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Working Paper
Private Information and Optimal Infant Industry Protection
We study infant industry protection using a dynamic model in which the industry's cost is initially higher than that of foreign competitors. The industry can stochastically lower its cost via learning by doing. Whether the industry has transitioned to low cost is private information. We use a mechanism-design approach to induce the industry to reveal its true cost. We show that (i) the optimal protection, measured by infant industry output, declines over time and is less than that under public information, (ii) the optimal protection policy is time consistent under public information but not ...
Discussion Paper
The Investment Cost of the U.S.-China Trade War
Starting in early 2018, the U.S. government imposed tariffs on over $300 billion of U.S. imports from China, increasing the average tariff rate from 2.7 percent to 17.5 percent. Much of the escalation in tariffs occurred in the second and third quarters of 2019. In response, the Chinese government retaliated, increasing the average tariff applied on U.S. exports from 5.7 percent to 20.4 percent. Our new study finds that the trade war reduced U.S. investment growth by 0.3 percentage points by the end of 2019, and is expected to shave another 1.6 percentage points off of investment growth by ...
Working Paper
Private Information and Optimal Infant Industry Protection
We study infant industry protection using a dynamic model in which the industry's cost is initially higher than that of foreign competitors. The industry can stochastically lower its cost via learning by doing. Whether the industry has transitioned to low cost is private information. Using a mechanism-design approach, we solve for the optimal protection policy that induces the industry to reveal its true cost. We show that (i) the optimal protection, measured by infant industry output, declines over time and is less than that under public information, (ii) the optimal protection policy is ...