MARC Bibliographic Record

LEADER03080nam a2200433 i 4500
001 991023420349102122
005 20240308052343.0
006 m o d
007 cr |||||||||||
008 240306t20242020maua ob 000 0 eng d
035    $a(OCoLC)1425194805
035    $a(OCoLC)on1425194805
035    $a(EXLNZ-01UWI_NETWORK)9914063245502121
040    $aGZM$beng$erda$cGZM
049    $aGZMA
050 _4 $aH11$b.N2434x no. 27877
100 1_ $aGourinchas, Pierre-Olivier,$eauthor.
245 10 $aSME failures under large liquidity shocks :$ban application to the COVID-19 crisis /$cPierre-Olivier Gourinchas, Sebnem Kalemli-Ozcan, Veronika Penciakova, Nick Sander.
264 _1 $aCambridge, Mass. :$bNational Bureau of Economic Research,$c2024.
264 _4 $c©2020
300    $a1 online resource (81 pages) :$billustrations.
336    $atext$btxt$2rdacontent
337    $acomputer$bc$2rdamedia
338    $aonline resource$bcr$2rdacarrier
347    $adata file$2rda
490 1_ $aNBER working paper series ;$vno. 27877
588    $aDescription based on online resource; title from http://www.nber.org/papers/w27877 viewed March 6, 2024.
500    $a"September 2020, Revised February 2023"
504    $aIncludes bibliographical references (pages 49-52).
520    $aWe 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.
650 _0 $aCOVID-19 Pandemic, 2020-$xEconomic aspects.
650 _0 $aSmall business$xFinance.
700 1_ $aKalemli-Ozcan, Sebnem,$eauthor.
700 1_ $aPenciakova, Veronika,$eauthor.
700 1_ $aSander, Nick,$eauthor.
710 2_ $aNational Bureau of Economic Research,$epublisher.
775 0_ $aGourinchas, Pierre-Olivier.$tCOVID-19 and SME failures.$dCambridge, Mass. : National Bureau of Economic Research, 2020$w(OCoLC)1198085516
830 _0 $aWorking paper series (National Bureau of Economic Research) ;$vno. 27877.
856 40 $uhttps://www.nber.org/papers/w27877
950    $a20240306$bmem$co$de$egls$9local

MMS IDs

Document ID: 9914063245502121
Network Electronic IDs: 9914063245502121
Network Physical IDs:
mms_mad_ids: 991023420349102122