Estimating SME Failures in Real Time: An Application to the COVID-19 Crisis

Working Paper: NBER ID: w27877

Authors: Pierre-Olivier Gourinchas; Ebnem Kalemlizcan; Veronika Penciakova; Nick Sander

Abstract: We study the effects of financial frictions on firm exit when firms face large liquidity shocks. We develop a simple model of firm cost-minimization, where firms’ borrowing capacity to smooth temporary shocks to liquidity is limited. In this framework, firm exit arises from the interaction between this financial friction and fluctuations in cash flow due to aggregate and sectoral changes in demand conditions, as well as more traditional shocks to productivity. To evaluate the implications of our model, we use firm level data on small and medium sized enterprises (SMEs) in 11 European countries. We confirm that our framework is consistent with official failure rates in 2017-2019, a period characterized by standard business cycle fluctuations in demand. To capture a large liquidity shock, we apply our framework to the COVID-19 crisis. We find that, absent government support, SME failure rates would have increased by 6.01 percentage points, putting 3.1 percent of employment at risk. Our results also show that in the presence of financial frictions and in the absence of government support, the firms failing due to COVID have similar productivity and growth to firms that survive COVID.

Keywords: SME failures; COVID-19; economic downturns; business exits; policy responses

JEL Codes: D2; E65; G33


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
Government support (H53)SME failures (E69)
Government support (H53)Employment impact (J68)
Increase in SME failures (E69)Increase in non-performing loans (NPLs) (F65)
Increase in non-performing loans (NPLs) (F65)Decline in ratio of CET1 capital to risk-weighted assets (G32)

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