Tariffs, Global Value Chains, and the Incidence of Protection: Evidence from US Automobiles

Luke Heeney, Christopher Knittel and Jasdeep Mandia

No 35023, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: In many modern industries, firms compete in differentiated-product markets while relying on complex global value chains for intermediate inputs. In such settings, trade policies such as tariffs on vehicles and parts operate not only through consumer substitution and firm pricing, but also through firms’ cost structures and sourcing decisions. We develop a structural model of the U.S. automobile market that integrates random-coefficients demand, multiproduct firm pricing, and a flexible supply-side framework in which shocks to the cost of imported parts transmit imperfectly into manufacturers’ marginal costs. The model is disciplined by novel model-level data on imported-parts exposure and exploits exchange-rate variation to identify cost pass-through. Our counterfactual analysis quantifies the effects of alternative tariff policies on prices, profits, and welfare. First, tariffs on imported vehicles alone reallocate demand toward domestically assembled products and increase U.S. producer surplus, generating a gain of approximately $1 billion for U.S.-headquartered firms, while reducing consumer surplus by about $14 billion. Second, extending tariffs to imported intermediate inputs fundamentally alters these effects: consumer surplus losses roughly double, and producer surplus for U.S.-headquartered firms declines by about $2.6 billion. These aggregate effects mask substantial heterogeneity: firms with greater exposure to imported parts experience losses, whereas those relying more on domestic inputs are better able to increase profits. Overall, the results show that tariff incidence depends critically on firms’ exposure to global value chains and cannot be inferred from final assembly locations alone.

JEL-codes: F13 L13 L62 (search for similar items in EconPapers)
Date: 2026-04
Note: IO ITI PR
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