial ecosystem data, the paper provides novel empirical evidence on how institutional environments mitigate structural inequality and pioneers the quantification of geographic mobility costs—induced by family duties—on access to external financing.

Technology Category

• Search and Optimization: Other Foundations of Search & Optimization
• Game Theory and Economic Paradigms: Mechanism Design
• Machine Learning: Other Foundations of Machine Learning

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• Social Networks and Social Media: Media and governance, opinion dynamics, filter bubbles, polarization
• Graph Algorithms and Modeling for the Web: Foundation models and LLMs for Web-related graphs

Abstract

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 show that female-founded startups face a significant funding disadvantage, primarily due to relocation challenges tied to family obligations. However, larger cohorts and higher-quality accelerators help reduce this gap by offering female founders better networking opportunities and mentorship.

Problem

• Examining gender gap in venture capital funding
• Analyzing female-founded startups' funding disadvantage
• Exploring accelerator programs' impact on reducing gap

Innovation

• Two-stage methodology analyzes gender gap
• Matching model estimates startup-accelerator pairs
• Control function approach evaluates post-graduation outcomes