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Beyond Demo Day: Sorting and Value Added in Startup Accelerators

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Listed:
  • Youn Baek
  • Deepak Hegde

Abstract

We study who joins startup accelerators, how founders sort across programs, and which accelerators improve startup outcomes. Using a comprehensive sample of about 750,000 U.S. startups linked to 329 accelerators, we adapt the teacher value-added framework from education economics to estimate accelerator value added (AVA) while accounting for sorting. Selection is systematic: observably better ventures are more likely to enter accelerators and to sort into higher-AVA programs. Yet accelerator performance is highly dispersed. Most accelerators have negative value added relative to a no-accelerator benchmark, while a small right tail generates large gains. High-AVA accelerators predict better long-term outcomes, including acquisition, employment, revenue, and valuation, and are also more likely to accelerate the shutdown of weaker ventures. We validate AVA using internal applicant data from a large U.S. non-equity accelerator.

Suggested Citation

  • Youn Baek & Deepak Hegde, 2026. "Beyond Demo Day: Sorting and Value Added in Startup Accelerators," NBER Working Papers 35063, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:35063
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    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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