For roughly 30 years, tariffs and import regulation were policy pariahs. To paraphrase English writer G.K. Chesterton’s quip about Christianity: Tariffs were not tried and found wanting but rejected by au courant economic models and left untried. Policymakers, scared of challenging the elite consensus derived from such models, closed off the universe of options and strategies to solve America’s challenges. But President Donald Trump has changed that and, in doing so, given a gift to economists. The return of tariffs and import regulations creates an opportunity to update old assumptions and dated models with the hard evidence of real-world data and experience.
It is interesting that these policies ever became off-limits. The architects of the post–World War II international economic system knew the risks of unrestricted trade, such as significant trade imbalances or dangerous import dependencies. These architects prioritized national sovereignty and security as equal goals alongside broad-based prosperity. The General Agreement on Tariffs and Trade was deliberately negotiated to allow robust use of tariffs to ensure essential security, prevent damage to domestic industries, respond to unfair competition, foster economic development, and address balance of payments challenges. The Coordinating Committee for Multilateral Export Controls aligned export control policies across the United States and its allies to present a common economic front against the Soviet Union and its satellites. Plurilateral agreements, such as the International Tin Agreement, actively managed trade in key commodities to safeguard supply chains.
By the 1990s, policymakers, economists, and business leaders had forgotten the nuances and pragmatism of their forebears—failing to realize that there are good reasons for preserving countries’ ability to manage their trade relations according to national interests. In the heady days following the fall of the Berlin Wall, there was a rush to adopt the simplicity of hyperglobalization: Would it not be better for all the people of the world to eliminate barriers to trade all together? And so were born the World Trade Organization, the North American Free Trade Agreement (NAFTA), and our present predicament.
It was thought that this approach would bring peace and prosperity, but it really just allowed multinational firms to chase subsidies and weak labor and environmental rules around the world. In the US, voters grew more skeptical as they saw working-class jobs move overseas, and economists responded with highly quantitative methods to calculate, often with false precision, enormous theoretical gains to be achieved by letting in floods of imports. And, at the same time, many other countries retained high tariff rates and nontariff barriers. So much for the post–Cold War optimism.
By the time President Trump first took office, the gulf between theory and practice was too large to ignore. Americans lost millions of high-quality manufacturing jobs, more than 70,000 plants shut down, working-class wages fell behind, the industrial base weakened, innovation slowed, real productivity in manufacturing declined, and communities across the country were harmed. The goods trade deficit exploded to $1.2 trillion annually, which in turn fed the country’s unsustainable current account deficit.
Writing with humility in 1933, for it represented a change in his views, John Maynard Keynes expressed doubts about “whether the economic loss of national self-sufficiency is great enough to outweigh the other advantages of gradually bringing the product and the consumer within the ambit of the same national, economic, and financial organization.” This was a turning point for Keynes, who went on to be among the most vocal advocates for stronger trade-regulating mechanisms at the Bretton Woods negotiations. As President Trump is crafting a new international economic order—predicated on balance, reciprocity, fairness, and resilience—it is time for the economics profession to take a cue from Keynes and catch up with the world as it is, rather than how we may wish it to be.
Mistaken assumptions
Nowhere is this catch-up more needed than in economic modeling. The models typically used to predict the effects of trade policy have many blind spots. They often assume full employment and seamless worker transitions between industries and geographies. The models do not reflect the complexity of supply-chain linkages and focus primarily on long-run efficiency gains—defined as the ability to source products at the lowest-possible cost. Such theoretical gains are treated as unalloyed social goods. These models mostly assume away realities that regular people, or trade practitioners like me, experience on a daily basis.
The economy rarely runs at full employment. Labor force participation declines in particular regions or for specific demographic groups, including working-class men, are proof of that. Transition costs are also real and severe. For example, David Autor and others have tracked what happened to the American workers and towns most exposed to the “China Shock.” Geographic mobility declined in trade-exposed places. Cross-sector reallocation of former manufacturing workers was minimal. When jobs eventually returned, they were lower-skill occupations and went to different people. Incumbent manufacturing workers, often Black and White men in midsize or smaller cities, never recovered their earnings. They aged in place and did not, as America’s policy elite encouraged, move to Phoenix to become home health workers or Seattle to code software.
The cost can be measured in human lives—and this is not hyperbole. A recent study by Amy Finkelstein and coauthors found that areas with average exposure to Mexican import competition under NAFTA experienced a sustained 0.68 percent increase in annual age-adjusted mortality. The damage was concentrated among working-age men and was distributed across most major causes of death. The authors found that this mortality impact more than erased the welfare gains identified in a leading economic analysis of NAFTA, making the agreement a deadly net loss for the people it was supposed to help.
Many models also fail to account for the sector-level linkages that influence how trade flows shift under rules of origin in modern trade agreements. We often do not gather the statistics we need to enable more accurate empirical analysis, including on supply-chain dynamics. Furthermore, limitations in statistical or modeling approaches feed false political narratives. For example, research by Susan Houseman has found that oft-touted gains in US manufacturing output were driven by how we measure increasing computing power, not by actually producing more stuff. Accounting for distorted computer industry figures, US real manufacturing output fell 6 percent between 2007 and 2016.