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

Working Paper: CEPR ID: DP15323

Authors: Pierre-Olivier Gourinchas; Sebnem Kalemli-Ozcan; 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’ borrow- ing 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 ap- ply 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 em- ployment 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: business failure; COVID-19; bankruptcy; SMEs

JEL Codes: No JEL codes provided


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 during the COVID-19 crisis (H12)SME failures (E69)
Liquidity conditions (E41)Likelihood of failure (G33)
SME failures (E69)Non-performing loans (NPLs) (G21)
Non-performing loans (NPLs) (G21)Ratio of CET1 capital to risk-weighted assets (G32)
Sector-specific shocks (F69)Heterogeneity in failure rates (C41)
Financial health of firms (G32)Heterogeneity in failure rates (C41)
COVID-19 policies (Z28)Firm survival rates (L21)

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