Figure 1: TFP dispersion, 1987–2021

TFP dispersion across firms rises sharply during recessions. The 90th–10th percentile spread within industries widens in each of the four recessions in the sample, consistent with the model's prediction that credit rationing intensifies when aggregate conditions deteriorate.

Cyclical Fluctuations, Financial Frictions, and Productivity Differences across Firms

Within narrowly defined industries, the most productive firms produce far more than the least productive from the same inputs, and this dispersion widens in downturns. We build a tractable model in which financial frictions—adverse selection and moral hazard—make firms sort endogenously into lenders, strategic defaulters, and producers. As credit conditions vary, the resulting misallocation gives aggregate total factor productivity (TFP) an endogenous component that accounts for about 30 percent of the variance of TFP at business-cycle frequencies, a third of it from strategic default. We show that our tractable model can match key features of the observed distribution of productivity across firms and its co-movement with output growth and credit conditions in the data.

Figure: TFP gap between more- and less-exposed industries, 2013–2022, relative to 2017

Industries more exposed to the 2018–19 tariffs move together with less-exposed ones through 2018, then fall behind from 2019. The lines show the productivity gap between an industry at the top and one at the bottom quartile of exposure, relative to 2017, with 90 percent bands; the two panels measure protection by market coverage and by the statutory tariff rate.

Higher Tariffs, Lower Productivity: Evidence from U.S. Manufacturing

Between 2018 and 2019 the United States raised tariffs on roughly $350 billion of imports. I ask how this protection affected the productivity of the targeted manufacturing industries, and find that it lowered it. Because tariffs are not assigned at random, I exploit the trade war’s design: U.S. authorities front-loaded intermediate and capital goods and delayed consumer goods, making an industry’s consumer-good share a strong instrument for its tariff exposure. The quartiles of the 2017–19 increase in the statutory tariff are 7.5 percentage points apart, and across that gap an industry at the top quartile ends 2019 with total factor productivity about 3.3 percent below one at the bottom. This is a relative comparison across industries, not an aggregate. A second design, which requires no instrument, puts the same contrast at 2.1 percent. The effect operates through the own-product tariff rather than input costs.