The Trade War Trade-Off: Short Term Gains Then Long Term Losses
The Trade War Trade-Off: Short Term Gains Then Long Term Losses
We project that even if the recently imposed tariffs are removed, GDP will be permanently smaller relative to having had no trade war. Extending the current trade war by several more years will lead to smaller losses in GDP in 2020 but will reduce GDP by more in the long run.
Introduction
International capital flows into the U.S. economy are linked to the amount of international trade. American household net purchases of imports return to the U.S. as foreign purchases of U.S. assets. We measure the historical effect of tariffs on financial flows into the U.S. and use this estimated relationship to examine the effect of various trade policy scenarios using Penn Wharton Budget Modelâs dynamic model.
Measuring Effective Openness to International Investment Flows
The concept of âeffective opennessâ to international capital flows is distinct from the laws that directly regulate (control) the flow of capital into and out of a country. Capital controls include residency-based measures that limit or prohibit the flow of capital. However, even a country with relatively few laws that directly limit the flow of capital may not be fully effectively open due to various non-legal frictions on capital flows, including a preference to invest in oneâs own country (the âhome biasâ puzzle1). We previously noted that the amount of foreign investment inflows depends on the willingness of foreign savers to purchase dollar-denominated assets. Additionally, we reviewed the real-world evidence for a strong and persistent home bias that motivates investors to reduce exposure to foreign assets despite higher expected yields.
In this study, we use gross savings and gross domestic product (GDP) data from the World Bank2 and financial inflow data from the Bureau of Economic Analysis3 to measure the effective openness of the U.S. economy to international capital flows. We measure the effective openness of the U.S. economy to foreign investment flows as the share of savings from the rest of the world that are invested into the U.S. normalized by the U.S. share of world GDP.4
Notes: ROW: Rest of World (not including the U.S.), world: All countries (including the U.S.), ROW -> U.S.: Rest of World investment in U.S.
In a closed economy, this measure equals zero since no foreign investment enters the United States. In a fully open economy, this measure equals one since the U.S. receives as much investment from foreigners as the U.S.âs share of world GDP. Figure 1 shows this measure historically. From 2001 to 2017, we find that the average rate is 0.37. The long-run trend, however, has been toward increased openness.
Notes: The dotted line represents our preliminary projection for years 2018 and 2019 based on our projections of gross savings, GDP and financial inflows into the U.S.; these estimates will become formalized after the World Bank and the Bureau of Economic Analysis update their data.
Figure 2 shows historical data from the U.S. International Trade Commission5 for tariff rates on imports. We show the average tariff rate over all imports, which is calculated as duties collected as a share of the total value of imports. We note that individual goods and countries face a variety of tariff rates which are accounted for in the average. Over the past century, U.S. tariff rates on imports have trended down. While tariffs have fallen sharply over time, we estimate that recent tariff levels have come back to levels last seen in the 1980s.
Notes: 1960-2017 from Office of Analysis and Research Services, Office of Operations, U.S. International Trade Commission (March 2019). Available at https://www.usitc.gov/documents/dataweb/ave_table_1891_2018.pdf. The dotted line represents the preliminary 2018 tariff rate from the U.S. International Trade Commission and we use NBER working paper (Amiti, Mary, Stephen Redding and David Weinstein, (2019). "The Impact of The 2018 Trade War on U.S. Prices and Welfare," NBER Working Paper, 25672. Available at https://www.nber.org/papers/w25672), for 2019 tariff rate.
We estimate an empirical relationship between average tariff rates and the level of effective openness as follows:6
Not surprisingly, when tariff rates increase, effective openness is reduced. In balance of payments terms, the current account (trade of goods) must be offset by the financial account (trade of assets). U.S. households purchase imports from foreigners with dollars. Foreigners can use those dollars to purchase U.S. exports or, instead, to acquire dollar-denominated assets. Primarily, those assets consist of U.S. government debt or of U.S. physical capital (via purchases of equity, business debt, direct investment, and so on). The U.S. is a net importer, so foreigners are net investors into dollar-denominated assets rather than net buyers of U.S. exports. The ability of foreigners to invest in U.S. physical capital is directly related to their acquisition of dollars from trade. Thus, a decrease in U.S. imports resulting from higher tariffs reduces effective openness, all else equal.
The Concept of Openness to International Capital Flows in PWBM
PWBM previously examined empirical data to find that the foreign take-up rate of new government debt issuance is 40 percent.7 U.S. federal government debt securities (which broadly include dollars themselves as the shortest term security) hold a special place in the world because the U.S. dollar is the worldâs reserve currency. Therefore, we expect foreigners to hold U.S. federal debt for reasons other than to allocate investment toward advantageous returns. Because foreigners have different reasons for holding U.S. federal debt and U.S. physical capital, there may also be a difference between foreignersâ take-up of U.S. federal debt and foreignersâ take-up of U.S. physical capital in the short-run.8 However, in the long-run, dollars to fund foreignersâ dollar-denominated asset purchases must come from trade imbalance. Consequently, all asset purchases must eventually decline if the U.S. ceases to be a net importer. We take the approach that tariffs reduce debt take-up by the same amount, which is consistent in the long-run and consistent with our modeling.9 PWBM implements a related definition of effective openness. We define openness as the additional investment needed for the U.S. after-tax return to capital to equal the world rate. The empirical measure of openness described above matches relatively closely with the modelâs definition of effective openness.
