Small Business Survival Capabilities and Policy Effectiveness: Evidence from Oakland

Working Paper: NBER ID: w27629

Authors: Robert P. Bartlett III; Adair Morse

Abstract: Using unique City of Oakland data during COVID-19, we document that small business survival capabilities vary by firm size as a function of revenue resiliency, labor flexibility, and committed costs. Nonemployer businesses rely on low cost structures to survive 73% declines in own-store foot traffic. Microbusinesses (1-to-5 employees) depend on 14% greater revenue resiliency. Enterprises (6-to-50 employees) have twice-as-much labor flexibility, but face 11%-to-22% higher residual closure risk from committed costs. Finally, inconsistent with the spirit of Chetty-Friedman-Hendren-Sterner (2020) and Granja-Makridis-Yannelis-Zwick (2020), PPP application success increased medium-run survival probability by 20.5%, but only for microbusinesses, arguing for size-targeting of policies.

Keywords: small business; COVID-19; survival capabilities; policy effectiveness; Paycheck Protection Program

JEL Codes: E61; G38; H32; J65; L26


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
small business characteristics (firm size, revenue resiliency, labor flexibility, committed costs) (L25)survival during the COVID-19 pandemic (I14)
firm size (L25)survival capabilities (I31)
microbusinesses (N80)lesser decline in revenue compared to enterprises (L25)
PPP (H69)medium-run survival probability for microbusinesses (C41)
committed costs (D23)closure risks for enterprises (G33)
labor flexibility (J29)scaling back operations (D25)
labor flexibility and higher committed costs (J30)jeopardizes survival of larger enterprises (D25)

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