Working Papers
Collaboration in Technology and Multinational Production (JMP)
Abstract: How flexible are multinational production networks when assembly technologies are specialized and costly to reconfigure? I develop and estimate a structural multinational production model incorporating discrete production technology (platforms) choices and inter-firm licensing, using detailed global automotive industry from 2000–2023. Exploiting the 2011 Tōhoku earthquake as a quasi-natural experiment, I show that platform-specific production constraints significantly limit firms’ ability to reallocate output across space. In the model, platform specialization restricts the feasible assembly set, raising marginal costs relative to standard frameworks that assume full technological substitutability of locations, while licensing relaxes these constraints at the expense of fixed collaboration costs. Quantitatively, accounting for technology increases median costs of firms by about 25%, whereas licensing reduces expected costs by 12%. The model allows, in addition to analyzing trade policy shocks, to simulate industrial policies that explicitly target the access to production technologies. While a unilateral export or import ban of specific technologies raise production costs and induce reallocations comparable to tariff shocks, the distributional consequences are different and largely borne by individual firms.
Work in Progress
Flooded with Uncertainty: Data and Design Pitfalls in Measuring the Granular Impact of Natural Disasters, with Thierry Mayer and Michele Fioretti
Abstract: Extreme weather events pose a growing risk to global production. The growing body of literature on the impacts of natural disasters, such as floods, on households, firms, and economic development largely relies on event study designs exploiting publicly available climate data. This paper documents the challenges and pitfalls associated with this approach using a commonly used database of floods. To do so, we study the responses and adaptations to flood exposure of firms in the automotive industry. We show that, in our setting, (i) floods are often missing or spatially / temporarily misallocated in the data; (ii) canonical Difference-in-Differences methods are sensitive to the design and lead to qualitatively different conclusions. We explore the mechanisms behind this dispersion and provide guidance on how to apply the methods to these datasets to deliver credible results.
The U.S.-China Trade War and the Geography of Global Production, with Harald Fadinger, Jan Schymik & Lei Li
Abstract: We combine detailed information on global plant-level activities and trade flows to study how trade protection during the period 2018-2022 has affected the geography of global production. We document that during the first phase of the U.S.-China trade war, trade protection strongly shaped the location of global economic activity. Firm entry, local employment, sales, and imports were substantially affected by rising tariffs, and responses varied along global value chains (GVC): industries that are more distant from final demand (more upstream) responded less sensitively to changes in protection. While imposed tariffs on outputs increased local economic activity, tariffs on inputs dampened economic activity, and both effects were starkest in more downstream industries. Furthermore, the U.S.-China trade war had significant global spillover effects on firm entry, sales, and employment in third countries, with most of this adjustment happening due to reshuffling of sales of multinational companies within their affiliate network. In particular, U.S. tariffs on China, or Chinese tariffs on inputs sourced from the U.S. prompted Chinese multinational firms to relocate production abroad, benefiting third countries in terms of local economic activity. These effects were stronger in more downstream sectors. By contrast, China's tariffs on the U.S. or U.S. tariffs on Chinese inputs had negative third-country effects on local economic activity via trade diversion.