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PublikationArtikel (med peer review)

Mitigating information frictions in trade: Evidence from export credit guarantees

Sammanfattning

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.

Agarwal, N., Chan, J. M., Lodefalk, M., Tang, A., Tano, S., & Wang, Z. (2023). Mitigating information frictions in trade: Evidence from export credit guarantees. Journal of International Economics, 103831.

Detaljer

Författare
Agarwal, N., Chan, J. M., Lodefalk, M., Tang, A., Tano, S., & Wang, Z.
Publiceringsår
2023
Publicerat i

Journal of International Economics, 103831.

Relaterat

  • Docent

    Magnus Lodefalk

    magnus.lodefalk@oru.se

Liknande innehåll

Artikel (med peer review)

Stayin’ alive: Export credit guarantees and export survival

Lodefalk, M., Tang, A., & Yu, M.
Ladda ner

Publiceringsår

2025

Publicerat i

Applied Economics Letters

Sammanfattning

We use survival analysis to analyse the impact of export credit guarantees on firms’ export duration using granular Swedish panel data at the firm-country and firm-country-product levels. The estimation results show that firms’ export survival substantially increases with guarantees, at both levels. The associations are particularly strong for smaller firms and contracts as well as in trade with riskier markets. The findings have implications for policies to promote long-run export growth.

Artikel (med peer review)

Artificial intelligence, tasks, skills and wages: Worker-level evidence from Germany

Engberg, E., Koch, M., Lodefalk, M., & Schroeder, S.
Ladda ner

Publiceringsår

2025

Publicerat i

Research Policy

Sammanfattning

As a first step, the study documents novel evidence on changes in tasks and skills within occupations in Germany over the past two decades. It further identifies a distinct relationship between ex ante occupational work content and ex post exposure to artificial intelligence (AI) and automation through robots. Workers in occupations with high AI exposure perform different activities and face different skill requirements than workers in occupations primarily exposed to robots, suggesting that AI and robots substitute for different types of tasks and skills. The study also shows that changes in the task and skill content of occupations are related to their initial exposure to these technologies. Finally, using individual labour market biographies, the analysis investigates the relationship between AI exposure and wages. By examining the dynamic effects of AI exposure over time, the study finds positive associations with wages, with nuanced differences across occupational groups, thereby providing further insight into the substitutability and augmentability of AI.

Working paper

Working Paper No. 386 The Effects of Artificial Intelligence on Jobs: Evidence from an AI subsidy Program.

Mark Hellsten, Shantanu Khanna, Magnus Lodefalk, Yaroslav Yakymovych
Ladda ner

Publiceringsår

2025

Publicerat i

Ratio Working Paper Series.

Sammanfattning

Artificial intelligence (AI) is expected to reshape labor markets, yet causal evidence remains scarce. We exploit a novel Swedish subsidy program that encouraged small and mid-sized firms to adopt AI. Using a synthetic difference-in-differences design comparing awarded and non-awarded firms, we find that AI subsidies led to a sustained increase in job postings over five years, but with no statistically detectable change in employment. This pattern reflects hiring signals concentrated in AI occupations and white-collar roles. Our findings align with task-based models of automation, in which AI adoption reconfigures work and spurs demand for new skills, but hiring frictions and the need for complementary investments delay workforce expansion.

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