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Mitigating information frictions in trade: Evidence from export credit guarantees
64-C, Mittal Towers, Nariman Point, Mumbai, India.
Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Örebro universitet, Handelshögskolan vid Örebro Universitet. Global Labor Organization, Essen, Germany; Ratio, Stockholm, Sweden.ORCID-id: 0000-0003-0149-9598
Örebro universitet, Handelshögskolan vid Örebro Universitet. Department of Economics.ORCID-id: 0000-0003-3724-2399
Vise andre og tillknytning
2023 (engelsk)Inngår i: Journal of International Economics, ISSN 0022-1996, E-ISSN 1873-0353, Vol. 145, artikkel-id 103831Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Information frictions make foreign trade risky. In particular, the risk of buyer default deters firms from selling abroad. To address this issue, many countries offer export credit guarantees to provide insurance to exporters. In this paper, we investigate the causal effects of guarantees by exploiting a quasi-natural experiment in Sweden and rich register data on guarantees, firms and trade. Estimates from a fuzzy regression discontinuity design show large positive effects on the probability of exporting and the value of exports to the destination for which the guarantees are issued. These results are robust to an alternative approach using a difference-in-differences matching estimator. Further findings suggest that guarantees impact firms heterogeneously and play an important role in resolving buyer default risk and easing liquidity constraints. Larger impacts are observed in non-OECD countries, on smaller, liquidity constrained exporters and for firms selling products that face a relatively high cost of buyer default.

sted, utgiver, år, opplag, sider
Elsevier, 2023. Vol. 145, artikkel-id 103831
Emneord [en]
Buyer default, Export credit guarantees, Firm performance, Information frictions, Liquidity constraints, Trade
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Identifikatorer
URN: urn:nbn:se:oru:diva-110190DOI: 10.1016/j.jinteco.2023.103831ISI: 001110247800001Scopus ID: 2-s2.0-85178237104OAI: oai:DiVA.org:oru-110190DiVA, id: diva2:1819107
Forskningsfinansiär
Swedish Agency for Economic and Regional Growth, 2016-149Torsten Söderbergs stiftelse, E38-16Tilgjengelig fra: 2023-12-13 Laget: 2023-12-13 Sist oppdatert: 2024-01-10bibliografisk kontrollert

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