Data and Code for: The US-China Trade War and Global Reallocations

Principal Investigator(s):  View help for Principal Investigator(s) Pablo Fajgelbaum, UCLA and NBER; Pinelopi Goldberg, Yale and NBER; Patrick Kennedy, Berkeley; Amit Khandelwal, Yale and NBER; Daria Taglioni, World Bank

Version:  View help for Version V1

Name File Type Size Last Modified
build.log text/x-log 53.9 KB 10/24/2023 01:45:PM
chars.log text/x-log 11.3 KB 10/24/2023 01:45:PM
china_weight_hs10.log text/x-log 5.4 KB 10/24/2023 01:45:PM
clean_tradecomtrade.log text/x-log 3.1 KB 10/24/2023 01:45:PM
cty_rank.log text/x-log 3.4 KB 10/24/2023 01:45:PM
did.log text/x-log 56.2 KB 10/24/2023 01:45:PM
global_trade_hs6_ct_consistent_hs12.log text/x-log 103 bytes 10/24/2023 01:45:PM
iso_codes.log text/x-log 5.6 KB 10/24/2023 01:45:PM
quadplot.log text/x-log 14 KB 10/24/2023 01:45:PM
regs_0.log text/x-log 217.1 KB 10/24/2023 01:45:PM
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Project Description

Summary:  View help for Summary The US-China trade war created net export opportunities rather than simply shifting trade across destinations. Many “bystander” countries grew their exports of taxed products into the rest of the world (excluding US and China). Country-specific components of tariff elasticities, rather than specialization patterns, drove large cross-country variation in export growth of tariff-exposed products. The elasticities of exports to US-China tariffs identify whether a country’s exports complement or substitute US or China and its supply curve’s slope. Countries that operate along downward-sloping supplies whose exports substitute (complement) US and China are among the larger (smaller) beneficiaries of the trade war.

Scope of Project

JEL Classification:  View help for JEL Classification
      F10 Trade: General
      F14 Empirical Studies of Trade
Geographic Coverage:  View help for Geographic Coverage Global


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Published Versions

V1 [2024-12-02]

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