The Impact of Trade War Scenarios
Over the course of 2018, the average tariff rate on imports increased from 1.52 percent to 3.27 percent according to a recent NBER working paper.10 Based on our estimates of the relationship between tariffs and openness, we set the openness of the U.S. to foreign investment to be 21 percent in 2019. We previously showed the impact of an all-out trade war. Here, we model five policy scenarios:
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Small trade war, short: The U.S. economy is 21 percent open until 2021 and then reverts to the 21st century average of 37 percent.
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Small trade war, long: Same as (1), except the reversion to 37 percent open begins in 2026.
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Small trade war, permanent: The U.S. economy is 21 percent open indefinitely.
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Big trade war, short: Average tariff rates are increased another 3 percentage points to 6.27 percent. The U.S. economy is 13 percent open in 2021 and then reverts to the 21st century average of 37 percent over the course of 3 years.
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Big trade war, long: Same as (4), except the reversion to 37 percent open begins in 2026.
Notice that policy scenarios (1), (2) and (3) correspond to the current trade war, each lasting a different amount of time. Policy scenarios (4) and (5) correspond to a bigger trade war.11
Our projections reflect changes in the openness of the U.S. economy to foreign investment flows. We do not account for other effects of changes to trade policy, including adjustment costs from reallocating productive capital and labor and how trade can reduce the market power of domestic firms. Adding these factors would likely reinforce the key insight that even a temporary trade war can permanently lower GDP.
Figure 3 shows PWBMâs projection of key macroeconomic variables under each alternative trade war scenario relative to a scenario where openness remained at the 21st-century average of 37 percent from the year 2019 and onward. Use the drop-down menu to see the effect on GDP, effective labor input, and capital services.
Macroeconomic Variable
In the short-run, lower openness to foreign investment flows actually boosts GDP because U.S. households provide more labor supply, which, in part, ameliorates the consequences of lower domestic capital stock in the future. After 2019, the âno trade warâ scenario has the highest GDP, but the U.S. has been in a trade war since 2018. Notice that extending the current trade war, that is, going from scenario (1) to scenario (2), actually improves GDP in 2020. In all trade wars, the consequence of a temporary decrease in openness, however, creates a permanently lower private capital stock. Even when previous openness is restored, the temporary drop in openness causes U.S. capital to be lower over the long-run and permanently reduces GDP.
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Feldstein, M. and C. Horoika (1980), âDomestic Saving and International Capital Flows,â The Economic Journal, vol. 90, no. 358, pp. 314-329 and Obstfeld, M. and K. Rogoff (2000), âThe Six Major Puzzles in International Macroeconomics: Is There a Common Cause?â Macroeconomics Annual 2000, National Bureau of Economic Research, vol. 15, pp. 339-412. Â â©
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The World Bank. Gross savings (percent of GDP). Available at: https://data.worldbank.org/indicator/NY.GNS.ICTR.ZS and The World Bank. GDP (Current U.S. dollars). Available at: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD. Â â©
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Bureau of Economic Analysis. Table 1.1 U.S. International Transactions. U.S. financial inflow (millions of dollars). Available at: https://apps.bea.gov/itable/itable.cfm?reqid=62&step=1. Â â©
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We assume that the production function is similar across countries. Â â©
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https://www.usitc.gov/documents/dataweb/ave_table_1891_2018.pdf. Â â©
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Estimation uses all data points from 1977-2017 but excludes 2008-2009 financial crisis years as outliers (due to sharp reduction in investment into the U.S.). Our nonlinear regression model takes the form of 1/x with an R-squared measure of 0.4. Â â©
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Penn Wharton Budget Model. (2016). Setting Behavioral Responses in PWBMâS Dynamic Simulations. Available at: https://budgetmodel.wharton.upenn.edu/issues/2016/9/13/setting-behavioral-responses-in-pwbms-dynamic-simulations. Â â©
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We lack data to estimate the relationship between foreign take-up of U.S. federal debt and tariffs. Â â©
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PWBMâs Dynamic OLG assumes an economy with no aggregate risks. Â â©
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Amiti, Mary, Stephen Redding and David Weinstein, (2019). "The Impact of The 2018 Trade War on U.S. Prices and Welfare," NBER Working Paper, 25672. Available at: https://www.nber.org/papers/w25672. Â â©
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We assume that tax policy is held fixed at 2018 rates. In reality, numerous tax provisions under current law expire or phase-out in future years. This assumption avoids explaining interaction effects but does not change the key insights. Â â©